Scientific Software
Updated 6 months ago

Triumvirate — Peer-reviewed • Rank 9.9 • Science 98%

Triumvirate: A Python/C++ package for three-point clustering measurements - Published in JOSS (2023)

Updated 6 months ago

arbor • Rank 17.2 • Science 54%

The Arbor multi-compartment neural network simulation library.

Updated 6 months ago

alpaka • Rank 11.1 • Science 59%

Abstraction Library for Parallel Kernel Acceleration :llama:

Updated 6 months ago

celeritas • Rank 9.1 • Science 59%

Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.

Updated 6 months ago

pika • Rank 8.3 • Science 59%

pika is a C++ tasking library built on std::execution with fibers, CUDA, HIP, and MPI support.

Updated 6 months ago

intelliperf • Science 67%

Automated bottleneck detection and solution orchestration

Updated 6 months ago

cudawrappers • Science 54%

C++ wrapper for the Nvidia/HIP C libraries (e.g. CUDA driver, nvrtc, hiprtc, cuFFT, hipFFT, etc.)

Updated 6 months ago

kernel_float • Science 26%

CUDA/HIP header-only library for low-precision (16 bit, 8 bit) and vectorized GPU kernel development

Updated 6 months ago

software-engineer • Science 44%

A curated learning repository focused on High-Performance Computing (HPC) — covering fundamentals to advanced topics in CUDA, MPI, C++, and Python-C++ interoperability.

Scientific Software
Updated 6 months ago

Ginkgo — Peer-reviewed • Science 100%

Ginkgo: A high performance numerical linear algebra library - Published in JOSS (2020)

Updated 6 months ago

simulateqcd • Science 49%

SIMULATeQCD is a multi-GPU Lattice QCD framework that makes it easy for physicists to implement lattice QCD formulas while still providing competitive performance.

Updated 6 months ago

kmm • Science 26%

KMM: parallel dataflow scheduler and efficient memory management for multi-GPU platforms

Scientific Software
Updated 6 months ago

PAAT — Peer-reviewed • Science 93%

PAAT: Physical Activity Analysis Toolbox for the analysis of hip-worn raw accelerometer data in Python - Published in JOSS (2025)

Mathematics Artificial Intelligence and Machine Learning
Scientific Software · Peer-reviewed
Updated 5 months ago

https://github.com/afd-illinois/kharma • Science 26%

Kokkos-based High-Accuracy Relativistic Magnetohydrodynamics with AMR