Popular GitHub Repositories for High Performance Computing

Build, Manage and Deploy AI/ML Systems

Training and serving large-scale neural networks with auto parallelization.

A list of awesome compiler projects and papers for tensor computation and deep learning.

Acceleration package for neural networks on multi-core CPUs

(WIP) A small but powerful, homemade PyTorch from scratch.

Surrogate modeling and optimization for scientific machine learning (SciML)

Scaling Data-Constrained Language Models

TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.

Automatic optimization and parallelization for Scientific Machine Learning (SciML)

这个项目提供了一个在 Kubernetes 中运行 Slurm 的框架。

Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.

Machine Learning Compiler Road Map

Large-scale Auto-Distributed Training/Inference Unified Framework | Memory-Compute-Control Decoupled Architecture | Multi-language SDK & Heterogeneous Hardware Support

FPGA acceleration of arbitrary precision floating point computations.

Singularity recipe for AlphaFold

TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.

A High Performance Library for Time-Series Featurization.

This repository provides documentation for running the Active Learning workflow for fitting Gaussian Approximation Potentials.

Density Functional Theory calculation using OpenMX.

cuda&cublas&cudnn wrapper for Rust