There are 77 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 via OpenCL.
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 batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
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!
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
Learn Julia the hard way!
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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.