gpu-computing
There are 801 repositories under gpu-computing topic.
bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
CUDA-by-Example-source-code-for-the-book-s-examples-
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.
clvk
Implementation of OpenCL 3.0 on Vulkan
ministark
🏃♂️💨 GPU accelerated STARK prover built on @arkworks-rs
vuh
Vulkan compute for people
JAXFLUIDS
Differentiable Fluid Dynamics Package
Gpufit
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
OpenCL-Wrapper
OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.
Sol-R
Open-Source CUDA/OpenCL Speed Of Light Ray-tracer
fastflow
FastFlow pattern-based parallel programming framework (formerly on sourceforge)
kernel_tuner
Kernel Tuner
WarpFactory
WarpFactory is a numerical toolkit for analyzing warp drive spacetimes.
clojurecl
ClojureCL is a Clojure library for parallel computations with OpenCL.
MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
gpu-benches
collection of benchmarks to measure basic GPU capabilities
prysm
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
Opt
Opt DSL
gpuR
R interface to use GPU's
netsaur
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
PyMFEM
Python wrapper for MFEM
Tensile
Stretching GPU performance for GEMMs and tensor contractions.
PySNN
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
CaNS
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
beatmup
Beatmup: image and signal processing library
OpenCL-examples
Simple OpenCL examples for exploiting GPU computing
akari_render
High Performance CPU/GPU Physically Based Renderer in Rust
numpower
PHP extension for efficient scientific computing and array manipulation with GPU support
pelemay
Pelemay is a native compiler for Elixir, which generates SIMD instructions. It has a plan to generate for GPU code.
clojurecuda
Clojure library for CUDA development
dlprimitives
Deep Learning Primitives and Mini-Framework for OpenCL
GPUClothSimulationInUnity
Trying to replicate what this legend did: https://youtu.be/kCGHXlLR3l8
gpuowl
GPU Mersenne primality test.
OpenCL-Benchmark
A small OpenCL benchmark program to measure peak GPU/CPU performance.
accelerate-llvm
LLVM backend for Accelerate