Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems

High-performance TensorFlow library for quantitative finance.

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

OpenMC Monte Carlo Code

An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing

DaCe - Data Centric Parallel Programming

A framework for Smoothed Particle Hydrodynamics in Python

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python 🚀

A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran

HPC Resource Allocation System

A Taichi-powered high-performance numerical simulator for multiscale and multifield geophysical problems

🐍 Snakefiles for common RNA-seq data analysis workflows (STAR and Kallisto).

A Data-Centric Compiler for Machine Learning

Quickly generate, start and analyze benchmarks for molecular dynamics simulations.

A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.

Automated Parallelization System and Infrastructure for Multiple Ecosystems