CekirdeklerMulti-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).
Stars: ✭ 76 (-94.37%)
Stdgpustdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (-60.67%)
VuhVulkan compute for people
Stars: ✭ 264 (-80.44%)
DeepnetDeep.Net machine learning framework for F#
Stars: ✭ 99 (-92.67%)
WebclglGPGPU Javascript library 🐸
Stars: ✭ 313 (-76.81%)
Cuda Api WrappersThin C++-flavored wrappers for the CUDA Runtime API
Stars: ✭ 362 (-73.19%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (-74.67%)
MatXAn efficient C++17 GPU numerical computing library with Python-like syntax
Stars: ✭ 418 (-69.04%)
HipsyclImplementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (-72.07%)
GpurR interface to use GPU's
Stars: ✭ 208 (-84.59%)
NeanderthalFast Clojure Matrix Library
Stars: ✭ 927 (-31.33%)
HeteroflowConcurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (-95.78%)
CupochRobotics with GPU computing
Stars: ✭ 225 (-83.33%)
Tf Quant FinanceHigh-performance TensorFlow library for quantitative finance.
Stars: ✭ 2,925 (+116.67%)
OccaJIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal
Stars: ✭ 230 (-82.96%)
ComputeA C++ GPU Computing Library for OpenCL
Stars: ✭ 1,192 (-11.7%)
Jsturbo.js - perform massive parallel computations in your browser with GPGPU.
Stars: ✭ 2,591 (+91.93%)
CUDAfy.NETCUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.
Stars: ✭ 56 (-95.85%)
CARECHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.
Stars: ✭ 22 (-98.37%)
ParenchymaAn extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-94.74%)
ObsidianObsidian Language Repository
Stars: ✭ 38 (-97.19%)
Glove As A Tensorflow Embedding LayerTaking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
Stars: ✭ 85 (-93.7%)
Gpu.jsGPU Accelerated JavaScript
Stars: ✭ 13,427 (+894.59%)
learn-gpgpuAlgorithms implemented in CUDA + resources about GPGPU
Stars: ✭ 37 (-97.26%)
cuda memtestFork of CUDA GPU memtest 👓
Stars: ✭ 68 (-94.96%)
Awesome CudaThis is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (-79.7%)
Terrain Builder🏔 Procedural terrain using Three.js and perlin noise, Now Accelerated by your GPU!
Stars: ✭ 228 (-83.11%)
BohriumAutomatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX
Stars: ✭ 209 (-84.52%)
Arrayfire PythonPython bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (-73.48%)
IlgpuILGPU JIT Compiler for high-performance .Net GPU programs
Stars: ✭ 374 (-72.3%)
gpuowlGPU Mersenne primality test.
Stars: ✭ 77 (-94.3%)
gpuvmemGPU Framework for Radio Astronomical Image Synthesis
Stars: ✭ 27 (-98%)
hipercHigh Performance Computing Strategies for Boundary Value Problems
Stars: ✭ 36 (-97.33%)
PaiResource scheduling and cluster management for AI
Stars: ✭ 2,223 (+64.67%)
komputeGeneral 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.
Stars: ✭ 872 (-35.41%)
gpuhdMassively Parallel Huffman Decoding on GPUs
Stars: ✭ 30 (-97.78%)
rbcudaCUDA bindings for Ruby
Stars: ✭ 57 (-95.78%)
runtimeAnyDSL Runtime Library
Stars: ✭ 17 (-98.74%)
XLearning-GPUqihoo360 xlearning with GPU support; AI on Hadoop
Stars: ✭ 22 (-98.37%)
PycudaCUDA integration for Python, plus shiny features
Stars: ✭ 1,112 (-17.63%)
PicongpuParticle-in-Cell Simulations for the Exascale Era ✨
Stars: ✭ 452 (-66.52%)
JohnJohn the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs
Stars: ✭ 5,656 (+318.96%)
AparapiThe New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
Stars: ✭ 352 (-73.93%)
Vulkan KomputeGeneral purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases.
Stars: ✭ 350 (-74.07%)
Regl CnnDigit recognition with Convolutional Neural Networks in WebGL
Stars: ✭ 490 (-63.7%)
BitcrackerBitCracker is the first open source password cracking tool for memory units encrypted with BitLocker
Stars: ✭ 463 (-65.7%)
ArrayfireArrayFire: a general purpose GPU library.
Stars: ✭ 3,693 (+173.56%)
MetalpetalA GPU accelerated image and video processing framework built on Metal.
Stars: ✭ 907 (-32.81%)
Nvidia libs testTests and benchmarks for cudnn (and in the future, other nvidia libraries)
Stars: ✭ 36 (-97.33%)
Aardvark.renderingThe dependency-aware, high-performance aardvark rendering engine. This repo is part of aardvark - an open-source platform for visual computing, real-time graphics and visualization.
Stars: ✭ 79 (-94.15%)
ArraymancerA 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
Stars: ✭ 793 (-41.26%)
ComputesharpA .NET 5 library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀
Stars: ✭ 982 (-27.26%)
Kubernetes Gpu GuideThis guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
Stars: ✭ 740 (-45.19%)
Optical Flow FilterA real time optical flow algorithm implemented on GPU
Stars: ✭ 146 (-89.19%)
VulkancoreVulkan 1.0 graphics and compute API bindings for .NET Standard
Stars: ✭ 162 (-88%)
Compute RuntimeIntel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver
Stars: ✭ 593 (-56.07%)
GbrainGPU Javascript Library for Machine Learning
Stars: ✭ 48 (-96.44%)