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ai-science-training-series
TensorFlowFoam
Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm developmentPythonFOAM
In-situ data analyses and machine learning with OpenFOAM and Pythonbalsam
High throughput workflows and automation for HPCdlio_benchmark
An I/O benchmark for deep Learning applicationsALCF_Hands_on_HPC_Workshop
The ALCF hosts a regular simulation, data, and learning workshop to help users scale their applications. This repository contains the examples used in the workshop.CompPerfWorkshop
ALCF Computational Performance Workshopmolan
Data analytics for molecular solids melting pointsactive-learning-md
Active learning workflow developed as a part of the upcoming article "Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide"ALCFBeginnersGuide
llm-workshop
AI4ScienceTutorial
A tutorial for students that surveys basic ML techniques in ipython notebook format.THAPI
A tracing infrastructure for heterogeneous computing applications.user-guides
ALCF Systems User DocumentationGettingStarted
Collection of small examples for running on ALCF resourcesAIaccelerators-SC23-tutorial
AI Accelerators-SC23-tutorial RepositoryHPC-Patterns
Provide examples on how to use GPU with Parallel Programing Paradigm (MPI, OpenMP, SYCL)AIaccelerators-SC22-tutorial
AI Accelerator Tutorial SC22alcl
Argonne Leadership Computing Facility OpenCL tutorialalcf-nccl-tests
NCCL tests for ALCF machinesalcf4_benchmarks
Repository for ALCF-4 Benchmarks as defined in the RFP.copper
scalable data movement in Exascale SupercomputersThetaGPU-Docs
Staging area for Theta-GPU documentationSimAI-Bench
ALCF benchmarks for coupled simulation and AI workflowssummer-school-2024
pbs_utils
scripts for working with PBSSyclCPLX
Sycl complex library header-onlyai-testbed-userdocs
AI-Testbed at ALCF provides an infrastructure for the next-generation of AI-accelerator machines.nexus
Scripts and tools for IRI applications at ALCFcheckpoint_restart
This repo is for providing instructions on how to do checkpoint/restart at large scale simulations on exasscale machinesdlSoftwareTests
Simple tests to verify ML/DL environments on ALCF HPC resources are working correctly.DL-Profiling-Examples
Example scripts and profiling demonstrations for deep learning modelsTHAPI-spack
This is a spack environment for THAPI.AIAccelerators-AE
AD/AE repo for the paper on AI Accelerator EvaluationIntroSYCLtutorial
dlio_ml_workloads
Reference workloads for DLIO BenchmarkCCS
CCS (C Configuration Space and Tuning Library) aims at providing interoperability between autotuning frameworks and applications with auto-tuning needs. It does so by providing a C interface to describe autotuning problems and autotuners.autoperf
Core autoperf sourcepolaris-userdocs
Temporary documentation for Polaris resourceLLM-Inference-Bench
LLM-Inference-Benchconda_install_scripts
Some install scripts for miniconda that include tensorflow and keras in the intel channel.mlprof
Profiling tools for performance studies of competing ML frameworks on HPC systemscontainer-registry
Contains images and recipes to run container images on Theta, ThetaGPU, Polaris and Sunspotdl_scaling
Scaling Deep learning on HPC systemsalcf-osu-benchmarks
OSU benchmarks on ALCF systemsscalable_conda_env
This is to show how to setup conda environment for large scale runsstorage
storage benchmarksinference-endpoints
This is a repository with examples to run inference endpoints on various ALCF clusterstc-ipu
Implementation of triangle counting for Graphcore IPUbalsam-serial-mode-profiling
Contains application tools and scripts for measuring balsam performance in serial mode.theta_conda_channel
Files for building anaconda cloud packages for Theta.docker_image_recipes
A repository for image recipe files useful for ALCF systems.babeltrace2-ruby
Babeltrace2 Ruby bindingsALCF-AI-Testbed
cast-to-yaml
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