An Aspiring Drop-In Replacement for NumPy at Scale

The Foundation for All Legate Libraries

A simple, performant and scalable Jax LLM!

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilizatio…

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry lead…

Optimized primitives for collective multi-GPU communication

A machine learning compiler for GPUs, CPUs, and ML accelerators

An Open Source Machine Learning Framework for Everyone

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

SST Macro Element Library

SST Structural Simulation Toolkit Parallel Discrete Event Core and Services

Kokkos C++ Performance Portability Programming EcoSystem: The Programming Model - Parallel Execution and Memory Abstraction

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

Primary repository for the Trilinos Project

Kokkos C++ Performance Portability Programming EcoSystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

SST Architectural Simulation Components and Libraries

Open Fabric Interfaces

Tutorials for the Kokkos C++ Performance Portability Programming EcoSystem

Ember Communication Patterns