There are 87 repositories under hpc topic.
Making large AI models cheaper, faster and more accessible
A Cloud Native Batch System (Project under CNCF)
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
A DSL for data-driven computational pipelines
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
a Productive Parallel Programming Language
Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
SingularityCE is the Community Edition of Singularity, an open source container platform designed to be simple, fast, and secure.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.