Build, Manage and Deploy AI/ML 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.

A personal research and development (R&D) lab that facilitates the sharing of knowledge.

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

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

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

HPC Resource Allocation System

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

PSyclone is a source-to-source Fortran compiler designed to programmatically optimise, parallelise and instrument HPC applications via user-provided transformation scripts.

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator integration and latent-space acceleration. Built with JAX.

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