OpenHPC (v4.1)
Cluster Building Recipes
AlmaLinux 10 Base OS
Warewulf/Slurm Edition for Linux* (aarch64)
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This guide presents a simple cluster installation procedure using components from the OpenHPC software stack. OpenHPC represents an aggregation of a number of common ingredients required to deploy and manage an HPC Linux* cluster including provisioning tools, resource management, I/O clients, development tools, and a variety of scientific libraries. These packages have been pre-built with HPC integration in mind while conforming to common Linux distribution standards. The documentation herein is intended to be reasonably generic, but uses the underlying motivation of a small, 4-node stateless cluster installation to define a step-by-step process. Several optional customizations are included and the intent is that these collective instructions can be modified as needed for local site customizations.
Base Linux Edition: this edition of the guide highlights installation without the use of a companion configuration management system and directly uses distro-provided package management tools for component selection. The steps that follow also highlight specific changes to system configuration files that are required as part of the cluster install process.
This guide is targeted at experienced Linux system administrators for HPC environments. Knowledge of software package management, system networking, and PXE booting is assumed. Command-line input examples are highlighted throughout this guide via the following syntax:
echo "OpenHPC hello world"Unless specified otherwise, the examples presented are executed with elevated (root) privileges. The examples also presume use of the BASH login shell, though the equivalent commands in other shells can be substituted. In addition to specific command-line instructions called out in this guide, an alternate convention is used to highlight potentially useful tips or optional configuration options. These tips are highlighted via the following format:
This installation recipe assumes the availability of a single head node, and four compute nodes. The head node serves as the overall system management server (SMS) and is provisioned with AlmaLinux 10 and is subsequently configured to provision the remaining compute nodes with warewulf in a stateless configuration. For power management, we assume that the compute node baseboard management controllers (BMCs) are available via IPMI from the chosen head node. For file systems, we assume that the chosen head node will host an NFS file system that is made available to the compute nodes.
An outline of the physical architecture discussed is shown in the figure above and highlights the high-level networking configuration. The head node requires at least two Ethernet interfaces with eth0 connected to the local data center network and eth1 used to provision and manage the cluster backend (note that these interface names are examples and may be different depending on local settings and OS conventions). Two logical IP interfaces are expected to each compute node: the first is the standard Ethernet interface that will be used for provisioning and resource management. The second is used to connect to each host’s BMC and is used for power management and remote console access. Physical connectivity for these two logical IP networks is often accommodated via separate cabling and switching infrastructure; however, an alternate configuration can also be accommodated via the use of a shared NIC, which runs a packet filter to divert management packets between the host and BMC. Independent of the actual networking configuration it is recommended to have additional security boundaries like a firewall to protect the network interfaces from the Internet.
As this recipe details installing a cluster starting from bare-metal,
there is a requirement to define IP addresses and gather hardware MAC
addresses in order to support a controlled provisioning process. These
values are necessarily unique to the hardware being used, and this
document uses variable substitution (${variable}) in the
command-line examples that follow to highlight where local site inputs
are required. A summary of the required and optional variables used
throughout this recipe are presented below. Note that while the example
definitions above correspond to a small 4-node compute subsystem, the
compute parameters are defined in array format to accommodate logical
extension to larger node counts.
Required variables:
${sms_name} - Hostname for head node
${sms_ip} - Internal IP address on head
node
${sms_eth_internal} - Internal Ethernet interface on
head node
${eth_provision} - Provisioning interface for
computes
${internal_network} - Subnet network address for
internal network
${internal_netmask} - Subnet netmask for internal
network
${ipv4_gateway} - Default gateway for the internal
network
${dns_servers} - DNS resolver for the internal
network
${ntp_server} - Local ntp server for time
synchronization
${bmc_username} - BMC username for use by
IPMI
${bmc_password} - BMC password for use by
IPMI
${num_computes} - Total # of desired compute
nodes
${c_ip[0]}, ${c_ip[1]}, … - Desired
compute node addresses
${c_bmc[0]}, ${c_bmc[1]}, … - BMC
addresses for computes
${c_mac[0]}, ${c_mac[1]}, … - MAC
addresses for computes
${c_name[0]}, ${c_name[1]}, … - Host
names for computes
${compute_regex} - Regex matching all compute node
names (e.g. c*)
${compute_prefix} - Prefix for compute node names
(e.g. c)
${node_disk} - Device path for disk to be used for
provision-to-disk
The collection of command-line instructions that follow in this
guide, when combined with local site inputs, can be used to implement a
bare-metal system installation and configuration. The format of these
commands is intended to be usable via direct cut and paste (with
variable substitution for site-specific settings). Alternatively, the
OpenHPC documentation package (docs-ohpc) includes a
template script which includes a summary of all of the commands used
herein. This script can be used in conjunction with a simple text file
to define the local site variables defined in the previous section (see
Requirements/Assumptions) and is provided as a convenience for
administrators. For additional information on accessing this script,
please see the Automation Appendix.
In an external setting, installing the desired Base OS on a head node typically involves booting from a DVD ISO image on a new server. With this approach, insert the AlmaLinux 10 DVD, power cycle the host, and follow the distro provided directions to install the Base OS on your chosen head node. Alternatively, if choosing to use a pre-installed server, please verify that it is provisioned with the required AlmaLinux 10 distribution.
While it is theoretically possible to enable SELinux on a cluster
provisioned with warewulf, doing so is beyond the scope of this
document. Even the use of permissive mode can be problematic and we
therefore recommend disabling SELinux on the head node. If
SELinux components are installed locally, the
selinuxenabled command can be used to determine if SELinux
is currently enabled. If enabled, consult the distro documentation for
information on how to disable.
If your environment requires an HTTPS caching proxy for external network access, configure it here before installing any packages. The placeholder below marks where site-specific proxy setup should be injected by a pre-processing step.
In addition to the OpenHPC package repository, the head node also requires access to the standard base OS distro repositories in order to resolve necessary dependencies. For AlmaLinux 10, the requirements are to have access to the BaseOS, Appstream, Extras, CRB, and EPEL repositories for which mirrors are freely available online:
Although the public EPEL repository would be enabled automatically
upon installation of the ohpc-release package, we install
it now. Note that this does depend on the AlmaLinux 10 Extras
repository, which is shipped with AlmaLinux 10 and is typically enabled
by default. In contrast, the CRB repository is typically disabled in a
standard install, but can be enabled from EPEL as follows:
dnf -y install epel-release dnf-plugins-core
dnf config-manager --set-enabled crbProvisioning services rely on DHCP, TFTP, and HTTP network protocols. Depending on the local Base OS configuration on the head node, default firewall rules may prohibit these services. Consequently, this recipe assumes that the local firewall running on the head node is disabled (it is still recommended to have additional security boundaries like a firewall to protect the cluster from the Internet). If installed, the default firewall service can be disabled as follows:
systemctl disable --now firewalld || trueHPC systems rely on synchronized clocks throughout the system and the
NTP protocol can be used to facilitate this synchronization. To enable
NTP services on the head node with a specific server
${ntp_server}, and allow this server to serve as a local
time server for the cluster, issue the following:
dnf -y install chrony
systemctl enable chronyd.service
echo "local stratum 10" >> /etc/chrony.conf
echo "server ${ntp_server}" >> /etc/chrony.conf
echo "allow all" >> /etc/chrony.conf
systemctl restart chronydThe following command adds OFED and PSM support using base distro-provided drivers to the chosen head node.
dnf -y groupinstall "InfiniBand Support"
# Load IB services
udevadm trigger --type=devices --action=add
systemctl restart rdma-load-modules@infiniband.serviceWith the InfiniBand drivers included, you can also enable (optional)
IPoIB functionality which provides a mechanism to send IP packets over
the IB network. If you plan to mount a Lustre file system over
InfiniBand, then having IPoIB enabled is a requirement for the Lustre
client. OpenHPC provides a template configuration file to aid in setting
up an ib0 interface on the head node. To use, copy the
template provided and update the ${sms_ipoib} and
${ipoib_netmask} entries to match local desired settings
(alter ib0 naming as appropriate if system contains dual-ported or
multiple HCAs).
cp /opt/ohpc/pub/examples/network/centos/ifcfg-ib0 \
/etc/sysconfig/network-scripts
# Define local IPoIB address and netmask
sed -i "s/master_ipoib/${sms_ipoib}/" \
/etc/sysconfig/network-scripts/ifcfg-ib0
sed -i "s/ipoib_netmask/${ipoib_netmask}/" \
/etc/sysconfig/network-scripts/ifcfg-ib0
# configure NetworkManager to *not* override local /etc/resolv.conf
echo "[main]" > /etc/NetworkManager/conf.d/90-dns-none.conf
echo "dns=none" >> /etc/NetworkManager/conf.d/90-dns-none.conf
# Start up NetworkManager to initiate ib0
systemctl start NetworkManagerThe following command adds Omni-Path support using base distro-provided drivers to the chosen head node.
dnf -y install opa-basic-toolsWith the Base OS installed and booted, the next step is to add desired OpenHPC packages onto the head node in order to provide provisioning and resource management services for the rest of the cluster.
To begin, enable use of the OpenHPC repository by adding it to the
local list of available package repositories. Note that this requires
network access from your head node to the OpenHPC repository,
or alternatively, that the OpenHPC repository be mirrored locally. In
cases where network external connectivity is available, OpenHPC provides
an ohpc-release package that includes GPG keys for package
signing and enabling the repository. The example which follows
illustrates installation of the ohpc-release package
directly from the OpenHPC build server.
dnf -y install http://repos.openhpc.community/OpenHPC/4/EL_10/aarch64/\
ohpc-release-4-1.el10.aarch64.rpmNow OpenHPC packages can be installed. To add the base package on the head node issue the following:
dnf -y install ohpc-baseThe following command adds the Slurm workload manager server components to the chosen head node. Note that client-side components will be added to the corresponding compute image in a subsequent step. Note that Slurm leverages the use of the munge library to provide authentication services and this daemon also needs to be running on all hosts within the resource management pool.
# Install slurm server meta-package
dnf -y install ohpc-slurm-server
# Use ohpc-provided file for starting SLURM configuration
cp /etc/slurm/slurm.conf.ohpc /etc/slurm/slurm.conf
# Setup default cgroups file
cp /etc/slurm/cgroup.conf.example /etc/slurm/cgroup.conf
# Identify resource manager hostname on head node
sed -i "s/SlurmctldHost=\S\+/SlurmctldHost=${sms_name}/" \
/etc/slurm/slurm.confThere are a wide variety of configuration options and plugins
available for Slurm and the example config file illustrated above
targets a fairly basic installation. In particular, job completion data
will be stored in a text file (/var/log/slurm_jobcomp.log)
that can be used to log simple accounting information. Sites who desire
more detailed information, or want to aggregate accounting data from
multiple clusters, will likely want to enable the database accounting
back-end. This requires a number of additional local modifications (on
top of installing slurm-slurmdbd-ohpc), and users are
advised to consult the online documentation for
more detailed information on setting up a database configuration for
Slurm.
To add support for provisioning services, we install the Warewulf
provisioning system packages. Then the main Warewulf configuration files
are edited to reflect the environment. The yq package is
also installed to aid in configuring Warewulf yaml
files.
# Make sure required variables are set
: "${sms_eth_internal:?ERROR: sms_eth_internal not set}"
: "${internal_network:?ERROR: internal_network not set}"
# Install Warewulf
dnf -y install warewulf-ohpc yqAt this point, all of the packages necessary to use Warewulf on the head node should be installed. Next, we need to update the configuration to allow Warewulf to work with AlmaLinux 10, and to support local provisioning using a second private interface (refer to Figure 1).
# Edit the warewulf.conf file to use appropriate interface and settings
yq -i '.ipaddr = "'"${sms_ip}"'"' /etc/warewulf/warewulf.conf
yq -i '.netmask = "'"${internal_netmask}"'"' /etc/warewulf/warewulf.conf
yq -i '.network = "'"${internal_network}"'"' /etc/warewulf/warewulf.conf
yq -i '.dhcp["range start"] = "'"${internal_network}"'"' \
/etc/warewulf/warewulf.conf
yq -i '.dhcp["range end"] = "static"' /etc/warewulf/warewulf.conf
yq -i '.dhcp.template = "static"' /etc/warewulf/warewulf.conf
# Edit the nodes.conf to mount /opt on boot
sed -i "s/defaults,noauto,nofail,ro/defaults,nofail,ro/" \
/etc/warewulf/nodes.conf
# Turn on debugging messages
yq -i '.nodeprofiles.default.kernel.args -= ["quiet"]' \
/etc/warewulf/nodes.conf
echo "log-debug" >> /etc/dnsmasq.d/ww4-debug.conf
# Enable and start the warewulfd service before using wwctl.
systemctl enable --now warewulfd
# Create a new "nodes" profile and inherit the "default" profile
wwctl profile add nodes --profile default --comment "Nodes profile"
# Create a new "nodeconfig" overlay to store node
# configuration files and use the syncuser overlay.
wwctl overlay create nodeconfig
wwctl profile set --yes nodes --system-overlays nodeconfig \
--runtime-overlays syncuser
# Set default network configuration
wwctl profile set -y nodes --netname=default --netdev="${eth_provision}"
wwctl profile set -y nodes --netname=default --netmask="${internal_netmask}"
wwctl profile set -y nodes --netname=default --gateway="${ipv4_gateway}"
wwctl profile set -y nodes --netname=default --nettagadd=DNS="${dns_servers}"
# Configuring Warewulf will restart/enable relevant services to support provisioning
wwctl configure --all
# Generate ssh keys (usually generated on login)
bash /etc/profile.d/ssh_setup.shFirst, we create a minimal compute node image. Warewulf supports using container images as the base file system for provisioning, and it can import these directly from an OCI registry like Docker Hub. Container images must be created especially for use with Warewulf since they need to include things like a kernel and an init system. In this example we will import our base image from a set maintained by the Warewulf community on the GitHub container registry.
The wwctl image exec command runs the commands below it,
these commands also be run interactively one a time with the command
wwctl image shell almalinux-10. You can add
/bin/false as the last command to prevent the image from
rebuilding (it will show an error) and rebuild later with the
wwctl image build command.
# Import the base image from Warewulf
wwctl image import docker://ghcr.io/warewulf/warewulf-almalinux:10 \
almalinux-10 --syncuser
# Define chroot location
CHROOT=$(wwctl image show almalinux-10)
export CHROOT# Enable OpenHPC inside image and update image.
# Disable image build on exit, rebuild later.
wwctl image exec --build=false almalinux-10 -- /bin/bash -ex <<- EOF
dnf -y install dnf-utils
dnf -y install http://repos.openhpc.community/OpenHPC/4/EL_10/\
aarch64/ohpc-release-4-1.el10.aarch64.rpm
dnf -y update
EOFNext, we add additional components to include resource management client services, NTP support, and other additional packages to support the default OpenHPC environment. This process modifies the base provisioning image and will access the Base OS and OpenHPC repositories to resolve package install requests.
The instructions below are designed to be copied and pasted all at
once into a terminal. Alternatively you can run
wwctl image shell almalinux-10 to “run” the node image
interactively and run the commands one at a time, this method is
recommended.
We begin by installing a few common base packages:
# Install compute node base meta-package
wwctl image exec --build=false almalinux-10 -- /bin/bash -ex <<- EOF
dnf -y install epel-release
dnf -y install ohpc-base-compute
EOFNow, we can include additional required components to the compute instance including resource manager client, NTP, and development environment modules support.
Adding packages can be done by entering the image with
wwctl image shell, wwctl image exec, or using
a CHROOT.
wwctl image exec --build=false almalinux-10 -- /bin/bash -ex <<- EOF
# Add Slurm client support meta-package
dnf -y install ohpc-slurm-client
# Enable services to start on boot
systemctl enable munge.service
systemctl enable slurmd.service
# Add Network Time Protocol (NTP) support
dnf -y install chrony
# Include modules user environment
dnf -y install lmod-ohpc
EOFThe Warewulf system includes functionality to import arbitrary files
from the provisioning server for distribution to managed hosts through a
system called “overlays”. Some files, like /etc/passwd, and
/etc/hosts handled in this way by default. Here we add
directories and files to the nodesconfig overlay that is
applied to all nodes.
# Add the following to support unprivileged user namespaces for tools like Apptainer
wwctl overlay import --parents nodeconfig /etc/subuid
wwctl overlay import --parents nodeconfig /etc/subgid
# Identify head node as local NTP server, configure it with a template with a Tag
wwctl overlay import --parents nodeconfig \
/opt/ohpc/pub/examples/chrony.conf.ww /etc/chrony.conf.ww
wwctl profile set --yes nodes --tagadd ntpserver="${sms_ip}"
# Configure systemd and NetworkManger to wait for the network to be fully up.
wwctl overlay import --parents nodeconfig \
/opt/ohpc/pub/examples/network/NetworkManager-wait-online.service.d/override.conf \
/etc/systemd/system/NetworkManager-wait-online.service.d/override.confSimilarly, we can configure Slurm and import the cryptographic key that is required by the munge authentication library to be available on every host in the resource management pool, issue the following:
# Configure Slurm server in the overlay (using "configless" option)
# using a tag in a template file (slurmd.ww)
wwctl overlay import --parents nodeconfig \
/opt/ohpc/pub/examples/slurm/slurmd.ww /etc/sysconfig/slurmd.ww
# Set the value of the slurmctld tag to the $sms_ip for the nodes profile.
wwctl profile set --yes nodes --tagadd slurmctld="${sms_ip}"
# Configure munge
wwctl overlay import --parents nodeconfig /etc/munge/munge.key
wwctl overlay chown nodeconfig /etc/munge/munge.key "$(id -u munge):$(id -g munge)"
wwctl overlay chown nodeconfig /etc/munge "$(id -u munge):$(id -g munge)"
wwctl overlay chmod nodeconfig /etc/munge 0700Finally, to add optional support for controlling IPoIB
interfaces (see Optionally
add InfiniBand support services on head node), OpenHPC
includes a template file for Warewulf that can optionally be imported
and used later to provision ib0 network settings.
# Import the template file for the ib interface
wwctl overlay import --parents nodeconfig \
/opt/ohpc/pub/examples/network/centos/ifcfg-ib0.ww \
/etc/sysconfig/network-scripts/ifcfg-ib0.wwWarewulf provisions a node with an image then customizes it with overlays. This section highlights creation of the node image and overlays, followed by the registration of desired compute nodes.
Warewulf optionally supports two-stage provisioning to ramfs or disk on the compute nodes. The nodes are still stateless, but the image is copied to disk during the provisioning process and is reprovisioned on every boot. This can be useful for cases when the compute node images are large, for example GPU drivers, or the compute nodes have limited memory.
To configure two-stage provisioning, install Dracut and ignition
(ignition can also be used to provision swap and local storage (see
Warewulf documentation for details) on the compute node. The example
below provisions to ramfs, which is the default. To provision to disk,
see the next section. To aid in debugging, it is helpful to add
rd.shell to the kernel arguments.
## Add rd.shell to kernel arguments in the "default" profile.
yq -i '.nodeprofiles.default.kernel.args += ["rd.shell"]' \
/etc/warewulf/nodes.conf## Install Dracut in the image
wwctl image exec --build=false almalinux-10 -- /usr/bin/dnf install -y \
warewulf-ohpc-dracut
## Configure Dracut. Note the leading and trailing spaces
# in the quotes in "add_dracutmodules"
echo 'hostonly="no"' > "$CHROOT"/etc/dracut.conf.d/wwinit.conf
echo 'add_dracutmodules+=" wwinit "' \
>> "$CHROOT"/etc/dracut.conf.d/wwinit.conf
## Enable Dracut boot for compute nodes that use the "nodes" profile
wwctl profile set --yes nodes --tagadd IPXEMenuEntry=dracutOptionally, configure the compute node to provision to disk. Two
stage provisioning (previous step) must also be enabled. The compute
node will use, and erase, the disk specified by
node_disk.
## Install disk tools
wwctl image exec --build=false almalinux-10 -- /usr/bin/dnf install -y \
ignition gdisk
## Add ignition Dracut module.
echo 'add_dracutmodules+=" ignition "' \
>> "$CHROOT"/etc/dracut.conf.d/wwinit.conf
## Create the target "rootfs" partition and filesystem
wwctl profile set --yes nodes \
--diskname "${node_disk}" --diskwipe \
--partname rootfs --partcreate --partnumber 1 \
--fsname rootfs --fswipe --fsformat ext4 --fspath /
## Enable provision-to-disk for compute nodes that use the "nodes" profile
wwctl profile set nodes --yes --root=/dev/disk/by-partlabel/rootfsThe bootstrap image includes the runtime kernel and associated modules, as well as some simple scripts to complete the provisioning process. We explicitly rebuild Dracut and the image at the end because rebuilding the image is disabled in earlier steps. It is good practice to rebuild the overlays when after configuration changes.
## Build the Dracut initramfs
wwctl image exec --build=false almalinux-10 -- /usr/bin/dracut --force \
--regenerate-all# Build image
wwctl image build almalinux-10
wwctl overlay buildThis chapter highlights common additional customizations that can optionally be applied to the local cluster environment. Details on the steps required for each of these customizations are discussed further in the following sections.
If your compute resources support InfiniBand, the following commands add OFED and PSM support using base distro-provided drivers to the compute image.
# Add IB support and enable
dnf -y --installroot="$CHROOT" groupinstall "InfiniBand Support"If your compute resources support Omni-Path, the following commands add OPA support using base distro-provided drivers to the compute image.
# Add OPA support and enable
dnf -y --installroot="$CHROOT" install opa-basic-tools
dnf -y --installroot="$CHROOT" install libpsm2In order to utilize InfiniBand or Omni-Path as the underlying high
speed interconnect, it is generally necessary to increase the locked
memory settings for system users. This can be accomplished by adding the
/etc/security/limits.d/40-ohpc-limits.conf file and this
should be performed on all job submission hosts. In this recipe, jobs
are submitted from the head node, and the following commands
can be used to update the maximum locked memory settings on both the
head node and compute nodes:
# Update memlock settings on head node
echo '* soft memlock unlimited' >> \
/etc/security/limits.d/40-ohpc-limits.conf
echo '* hard memlock unlimited' >> \
/etc/security/limits.d/40-ohpc-limits.conf
# Update memlock settings on compute
echo '* soft memlock unlimited' >> \
"$CHROOT/etc/security/limits.d/40-ohpc-limits.conf"
echo '* hard memlock unlimited' >> \
"$CHROOT/etc/security/limits.d/40-ohpc-limits.conf"An additional optional customization that is recommended is to
restrict ssh access on compute nodes to only allow access
by users who have an active job associated with the node. This can be
enabled via the use of a pluggable authentication module (PAM) provided
as part of the Slurm package installs. To enable this feature on
compute nodes, issue the following:
echo 'account required pam_slurm.so' >> \
"$CHROOT/etc/pam.d/sshd"To add the optional NVIDIA GPU driver to the compute nodes, an additional external dnf repository provided by NVIDIA must be configured. Once the repository is configured, the GPU driver needs to be installed on the compute image and the corresponding toolkit installed on the SMS node.
OpenHPC provides a convenience package to enable the NVIDIA repository locally along with compatibility packages that integrate the NVIDIA HPC SDK within the standard OpenHPC user environment.
# Add NVIDIA GPU driver repository to the head node
dnf -y install cuda-repo-ohpc
# Add NVIDIA GPU driver repository to the compute nodes
dnf -y --installroot="$CHROOT" install cuda-repo-ohpc
# Install the GPU driver on the compute nodes
dnf -y --installroot="$CHROOT" install nvidia-driver:latest-dkms
# Enable DKMS service to automatically rebuild driver
wwctl image exec --build=false almalinux-10 -- /bin/sh -c \
"systemctl enable dkms"
# Install the toolkit on the head node
dnf -y --installroot="$CHROOT" install cuda-devel-ohpc nvidia-driver-cudaIt is often desirable to consolidate system logging information for the cluster in a central location, both to provide easy access to the data, and to reduce the impact of storing data inside the compute node’s memory footprint if it is stateless. The following commands highlight the steps necessary to configure compute nodes to forward their logs to the head node, and to allow the head node to accept these log requests.
# Configure head node to receive messages and reload rsyslog configuration
echo 'module(load="imudp")' >> /etc/rsyslog.d/ohpc.conf
echo 'input(type="imudp" port="514")' >> /etc/rsyslog.d/ohpc.conf
systemctl restart rsyslog
# Define compute node forwarding destination
wwctl image exec --build=false almalinux-10 -- /bin/sh -c \
"echo '*.* @${sms_ip}:514' > /etc/rsyslog.d/ohpc-forward.conf"
# Disable most local logging on computes.
# Emergency and boot logs will remain on the compute nodes
sed -i 's/^\*\.info/#\*\.info/' \
"$CHROOT/etc/rsyslog.conf"
sed -i 's/^authpriv/#authpriv/' \
"$CHROOT/etc/rsyslog.conf"
sed -i 's/^mail/#mail/' \
"$CHROOT/etc/rsyslog.conf"
sed -i 's/^cron/#cron/' \
"$CHROOT/etc/rsyslog.conf"
sed -i 's/^uucp/#uucp/' \
"$CHROOT/etc/rsyslog.conf"If planning to install the Intel® oneAPI compiler runtime (see Optional Development Tool
Builds), register the following additional path
(/opt/intel) to share with computes:
# (Optional) Setup NFS mount for /opt/intel if planning to install oneAPI packages
mkdir -v /opt/intel
echo "/opt/intel *(ro,no_subtree_check,fsid=12)" >> /etc/exports
echo '${sms_ip}:/opt/intel /opt/intel nfs nfsvers=4,nodev 0 0' >> \
"$CHROOT/etc/fstab"ClusterShell is an event-based Python library to execute commands in parallel across cluster nodes. Installation and basic configuration defining three node groups (adm, compute, and all) is as follows:
# Install ClusterShell
dnf -y install clustershell
# Setup node definitions
mv /etc/clustershell/groups.d/local.cfg \
/etc/clustershell/groups.d/local.cfg.orig
echo "adm: ${sms_name}" > \
/etc/clustershell/groups.d/local.cfg
echo "compute: ${compute_prefix}[1-${num_computes}]" >> \
/etc/clustershell/groups.d/local.cfg
echo "all: @adm,@compute" >> \
/etc/clustershell/groups.d/local.cfggenders is a static cluster configuration database or node typing database used for cluster configuration management. Other tools and users can access the genders database in order to make decisions about where an action, or even what action, is appropriate based on associated types or “genders”. Values may also be assigned to and retrieved from a gender to provide further granularity. The following example highlights installation and configuration of two genders: compute and bmc.
# Install genders
dnf -y install genders-ohpc
# Generate a sample genders file
echo -e "${sms_name}\tsms" > /etc/genders
for ((i=0; i<num_computes; i++)) ; do
echo -e "${c_name[$i]}\tcompute,bmc=${c_bmc[$i]}"
done >> /etc/gendersconman is a serial console management program designed to support a large number of console devices and simultaneous users. It supports logging console device output and connecting to compute node consoles via IPMI serial-over-lan. Installation and example configuration is outlined below.
# Install conman to provide a front-end to compute consoles and log output
dnf -y install conman-ohpc
# Configure conman for computes
# (note your IPMI password is required for console access)
for ((i=0; i<num_computes; i++)) ; do
echo -n 'CONSOLE name="'"${c_name[$i]}"'" dev="ipmi:'"${c_bmc[$i]}"'" '
echo -n 'ipmiopts="'U:"${bmc_username}",P:
echo "${IPMI_PASSWORD:-undefined}",W:solpayloadsize'"'
done >> /etc/conman.conf
# Enable and start conman
systemctl enable conman
systemctl start conmanNote that an additional kernel boot option is typically necessary to enable serial console output. This option is highlighted in the “Optional kernel arguments” section after compute nodes have been registered with the provisioning system.
Resource managers often provide for a periodic “node health check” to
be performed on each compute node to verify that the node is working
properly. Nodes which are determined to be “unhealthy” can be marked as
down or offline so as to prevent jobs from being scheduled or run on
them. This helps increase the reliability and throughput of a cluster by
reducing preventable job failures due to misconfiguration, hardware
failure, etc. OpenHPC distributes nhc to fulfill this
requirement.
In a typical scenario, the nhc driver script is run
periodically on each compute node by the resource manager client daemon.
It loads its configuration file to determine which checks are to be run
on the current node (based on its hostname). Each matching check is run,
and if a failure is encountered, nhc will exit with an
error message describing the problem. It can also be configured to mark
nodes offline so that the scheduler will not assign jobs to bad nodes,
reducing the risk of system-induced job failures.
# Install NHC on head and compute nodes
dnf -y install nhc-ohpc
dnf -y --installroot="$CHROOT" install nhc-ohpc# Register as SLURM's health check program
echo "HealthCheckProgram=/usr/sbin/nhc" >> /etc/slurm/slurm.conf
# execute every five minutes
echo "HealthCheckInterval=300" >> /etc/slurm/slurm.confMagpie contains a number of scripts to aid in running a variety of big data software frameworks within HPC queuing environments. Examples include Hadoop, Spark, Hbase, Storm, Pig, Mahout, Phoenix, Kafka, Zeppelin, and Zookeeper. Consult the online repository for more information on using these scripts; basic installation is outlined as follows:
# Install magpie
dnf -y install magpie-ohpcTypical Charliecloud workflows are based around Docker containers, but it is not strictly necessary to install Docker itself on the HPC resource. A common pattern is to build the Docker container on a laptop or VM and upload the result to the cluster for use with Charliecloud. More information can be found at https://hpc.github.io/charliecloud/
Nodes can be registered for provisioning using the following:
for ((i=0; i<num_computes; i++)) ; do
wwctl node add --image=almalinux-10 --profile=nodes --netname=default \
--ipaddr="${c_ip[$i]}" --hwaddr="${c_mac[$i]}" "${c_name[i]}"
doneOptionally define IPoIB network settings (required if planning to mount Lustre/BeeGFS over IB)
for ((i=0; i<num_computes; i++)) ; do
wwctl node set --yes "${c_name[$i]}" --netname=ib --netdev=ib0 \
--ipaddr="${c_ipoib[$i]}" --netmask="${ipoib_netmask}"
doneFinally, rebuild the image to incorporate any optional packages installed into the chroot during customization, then rebuild the overlays and update the Warewulf configuration.
# Rebuild image to include any customization chroot changes
wwctl image build almalinux-10
# build the overlays for all the nodes
wwctl overlay build
# Update Warewulf configure
wwctl configure --allIn an earlier section, the Slurm resource manager was installed and configured for use on both the head node and compute node instances. With the cluster nodes up and functional, we can now startup the resource manager services in preparation for running user jobs.
# Start munge and slurm controller on head node
systemctl enable --now munge
systemctl enable --now slurmctldRunning systems may need to restart slurmctld to pickup
any changes.
At this point, the head node should be able to boot the
newly defined compute nodes. Assuming that the compute node BIOS
settings are configured to boot over PXE, all that is required to
initiate the provisioning process is to power cycle each of the desired
hosts using IPMI access. The following commands use the
ipmitool utility to initiate power resets on each of the
four compute hosts. Note that the utility requires that the
IPMI_PASSWORD environment variable be set with the local
BMC password in order to work interactively.
for ((i=0; i<num_computes; i++)) ; do
ipmitool -E -I lanplus -H "${c_bmc[$i]}" -U "${bmc_username}" \
-P "${bmc_password}" chassis power reset
doneOnce kicked off, the boot process should take less than 5 minutes
(depending on BIOS post times) and you can verify that the compute hosts
are available via ssh, or via parallel ssh tools to multiple hosts. For
example, to run a command on the newly imaged compute hosts using
pdsh, execute the following:
pdsh -w ${compute_prefix}[1-${num_computes}] uptime
c1 05:03am up 0:02, 0 users, load average: 0.20, 0.13, 0.05
c2 05:03am up 0:02, 0 users, load average: 0.20, 0.14, 0.06
c3 05:03am up 0:02, 0 users, load average: 0.19, 0.15, 0.06
c4 05:03am up 0:02, 0 users, load average: 0.15, 0.12, 0.05The install procedure outlined in Install OpenHPC Components highlighted the steps necessary to install a head node, assemble and customize a compute image, and provision several compute hosts from bare-metal. With these steps completed, additional OpenHPC-provided packages can now be added to support a flexible HPC development environment including development tools, C/C++/FORTRAN compilers, MPI stacks, and a variety of 3rd party libraries. The following subsections highlight the additional software installation procedures.
To aid in general development efforts, OpenHPC provides recent versions of the GNU autotools collection, the Valgrind memory debugger, EasyBuild, and Spack. These can be installed as follows:
# Install autotools meta-package
dnf -y install ohpc-autotools
dnf -y install EasyBuild-ohpc
dnf -y install hwloc-ohpc
dnf -y install spack-ohpc
dnf -y install valgrind-ohpcOpenHPC presently packages the GNU compiler toolchain integrated with the underlying Lmod modules system in a hierarchical fashion. The modules system will conditionally present compiler-dependent software based on the toolchain currently loaded.
dnf -y install gnu15-compilers-ohpcFor MPI development and runtime support, OpenHPC provides pre-packaged builds for a variety of MPI families and transport layers. Currently available options and their applicability to various network transports are summarized in the Available MPI variants table below. The command that follows installs a starting set of MPI families that are compatible with both ethernet and high-speed fabrics.
Table: Available MPI builds
| Ethernet (TCP) | InfiniBand | |
|---|---|---|
| MPICH | ✓ | |
| OpenMPI | ✓ | ✓ |
dnf -y install openmpi5-pmix-gnu15-ohpc mpich-ofi-gnu15-ohpcNote that OpenHPC 2.x introduces the use of two related transport
layers for the MPICH and OpenMPI builds that support a variety of
underlying fabrics: UCX (Unified
Communication X) and OFI (OpenFabrics
interfaces). In the case of OpenMPI, a monolithic build is provided
which supports both transports and end-users can customize their runtime
preferences with environment variables. For MPICH, two separate builds
are provided and the example above highlighted installing the
ofi variant. However, the packaging is designed such that
both versions can be installed simultaneously and users can switch
between the two via normal module command semantics. Alternatively, a
site can choose to install the ucx variant instead as a
drop-in MPICH replacement:
dnf -y install mpich-ucx-gnu15-ohpcIn the case where both MPICH variants are installed, two modules will be visible in the end-user environment and an example of this configuration is highlighted is below.
module avail mpich
-------------------- /opt/ohpc/pub/moduledeps/gnu15---------------------
mpich/3.4.3-ofi mpich/3.4.3-ucx (D)If your system includes InfiniBand and you enabled underlying support in InfiniBand support and Enable Infiniband Drivers, an additional MVAPICH2 family is available for use:
dnf -y install mvapich2-gnu15-ohpcAlternatively, if your system includes Intel Omni-Path, use the
(psm2) variant of MVAPICH2 instead:
dnf -y install mvapich2-psm2-gnu15-ohpcOpenHPC provides a variety of open-source tools to aid in application performance analysis (refer to Package Manifest for a listing of available packages). This group of tools can be installed as follows:
# Install perf-tools meta-package
dnf -y install ohpc-gnu15-perf-toolsSystem users often find it convenient to have a default development
environment in place so that compilation can be performed directly for
parallel programs requiring MPI. This setup can be conveniently enabled
via modules and the OpenHPC modules environment is pre-configured to
load an ohpc module on login (if present). The following
package install provides a default environment that enables autotools,
the GNU compiler toolchain, and the OpenMPI stack.
dnf -y install lmod-defaults-gnu15-openmpi5-ohpcOpenHPC provides pre-packaged builds for a number of popular open-source tools and libraries used by HPC applications and developers. For example, OpenHPC provides builds for FFTW and HDF5 (including serial and parallel I/O support), and the GNU Scientific Library (GSL). Again, multiple builds of each package are available in the OpenHPC repository to support multiple compiler and MPI family combinations where appropriate. Note, however, that not all combinatorial permutations may be available for components where there are known license incompatibilities. The general naming convention for builds provided by OpenHPC is to append the compiler and MPI family name that the library was built against directly into the package name. For example, libraries that do not require MPI as part of the build process adopt the following RPM name:
package-<compiler_family>-ohpc-<package_version>-<release>.rpm
Packages that do require MPI as part of the build expand upon this convention to additionally include the MPI family name as follows:
package-<compiler_family>-<mpi_family>-ohpc-<package_version>-<release>.rpm
To illustrate this further, the command below queries the locally configured repositories to identify all of the available PETSc packages that were built with the GNU toolchain. The resulting output that is included shows that pre-built versions are available for each of the supported MPI families presented in MPI Stacks.
dnf search petsc-gnu15 ohpc
Loaded plugins: fastestmirror
Loading mirror speeds from cached hostfile
=========================== N/S matched: petsc-gnu15, ohpc ===========================
petsc-gnu15-mpich-ohpc.x86_64 : Portable Extensible Toolkit for Scientific Computation
petsc-gnu15-openmpi5-ohpc.x86_64 : Portable Extensible Toolkit for Scientific Comp...For convenience, OpenHPC provides package aliases for these 3rd party libraries and utilities that can be used to install available libraries for use with the GNU compiler family toolchain. For parallel libraries, aliases are grouped by MPI family toolchain so that administrators can choose a subset should they favor a particular MPI stack. Please refer to the Package Manifest appendix for a more detailed listing of all available packages in each of these functional areas. To install all available package offerings within OpenHPC, issue the following:
# Install 3rd party libraries/tools meta-packages built with GNU toolchain
dnf -y install ohpc-gnu15-serial-libs
dnf -y install ohpc-gnu15-io-libs
dnf -y install ohpc-gnu15-python-libs
dnf -y install ohpc-gnu15-runtimesIn addition to the 3rd party development libraries built using the open source toolchains mentioned in an earlier section, OpenHPC also provides optional compatible builds for use with the compilers and MPI stack included in newer versions of the Intel(R) oneAPI HPC Toolkit (using the classic compiler variants). These packages provide a similar hierarchical user environment experience as other compiler and MPI families present in OpenHPC.
To take advantage of the available builds, OpenHPC provides a convenience package to enable the oneAPI repository locally along with compatibility packages that integrate oneAPI-generated compiler and MPI modulefiles within the standard OpenHPC user environment. To enable the Intel(R) oneAPI repository and install minimum compiler and MPI requirements for OpenHPC packaging, issue the following:
# Enable Intel oneAPI and install OpenHPC compatibility packages
dnf -y install intel-oneapi-toolkit-release-ohpc
rpm --import \
https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
dnf -y install intel-compilers-devel-ohpc
dnf -y install intel-mpi-devel-ohpcTo enable all 3rd party builds available in OpenHPC that are compatible with the Intel(R) oneAPI classic compiler suite, issue the following:
# Optionally, choose the Omni-Path enabled build for MVAPICH2.
# Otherwise, skip to retain IB variant
dnf -y install mvapich2-psm2-intel-ohpc# Install 3rd party libraries/tools meta-packages built with Intel toolchain
dnf -y install openmpi5-pmix-intel-ohpc
dnf -y install ohpc-intel-serial-libs
dnf -y install ohpc-intel-geopm
dnf -y install ohpc-intel-io-libs
dnf -y install ohpc-intel-perf-tools
dnf -y install ohpc-intel-python3-libs
dnf -y install ohpc-intel-mpich-parallel-libs
dnf -y install ohpc-intel-mvapich2-parallel-libs
dnf -y install ohpc-intel-openmpi5-parallel-libs
dnf -y install ohpc-intel-impi-parallel-libsAfter this, check status of the nodes within Slurm by using the
sinfo command. All compute nodes should be in an
idle state (without asterisk). If the state is reported as
unknown, the following might help:
scontrol update partition=normal state=idleIn case of additional Slurm issues, ensure that the configuration file fits your hardware and that it is identical across the nodes. Also, verify that the Slurm user id is the same on the head node and compute nodes. You may also consult Slurm Troubleshooting Guide.
We will now add a new user to the cluster. This will be used later to run a test job.
useradd -m testWarewulf installs a utility on the compute nodes to automatically synchronize overlay files from the provisioning server at one minute intervals. To rebuild the overlay, run the following:
wwctl overlay buildAfter re-syncing to notify Warewulf of file modifications made on the head node, it should take approximately one minute for the changes to propagate.
Generate NHC configuration file based on compute node environment
pdsh -w c1 "/usr/sbin/nhc-genconf -H '*' -c -" | dshbak -cWe now run some simple tests on the cluster to ensure it is operational.
With the resource manager enabled for production usage, users should now be able to run jobs. To demonstrate this, we will add a “test” user on the head node that can be used to run an example job.
OpenHPC includes a simple “hello-world” MPI application in the
/opt/ohpc/pub/examples directory that can be used for this
quick compilation and execution. OpenHPC also provides a companion
job-launch utility named prun that is installed in concert
with the pre-packaged MPI toolchains. This convenience script provides a
mechanism to abstract job launch across different resource managers and
MPI stacks such that a single launch command can be used for parallel
job launch in a variety of OpenHPC environments. It also provides a
centralizing mechanism for administrators to customize desired
environment settings for their users.
To use the newly created “test” account to compile and execute the
application interactively through the resource manager,
execute the following (note the use of prun for parallel
job launch which summarizes the underlying native job launch mechanism
being used):
# Switch to "test" user
su - test
# Compile MPI "hello world" example
[test@sms ~]$ mpicc -O3 /opt/ohpc/pub/examples/mpi/hello.c
# Submit interactive job request and use prun to launch executable
[test@sms ~]$ salloc -n 8 -N 2
[test@c1 ~]$ prun ./a.out
[prun] Master compute host = c1
[prun] Resource manager = slurm
[prun] Launch cmd = mpiexec.hydra -bootstrap slurm ./a.out
Hello, world (8 procs total)
--> Process # 0 of 8 is alive. -> c1
--> Process # 4 of 8 is alive. -> c2
--> Process # 1 of 8 is alive. -> c1
--> Process # 5 of 8 is alive. -> c2
--> Process # 2 of 8 is alive. -> c1
--> Process # 6 of 8 is alive. -> c2
--> Process # 3 of 8 is alive. -> c1
--> Process # 7 of 8 is alive. -> c2For batch execution, OpenHPC provides a simple job script for
reference (also housed in the /opt/ohpc/pub/examples
directory. This example script can be used as a starting point for
submitting batch jobs to the resource manager and the example below
illustrates use of the script to submit a batch job for execution using
the same executable referenced in the previous interactive example.
# Copy example job script
[test@sms ~]$ cp /opt/ohpc/pub/examples/slurm/job.mpi .
# Examine contents (and edit to set desired job sizing characteristics)
[test@sms ~]$ cat job.mpi
#!/bin/bash
#SBATCH -J test # Job name
#SBATCH -o job.%j.out # Name of stdout output file (%j expands to %jobId)
#SBATCH -N 2 # Total number of nodes requested
#SBATCH -n 16 # Total number of mpi tasks #requested
#SBATCH -t 01:30:00 # Run time (hh:mm:ss) - 1.5 hours
# Launch MPI-based executable
prun ./a.out
# Submit job for batch execution
[test@sms ~]$ sbatch job.mpi
Submitted batch job 339This appendix highlights the availability of a companion installation script that is included with OpenHPC documentation. This script, when combined with local site inputs, can be used to implement a starting recipe for bare-metal system installation and configuration. This template script is used during validation efforts to test cluster installations and is provided as a convenience for administrators as a starting point for potential site customization.
The template script relies on the use of a simple text file to define
local site variables that were outlined in the Inputs section. By
default, the template installation script attempts to use local variable
settings sourced from the
/opt/ohpc/pub/doc/recipes/vanilla/input.local file,
however, this choice can be overridden by the use of the
${OHPC_INPUT_LOCAL} environment variable. The template
install script is intended for execution on the head
node and is installed as part of the docs-ohpc
package into /opt/ohpc/pub/doc/recipes/vanilla/recipe.sh.
After enabling the OpenHPC repository and reviewing the guide for
additional information on the intent of the commands, the general
starting approach for using this template is as follows:
docs-ohpc packagednf -y install docs-ohpccp /opt/ohpc/pub/doc/recipes/almalinux10/input.local input.localUpdate input.local with desired settings
Copy the template installation script which contains command-line instructions culled from this guide.
cp -p /opt/ohpc/pub/doc/recipes/almalinux10/aarch64/warewulf/slurm/recipe.sh .Review and edit recipe.sh to suite.
Use environment variable to define local input file and execute
recipe.sh to perform a local installation.
export OHPC_INPUT_LOCAL=./input.local
./recipe.shAs newer OpenHPC releases are made available, users are encouraged to
upgrade their locally installed packages against the latest repository
versions to obtain access to bug fixes and newer component versions.
This can be accomplished with the underlying package manager as OpenHPC
packaging maintains versioning state across releases. Also, package
builds available from the OpenHPC repositories have “-ohpc”
appended to their names so that wild cards can be used as a simple way
to obtain updates. The following general procedure highlights a method
for upgrading existing installations. When upgrading from a minor
release older than v4, you will first need to update your local OpenHPC
repository configuration to point against the v4 release (or update your
locally hosted mirror). Refer to an earlier section for more details on
enabling the latest repository. In contrast, when upgrading between
micro releases on the same branch (e.g. from v4 to 4.2), there is no
need to adjust local package manager configurations when using the
public repository as rolling updates are pre-configured.
dnf clean expire-cache
dnf --installroot="$CHROOT" clean expire-cachednf -y upgrade "*-ohpc"
# Any new Base OS provided dependencies can be installed by
# updating the ohpc-base metapackage
dnf -y upgrade "ohpc-base"dnf -y --installroot="$CHROOT" upgrade "*-ohpc"
# Any new compute-node Base OS provided dependencies can be installed by
# updating the ohpc-base-compute metapackage
dnf -y --installroot="$CHROOT" upgrade "ohpc-base-compute"wwvnfs --chroot $CHROOTIn the case where packages were upgraded within the chroot compute image, you will need to reboot the compute nodes when convenient to enable the changes.
This appendix details the installation and basic use of the integration test suite used to support OpenHPC releases. This suite is not intended to replace the validation performed by component development teams, but is instead, devised to confirm component builds are functional and interoperable within the modular OpenHPC environment. The test suite is generally organized by components and the OpenHPC CI workflow relies on running the full suite using Jenkins to test multiple OS configurations and installation recipes. To facilitate customization and running of the test suite locally, we provide these tests in a standalone RPM.
dnf -y install test-suite-ohpcThe RPM installation creates a user named ohpc-test to
house the test suite and provide an isolated environment for execution.
Configuration of the test suite is done using standard GNU autotools
semantics and the BATS shell-testing
framework is used to execute and log a number of individual unit tests.
Some tests require privileged execution, so a different combination of
tests will be enabled depending on which user executes the top-level
configure script. Non-privileged tests requiring execution
on one or more compute nodes are submitted as jobs through the SLURM
resource manager. The tests are further divided into “short” and “long”
run categories. The short run configuration is a subset of approximately
180 tests to demonstrate basic functionality of key components (e.g. MPI
stacks) and should complete in 10-20 minutes. The long run (around 1000
tests) is comprehensive and can take an hour or more to complete.
Most components can be tested individually, but a default
configuration is setup to enable collective testing. To test an isolated
component, use the configure option to disable all tests,
then re-enable the desired test to run. The --help option
to configure will display all possible tests. By default,
the test suite will endeavor to run tests for multiple MPI stacks where
applicable. To restrict tests to only a subset of MPI families, use the
--with-mpi-families option
(e.g. --with-mpi-families="openmpi4"). Example output is
shown below (some output is omitted for the sake of brevity).
su - ohpc-test
[test@sms ~]$ cd tests
[test@sms ~]$ ./configure --disable-all --enable-fftw
checking for a BSD-compatible install... /bin/install -c
checking whether build environment is sane... yes
------------------------------------ SUMMARY -----------------------------------
Package version............... : test-suite-2.0.0
Build user.................... : ohpc-test
Build host.................... : sms001
Configure date................ : 2020-10-05 08:22
Build architecture............ : aarch64
Compiler Families............. : gnu9
MPI Families.................. : mpich mvapich2 openmpi4
Python Families............... : python3
Resource manager ............. : SLURM
Test suite configuration...... : short
Libraries:
Adios .................... : disabled
Boost .................... : disabled
Boost MPI................. : disabled
FFTW...................... : enabled
GSL....................... : disabled
HDF5...................... : disabled
HYPRE..................... : disabledMany OpenHPC components exist in multiple flavors to support multiple
compiler and MPI runtime permutations, and the test suite takes this in
to account by iterating through these combinations by default. If
make check is executed from the top-level test directory,
all configured compiler and MPI permutations of a library will be
exercised. The following highlights the execution of the FFTW related
tests that were enabled in the previous step.
[test@sms ~]$ make check
make --no-print-directory check-TESTS
PASS: libs/fftw/ohpc-tests/test_mpi_families
============================================================================
Testsuite summary for test-suite 2.0.0
============================================================================
# TOTAL: 1
# PASS: 1
# SKIP: 0
# XFAIL: 0
# FAIL: 0
# XPASS: 0
# ERROR: 0
============================================================================
[test@sms ~]$ cat libs/fftw/tests/family-gnu*/rm_execution.log
1..3
ok 1 [libs/FFTW] Serial C binary runs under resource manager (SLURM/gnu9/mpich)
ok 2 [libs/FFTW] MPI C binary runs under resource manager (SLURM/gnu9/mpich)
ok 3 [libs/FFTW] Serial Fortran binary runs under resource manager (SLURM/gnu9/mpich)
PASS rm_execution (exit status: 0)
1..3
ok 1 [libs/FFTW] Serial C binary runs under resource manager (SLURM/gnu9/mvapich2)
ok 2 [libs/FFTW] MPI C binary runs under resource manager (SLURM/gnu9/mvapich2)
ok 3 [libs/FFTW] Serial Fortran binary runs under resource manager (SLURM/gnu9/...
PASS rm_execution (exit status: 0)
1..3
ok 1 [libs/FFTW] Serial C binary runs under resource manager (SLURM/gnu9/openmpi4)
ok 2 [libs/FFTW] MPI C binary runs under resource manager (SLURM/gnu9/openmpi4)
ok 3 [libs/FFTW] Serial Fortran binary runs under resource manager (SLURM/gnu9/...
PASS rm_execution (exit status: 0)Administrators may wish to add locally built software packages to the
OpenHPC module hierarchy. This can be accomplished by creating module
files in the appropriate locations under
/opt/ohpc/pub/moduledeps or
/opt/ohpc/pub/modulefiles. Two sample module files are
included in the examples-ohpc package—one representing an
application with no compiler or MPI runtime dependencies, and one
dependent on OpenMPI and the GNU toolchain. Simply copy these files to
the prescribed locations, and the lmod application should
pick them up automatically.
# Create a simple example module
mkdir /opt/ohpc/pub/modulefiles/example1
cp /opt/ohpc/pub/examples/example.modulefile \
/opt/ohpc/pub/modulefiles/example1/1.0
# Create an example module with a dependency
mkdir /opt/ohpc/pub/moduledeps/gnu7-openmpi3/example2
cp /opt/ohpc/pub/examples/example-mpi-dependent.modulefile \
/opt/ohpc/pub/moduledeps/gnu7-openmpi3/example2/1.0
# Show modules
module availExample Output
----------------------- /opt/ohpc/pub/moduledeps/gnu7-openmpi3 ------------------------
adios/1.12.0 imb/2018.0 netcdf-fortran/4.4.4 ptscotch/6.0.4
boost/1.65.1 mpi4py/2.0.0 netcdf/4.4.1.1 scalapack/2.0.2
example2/1.0 mpiP/3.4.1 petsc/3.7.6 scalasca/2.3.1
fftw/3.3.6 mumps/5.1.1 phdf5/1.10.1 scipy/0.19.1
hypre/2.11.2 netcdf-cxx/4.3.0 pnetcdf/1.8.1 scorep/3.1
--------------------------- /opt/ohpc/pub/moduledeps/gnu7 -----------------------------
R/3.4.2 metis/5.1.0 ocr/1.0.1 pdtoolkit/3.24
gsl/2.4 mpich/3.2 openblas/0.2.20 plasma/2.8.0
hdf5/1.10.1 numpy/1.13.1 openmpi3/3.0.0 (L) scotch/6.0.4
---------------------------- /opt/ohpc/admin/modulefiles ------------------------------
spack/0.10.0
----------------------------- /opt/ohpc/pub/modulefiles -------------------------------
EasyBuild/3.4.1 cmake/3.9.2 hwloc/1.11.8 pmix/1.2.3
autotools (L) example1/1.0 (L) llvm5/5.0.0 prun/1.2 (L)
clustershell/1.8 gnu7/7.2.0 (L) ohpc (L) singularity/2.4
Where:
L: Module is loaded
Use "module spider" to find all possible modules.
Use "module keyword key1 key2 ..." to search for all possible modules matching any of
the "keys".
OpenHPC packages can be rebuilt from source using the source RPMs available from the OpenHPC repository. This allows administrators to customize package builds for their specific needs. One way to accomplish this is to install the appropriate source RPM, modify the spec file as needed, and rebuild to obtain an updated binary RPM. OpenHPC spec files contain macros to facilitate local customizations of compiler, compilation flags and MPI family. A brief example using the FFTW library is highlighted below. Note that the source RPMs can be downloaded from the community repository server at http://repos.openhpc.community via a web browser or directly via dnf as highlighted below. In this example we make an explicit change to FFTW’s configuration, as well as modifying the CFLAGS environment variable. The package is also tagged with an additional delimiter to allow easy co-installation and use.
# Install rpm-build package and dnf tools from base OS distro
sudo dnf -y install rpm-build dnf-plugins-core
# Install FFTW's build dependencies
sudo dnf builddep fftw-gnu15-openmpi5-ohpc
# Download SRPM from OpenHPC repository and install locally
dnf download --source fftw-gnu15-openmpi5-ohpc
rpm -i ./fftw-gnu15-openmpi5-ohpc-*.rpm
# Modify spec file as desired
cd ~/rpmbuild/SPECS
sed -i "s/enable-static=no/enable-static=yes/" fftw.spec
# Increment RPM release so the package manager will see an update
sed -i "s/Release: 400.ohpc.3.1/Release: 400.ohpc.3.2/" fftw.spec
# Rebuild binary RPM. Note that additional directives can be specified to modify build
rpmbuild -bb --define "OHPC_CFLAGS '-O3 -mtune=native'" \
--define "OHPC_CUSTOM_DELIM static" fftw.spec
# Install the new package
sudo dnf -y install \
../RPMS/$(uname -m)/fftw-gnu15-openmpi5-static-ohpc-*.$(uname -m).rpmThe new module file now appears along side the default.
$ module -t spider fftw
fftw/3.3.10-static
fftw/3.3.10
This appendix provides a summary of available meta-package groupings and all of the individual RPM packages that are available as part of this OpenHPC release. The meta-packages provide a mechanism to group related collections of RPMs by functionality and provide a convenience mechanism for installation. A list of the available meta-packages and a brief description is presented in the table below.
| Group Name | Description |
|---|---|
| ohpc-arm1-io-libs | Collection of IO library builds for use with the Arm Compiler for Linux toolchain. |
| ohpc-arm1-mpich-parallel-libs | Collection of parallel library builds for use with the Arm Compiler for Linux and the MPICH runtime. |
| ohpc-arm1-openmpi5-parallel-libs | Collection of parallel library builds for use with the Arm Compiler for Linux and the openmpi5 runtime. |
| ohpc-arm1-perf-tools | Collection of performance tool builds for use with the Arm Compiler for Linux toolchain. |
| ohpc-arm1-python3-libs | Collection of python3 related library builds for use with the Arm Compiler for Linux toolchain. |
| ohpc-arm1-serial-libs | Collection of serial library builds for use with the Arm Compiler for Linux toolchain. |
| ohpc-autotools | Collection of GNU autotools packages. |
| ohpc-base | Collection of base packages. |
| ohpc-base-compute | Collection of compute node base packages. |
| ohpc-gnu15-io-libs | Collection of IO library builds for use with GNU compiler toolchain. |
| ohpc-gnu15-mpich-io-libs | Collection of IO library builds for use with GNU compiler toolchain and the MPICH runtime. |
| ohpc-gnu15-mpich-parallel-libs | Collection of parallel library builds for use with GNU compiler toolchain and the MPICH runtime. |
| ohpc-gnu15-mpich-perf-tools | Collection of performance tool builds for use with GNU compiler toolchain and the MPICH runtime. |
| ohpc-gnu15-openmpi5-io-libs | Collection of IO library builds for use with GNU compiler toolchain and the OpenMPI runtime. |
| ohpc-gnu15-openmpi5-parallel-libs | Collection of parallel library builds for use with GNU compiler toolchain and the OpenMPI runtime. |
| ohpc-gnu15-openmpi5-perf-tools | Collection of performance tool builds for use with GNU compiler toolchain and the OpenMPI runtime. |
| ohpc-gnu15-parallel-libs | Collection of parallel library builds for use with GNU compiler toolchain. |
| ohpc-gnu15-perf-tools | Collection of performance tool builds for use with GNU compiler toolchain. |
| ohpc-gnu15-python-libs | Collection of python related library builds for use with GNU compiler toolchain. |
| ohpc-gnu15-python3-libs | Collection of python3 related library builds for use with GNU compiler toolchain. |
| ohpc-gnu15-runtimes | Collection of runtimes for use with GNU compiler toolchain. |
| ohpc-gnu15-serial-libs | Collection of serial library builds for use with GNU compiler toolchain. |
| ohpc-slurm-client | Collection of client packages for SLURM. |
| ohpc-slurm-server | Collection of server packages for SLURM. |
| ohpc-warewulf | Collection of base packages for Warewulf provisioning. |
What follows next in this Appendix is a series of tables that summarize the underlying RPM packages available in this OpenHPC release. These packages are organized by groupings based on their general functionality and each table provides information for the specific RPM name, version, brief summary, and the web URL where additional information can be obtained for the component. Note that many of the 3rd party community libraries that are pre-packaged with OpenHPC are built using multiple compiler and MPI families. In these cases, the RPM package name includes delimiters identifying the development environment for which each package build is targeted. Additional information on the OpenHPC package naming scheme is presented in Section 3rd Party Packages. The relevant package groupings and associated references are as follows:
Administrative Tools
Provisioning
Resource Management
Compiler Families
MPI Families / Communication Libraries
Development Tools
Performance Analysis Tools
IO Libraries
Distro Packages
Runtimes
Serial/Threaded Libraries
Parallel Libraries
| RPM Package Name | Version | Info/URL |
|---|---|---|
| conman | 0.3.1 | ConMan: The Console Manager. http://dun.github.io/conman |
| docs | 4.0.0 | OpenHPC documentation. https://github.com/openhpc/ohpc |
| docs | 4.1.0 | OpenHPC documentation. https://github.com/openhpc/ohpc |
| examples | 2.0 | Example source code and templates for use within OpenHPC environment. https://github.com/openhpc/ohpc |
| genders | 1.32 | Static cluster configuration database. https://github.com/chaos/genders |
| hpc-workspace | 1.5.0 | Temporary workspace management. https://github.com/holgerBerger/hpc-workspace |
| lmod-defaults | 2.0 | OpenHPC default login environments. https://github.com/openhpc/ohpc |
| lmod | 9.2 | Lua based Modules (lmod). https://github.com/TACC/Lmod |
| losf | 0.56.0 | A Linux operating system framework for managing HPC clusters. https://github.com/hpcsi/losf |
| nhc | 1.4.3 | LBNL Node Health Check. https://github.com/mej/nhc |
| ohpc-release | 4 | OpenHPC release files. https://github.com/openhpc/ohpc |
| pdsh | 2.36 | Parallel remote shell program. https://github.com/chaos/pdsh |
| prun | 2.2 | Convenience utility for parallel job launch. https://github.com/openhpc/ohpc |
| test-suite | 4.1.0 | Integration test suite for OpenHPC. https://github.com/openhpc/ohpc |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| warewulf | 4.6.5 | A provisioning system for large clusters of bare metal and/or virtual systems. https://github.com/warewulf/warewulf |
| warewulf-ohpc-dracut | 4.6.5 | dracut module for loading a Warewulf image. https://github.com/warewulf/warewulf |
| warewulf-ohpc-sos | 4.6.5 | sos plugin for Warewulf. https://github.com/warewulf/warewulf |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| magpie | 3.2 | Scripts for running Big Data software in HPC environments. https://github.com/LLNL/magpie |
| openpbs-client | 23.06.06 | OpenPBS for a client host. http://www.openpbs.org |
| openpbs-execution | 23.06.06 | OpenPBS for an execution host. http://www.openpbs.org |
| openpbs-server | 23.06.06 | OpenPBS for a server host. http://www.openpbs.org |
| pmix | 4.2.9 | An extended/exascale implementation of PMI. https://pmix.org |
| slurm-contribs | 25.05.7 | Perl tool to print Slurm job state information. https://slurm.schedmd.com |
| slurm-devel | 25.05.7 | Development package for Slurm. https://slurm.schedmd.com |
| slurm-example-configs | 25.05.7 | Example config files for Slurm. https://slurm.schedmd.com |
| slurm-libpmi | 25.05.7 | Slurm's implementation of the pmi libraries. https://slurm.schedmd.com |
| slurm | 25.05.7 | Slurm Workload Manager. https://slurm.schedmd.com |
| slurm-openlava | 25.05.7 | openlava/LSF wrappers for transition from OpenLava/LSF to Slurm. https://slurm.schedmd.com |
| slurm-pam_slurm | 25.05.7 | PAM module for restricting access to compute nodes via Slurm. https://slurm.schedmd.com |
| slurm-perlapi | 25.05.7 | Perl API to Slurm. https://slurm.schedmd.com |
| slurm-sackd | 25.05.7 | Slurm authentication daemon. https://slurm.schedmd.com |
| slurm-slurmctld | 25.05.7 | Slurm controller daemon. https://slurm.schedmd.com |
| slurm-slurmd | 25.05.7 | Slurm compute node daemon. https://slurm.schedmd.com |
| slurm-slurmdbd | 25.05.7 | Slurm database daemon. https://slurm.schedmd.com |
| slurm-sview | 25.05.7 | Graphical user interface to view and modify Slurm state. https://slurm.schedmd.com |
| slurm-torque | 25.05.7 | Torque/PBS wrappers for transition from Torque/PBS to Slurm. https://slurm.schedmd.com |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| gnu15-compilers | 15.2.0 | The GNU C Compiler and Support Files. http://gcc.gnu.org |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| mpich | 5.0.1 | MPICH MPI implementation. http://www.mpich.org |
| openmpi5 | 5.0.10 | A powerful implementation of MPI/SHMEM. http://www.open-mpi.org |
| ucx | 1.20.0 | UCX is a communication library implementing high-performance messaging. http://www.openucx.org |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| EasyBuild | 5.3.0 | Software build and installation framework. https://easybuilders.github.io/easybuild |
| autoconf | 2.71 | A GNU tool for automatically configuring source code. http://www.gnu.org/software/autoconf |
| automake | 1.16.5 | A GNU tool for automatically creating Makefiles. http://www.gnu.org/software/automake |
| cmake | 4.3.1 | CMake is an open-source, cross-platform family of tools designed to build, test and package software. https://cmake.org |
| hwloc | 2.13.0 | Portable Hardware Locality. http://www.open-mpi.org/projects/hwloc |
| libtool | 2.4.6 | The GNU Portable Library Tool. http://www.gnu.org/software/libtool |
| python3-mpi4py | 4.1.1 | Python bindings for the Message Passing Interface (MPI) standard. https://github.com/mpi4py/mpi4py |
| python3-numpy | 2.4.4 | NumPy array processing for numbers, strings, records and objects. https://github.com/numpy/numpy |
| spack | 1.1.1 | HPC software package management. https://github.com/spack/spack |
| valgrind | 3.26.0 | Valgrind Memory Debugger. http://www.valgrind.org |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| dimemas | 5.5.0 | Dimemas tool. https://tools.bsc.es |
| extrae | 5.0.4 | Extrae tool. https://tools.bsc.es |
| imb | 2021.11 | Intel MPI Benchmarks (IMB). https://software.intel.com/en-us/articles/intel-mpi-benchmarks |
| likwid | 5.5.1 | Performance tools for the Linux console. https://github.com/RRZE-HPC/likwid |
| omb | 7.5.2 | OSU Micro-benchmarks. https://mvapich.cse.ohio-state.edu/benchmarks |
| papi | 7.2.0 | Performance Application Programming Interface. http://icl.cs.utk.edu/papi |
| paraver | 4.12.0 | Paraver. https://tools.bsc.es |
| pdtoolkit | 3.25.1 | PDT is a framework for analyzing source code. http://www.cs.uoregon.edu/Research/pdt |
| scalasca | 2.6.2 | Toolset for performance analysis of large-scale parallel applications. http://www.scalasca.org |
| scorep | 9.4 | Scalable Performance Measurement Infrastructure for Parallel Codes. http://www.vi-hps.org/projects/score-p |
| tau | 2.35.1 | Tuning and Analysis Utilities Profiling Package. http://www.cs.uoregon.edu/research/tau/home.php |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| adios2 | 2.12.0 | The Adaptable IO System v2 (ADIOS2). https://adios2.readthedocs.io/en/latest/index.html |
| cubew | 4.9.1 | CUBE Uniform Behavioral Encoding generic presentation writer component. http://www.scalasca.org/software/cube-4.x/download.html |
| hdf5 | 2.1.1 | A general purpose library and file format for storing scientific data. http://www.hdfgroup.org/HDF5 |
| netcdf-cxx | 4.3.1 | C++ Libraries for the Unidata network Common Data Form. http://www.unidata.ucar.edu/software/netcdf |
| netcdf-fortran | 4.6.2 | Fortran Libraries for the Unidata network Common Data Form. http://www.unidata.ucar.edu/software/netcdf |
| netcdf | 4.10.0 | C Libraries for the Unidata network Common Data Form. http://www.unidata.ucar.edu/software/netcdf |
| otf2 | 3.1.1 | Open Trace Format 2 library. http://score-p.org |
| phdf5 | 2.1.1 | A general purpose library and file format for storing scientific data (parallel version). http://www.hdfgroup.org/HDF5 |
| pnetcdf | 1.14.1 | A Parallel NetCDF library (PnetCDF). http://cucis.ece.northwestern.edu/projects/PnetCDF |
| sionlib | 1.7.7 | Scalable I/O Library for Parallel Access to Task-Local Files. https://apps.fz-juelich.de/jsc/sionlib/docu/index.html |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| python3-Cython | 3.2.4 | The Cython compiler for writing C extensions for the Python language. http://www.cython.org |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| charliecloud | 0.44 | Lightweight user-defined software stacks for high-performance computing. https://charliecloud.io |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| R | 4.5.3 | R is a language and environment for statistical computing and graphics (S-Plus like). http://www.r-project.org |
| cubelib | 4.9.1 | CUBE Uniform Behavioral Encoding generic presentation library component. http://www.scalasca.org/software/cube-4.x/download.html |
| gotcha | 1.0.8 | A library for wrapping function calls to shared libraries. https://github.com/llnl/gotcha |
| gsl | 2.8 | GNU Scientific Library (GSL). http://www.gnu.org/software/gsl |
| metis | 5.1.0 | Serial Graph Partitioning and Fill-reducing Matrix Ordering. http://glaros.dtc.umn.edu/gkhome/metis/metis/overview |
| opari2 | 2.0.9 | An OpenMP runtime performance measurement instrumenter. https://www.vi-hps.org/projects/score-p |
| openblas | 0.3.32 | An optimized BLAS library based on GotoBLAS2. http://www.openblas.net |
| plasma | 25.5.27 | Parallel Linear Algebra Software for Multicore Architectures. https://github.com/icl-utk-edu/plasma |
| scotch | 7.0.11 | Graph, mesh and hypergraph partitioning library. https://gitlab.inria.fr/scotch/scotch |
| superlu | 7.0.1 | A general purpose library for the direct solution of linear equations. http://crd.lbl.gov/~xiaoye/SuperLU |
| RPM Package Name | Version | Info/URL |
|---|---|---|
| boost | 1.90.0 | Free peer-reviewed portable C++ source libraries. http://www.boost.org |
| fftw | 3.3.10 | A Fast Fourier Transform library. http://www.fftw.org |
| hypre | 3.1.0 | Scalable algorithms for solving linear systems of equations. http://www.llnl.gov/casc/hypre |
| mfem | 4.9 | Lightweight, general, scalable C++ library for finite element methods. http://mfem.org |
| mumps | 5.8.2 | A MUltifrontal Massively Parallel Sparse direct Solver. https://mumps-solver.org |
| petsc | 3.25.0 | Portable Extensible Toolkit for Scientific Computation. http://www.mcs.anl.gov/petsc |
| ptscotch | 7.0.11 | Graph, mesh and hypergraph partitioning library using MPI. https://gitlab.inria.fr/scotch/scotch |
| scalapack | 2.2.3 | A subset of LAPACK routines redesigned for heterogeneous computing. https://netlib.org/scalapack |
| slepc | 3.25.0 | A library for solving large scale sparse eigenvalue problems. http://slepc.upv.es |
| superlu_dist | 9.2.1 | A general purpose library for the direct solution of linear equations. https://portal.nersc.gov/project/sparse/superlu |
| trilinos | 17.0.0 | A collection of libraries of numerical algorithms. https://trilinos.org |
All of the RPMs provided via the OpenHPC repository are signed with a GPG signature. By default, the underlying package managers will verify these signatures during installation to ensure that packages have not been altered. The RPMs can also be manually verified and the public signing key fingerprint for the latest repository is shown below:
Fingerprint: 5E33 3CA3 A1BD BBC9 DF14 9D74 09AD FAE4 **D722A692**
The following command can be used to verify an RPM once it has been
downloaded locally by confirming if the package is signed, and if so,
indicating which key was used to sign it. The example below highlights
usage for a local copy of the docs-ohpc package and
illustrates how the key ID matches the fingerprint
shown above.
rpm --checksig -v ohpc-release-4-1.el10.x86_64.rpm
ohpc-release-4-1.el10.x86_64.rpm:
Header V3 RSA/SHA256 Signature, key ID d722a692: OK
Header SHA256 digest: OK
Header SHA1 digest: OK
Payload SHA256 digest: OK
V3 RSA/SHA256 Signature, key ID d722a692: OK
MD5 digest: OK