Parallel algorithms and data structures for tree-based adaptive mesh refinement (AMR) with arbitrary element shapes.

Simple 2D finite volume code in C++ with Kokkos to prototype/experiment.

The development repository for the deal.II finite element library

A categorized list of C++ resources.

SYCL* Templates for Linear Algebra (SYCL*TLA) - SYCL based CUTLASS implementation for Intel GPUs

The C++ Standard Library for Parallelism and Concurrency

CUDA implementation of a linear bounding volume hierarchy (LBVH).

This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.

Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.

Shamrock Astrophysics code. Documentation : https://shamrock-code.github.io/Shamrock/mkdocs/

The Shamrock Framework, an open-source, multi-GPU hydrodynamics framework for astrophysics. Scales seamlessly from laptops to exascale supercomputers, supporting SPH, AMR, and more.

Abstraction Library for Parallel Kernel Acceleration 🦙

A sparse, linear octree data structure.

Finite volume toolbox in Python

Simple utility to show nVidia GPU memory usage wrt. CUDA device IDs.

NVIDIA curated collection of educational resources related to general purpose GPU programming.

All pdfs of Victor Eijkhout's Art of HPC books and courses

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

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Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

2D finite volume code

📓 Open Standard for Particle-Mesh Data

Free MLOps course from DataTalks.Club

BLAS-like Library Instantiation Software Framework

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

Learn about advanced markdown techniques

N-Ways to Multi-GPU Programming

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.