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Frontier (OLCF)

The Frontier cluster (see: Crusher) is located at OLCF. Each node contains 4 AMD MI250X GPUs, each with 2 Graphics Compute Dies (GCDs) for a total of 8 GCDs per node. You can think of the 8 GCDs as 8 separate GPUs, each having 64 GB of high-bandwidth memory (HBM2E).

Introduction

If you are new to this system, please see the following resources:

  • Crusher user guide
  • Batch system: Slurm
  • Production directories:
    • $PROJWORK/$proj/: shared with all members of a project, purged every 90 days (recommended)
    • $MEMBERWORK/$proj/: single user, purged every 90 days (usually smaller quota, 50TB default quota)
    • $WORLDWORK/$proj/: shared with all users, purged every 90 days (50TB default quota)
    • Note that the $HOME directory is mounted as read-only on compute nodes. That means you cannot run in your $HOME. It's default quota is 50GB.

Note: the Orion lustre filesystem on Frontier and the older Alpine GPFS filesystem on Summit are not mounted on each others machines. Use Globus to transfer data between them if needed.

Installation

Use the following commands to download the WarpX source code and switch to the correct branch:

git clone https://github.com/ECP-WarpX/WarpX.git $HOME/src/warpx

We use the following modules and environments on the system ($HOME/frontier_warpx.profile).

../../../../Tools/machines/frontier-olcf/frontier_warpx.profile.example

We recommend to store the above lines in a file, such as $HOME/frontier_warpx.profile, and load it into your shell after a login:

source $HOME/frontier_warpx.profile

Then, cd into the directory $HOME/src/warpx and use the following commands to compile:

cd $HOME/src/warpx
rm -rf build

cmake -S . -B build -DWarpX_COMPUTE=HIP
cmake --build build -j 32

The general cmake compile-time options <building-cmake> apply as usual.

That's it! A 3D WarpX executable is now in build/bin/ and can be run <running-cpp-frontier> with a 3D example inputs file <usage-examples>. Most people execute the binary directly or copy it out to a location in $PROJWORK/$proj/.

Running

MI250X GPUs (2x64 GB)

After requesting an interactive node with the getNode alias above, run a simulation like this, here using 8 MPI ranks and a single node:

runNode ./warpx inputs

Or in non-interactive runs:

../../../../Tools/machines/frontier-olcf/submit.sh

Post-Processing

For post-processing, most users use Python via OLCFs's Jupyter service (Docs).

Please follow the same guidance as for OLCF Summit post-processing <post-processing-summit>.

Known System Issues

Warning

May 16th, 2022 (OLCFHELP-6888): There is a caching bug in Libfabric that causes WarpX simulations to occasionally hang on Frontier on more than 1 node.

As a work-around, please export the following environment variable in your job scripts until the issue is fixed:

#export FI_MR_CACHE_MAX_COUNT=0  # libfabric disable caching
# or, less invasive:
export FI_MR_CACHE_MONITOR=memhooks  # alternative cache monitor

Warning

Sep 2nd, 2022 (OLCFDEV-1079): rocFFT in ROCm 5.1+ tries to write to a cache in the home area by default. This does not scale, disable it via:

export ROCFFT_RTC_CACHE_PATH=/dev/null

Warning

January, 2023 (OLCFDEV-1284, AMD Ticket: ORNLA-130): We discovered a regression in AMD ROCm, leading to 2x slower current deposition (and other slowdowns) in ROCm 5.3 and 5.4. Reported to AMD and fixed for the next release of ROCm.

Stay with the ROCm 5.2 module to avoid.