Awesome Open Source

Programming Languages

Search results for gpgpu gpu computing

gpu-computing x

28 search results found

Fluidx3d ⭐ 2,918

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.

Nyuziprocessor ⭐ 1,863

GPGPU microprocessor architecture

Kompute ⭐ 1,418

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

The write-once-run-anywhere GPGPU library for Rust

Arraymancer ⭐ 1,177

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

An efficient C++17 GPU numerical computing library with Python-like syntax

Tornadovm ⭐ 1,054

TornadoVM: A practical and efficient heterogeneous programming framework for managed languages

Neanderthal ⭐ 1,034

Fast Clojure Matrix Library

Adaptivecpp ⭐ 1,010

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!

stdgpu: Efficient STL-like Data Structures on the GPU

Cuda Api Wrappers ⭐ 692

Thin, unified, C++-flavored wrappers for the CUDA APIs

Vulkan compute for people

Open-Source CUDA/OpenCL Speed Of Light Ray-tracer

Cuda By Example Source Code For The Book S Examples ⭐ 232

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

R interface to use GPU's

GPU Mersenne primality test.

Opencl Benchmark ⭐ 81

A small OpenCL benchmark program to measure peak GPU/CPU performance.

Cekirdekler ⭐ 81

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

Parallelreductionsbenchmark ⭐ 58

Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!

A real-time computer vision engine implemented on top of Vulkan API.

Cudafy.net ⭐ 34

CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.

Learn Gpgpu ⭐ 29

Algorithms implemented in CUDA + resources about GPGPU

qCUDA: GPGPU Virtualization at a New API Remoting Method with Para-virtualization

Vulkan Compute Example ⭐ 19

Simple example of using Vulkan for GPGPU computing

An open-source generalized sparse linear algebra framework with vendor-agnostic GPUs accelerated computations

Uvm Eval ⭐ 11

This serves as a repository for reproducibility of the SC21 paper "In-Depth Analyses of Unified Virtual Memory System for GPU Accelerated Computing," as well as several components of the IPDPS21 paper "Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis."

Gpu Accelerated Guppy Basecalling ⭐ 10

GPU-accelerated guppy basecalling and demultiplexing on Linux

Cuda Toolkit ⭐ 5

🧶🌙 𝗖𝗨𝗗𝗔 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗳𝗼𝗿 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀

1-28 of 28 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.