High-performance Flux Transport
-
Updated
May 14, 2024 - Fortran
High-performance Flux Transport
An efficient C++17 GPU numerical computing library with Python-like syntax
Aardvark.Rendering is a high-performance, dependency-aware rendering engine. It is part of the open-source Aardvark Platform for visual computing, real-time graphics, and visualization.
Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
A Hybrid Fidelity Stall-Aware Simulation Framework for GPGPUs
Community packages of John the Ripper, the auditing tool and advanced offline password cracker (Docker images, Windows PortableApp, Mac OS, Flatpak, and Ubuntu SNAP packages)
GPU Mersenne primality test.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Insanely fast Java / GPU solver for the N-Queens Problem.
A .NET library to run C# code in parallel on the GPU through DX12, D2D1, and dynamically generated HLSL compute and pixel shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀
Vulkan, OptiX and CUDA Interoperation Modular Rendering Library and Framework for PC/Linux/Android
Fast Clojure Matrix Library
The OpenFOAM Ginkgo Layer
Add a description, image, and links to the gpgpu topic page so that developers can more easily learn about it.
To associate your repository with the gpgpu topic, visit your repo's landing page and select "manage topics."