639 Open source projects that are alternatives of or similar to learn-gpgpu

Efficient Haskell Arrays featuring Parallel computation

Khronos OpenCL-Headers

Distributed and Parallel Computing Framework with / for Python

R package for statistical tools with big matrices stored on disk.

Rich Domain Model for JVM Bytecode and Framework to interpret and transpile it.

NextGenMap is a flexible highly sensitive short read mapping tool that handles much higher mismatch rates than comparable algorithms while still outperforming them in terms of runtime. This allows analysing large scale datasets even with increased SNP rates or higher error rates (e.g. caused by specialized experimental protocols) and avoids biases caused by highly variable regions in the genome.

Massively Parallel Multiview Stereopsis by Surface Normal Diffusion

A micro server framework, support coroutine, and parallel-computing, used for building flatbuffers/thrift/protobuf/http protocol service.

A High-performance Timing Analysis Tool for VLSI Systems

A curated list of awesome parallel computing resources

An open-source solver tool for the Maxwell-Bloch equations.

Clspv is a prototype compiler for a subset of OpenCL C to Vulkan compute shaders

Parallel High-Performance Components for Rhino/Grasshopper

PetIBM - toolbox and applications of the immersed-boundary method on distributed-memory architectures

GPU Performance API for AMD GPUs

Computing with Python functions.

A code generator for array-based code on CPUs and GPUs

Hardware-accelerated DNN model inference ROS2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

An implementation of MTCNN Face detector using OpenCV's DNN module

SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. This is a mirror of current releases, and development will move here eventually. Pull requests are welcome for bug fixes and minor changes.

Topology optimization using PETSc: a Python wrapper and extended functionality

A Neural Network Toolkit.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Distributed process pool for Python

Monte Carlo eXtreme for OpenCL (MCXCL)

OpenCL-backed GPU Arrays

Distributed Keras Engine, Make Keras faster with only one line of code.

A python script that takes an input MP3/FLAC and outputs an acapella/background noise stripped WAV using the power of NVIDIA's RTX Voice

RXMD : Linear-Scaling Parallel Reactive Molecular Dynamics Simulation Engine

MadPy Dask talk materials

An open-source library of algorithms to analyse time series in GPU and CPU.

A lattice Boltzmann code for complex fluids

Monero AMD (OpenCL) miner

Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19

Next generation FEniCS problem solving environment

This project's main goal is to generate and visualize terrain built using voxels. It was achieved using different approaches and computing technologies just for the sake of performance and implementation comparison.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python interface new physical equations and solution algorithms can be implemented easily.

Optimizing Mobile Deep Learning on ARM GPU with TVM

Cell centred code for explicit solid dynamics in OpenFOAM

OpenCL binding for Erlang

Constrained Large Deformation Diffeomorphic Image Registration (CLAIRE)

Shape Aware Parallel Mesh Simplification Algorithm

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

Massively parallel FEM code for phase-field for fracture by Dolbow Lab at Duke University

AMD OpenVX Core -- a sub-module of amdovx-modules:

Analysis kit for large-scale structure datasets, the massively parallel way

QUICK: A GPU-enabled ab intio quantum chemistry software package

Real-time vehicle telematics analytics demo using OmniSci

ADDA - light scattering simulator based on the discrete dipole approximation

A message-passing distributed computing framework for node.js

R package to provide foreach looping construct

Code for testing the native float16 matrix multiplication performance on Tesla P100 and V100 GPU based on cublasHgemm

Bigmachine is a library for self-managing serverless computing in Go

Learn OpenCL step by step.

Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

Folding@home GPU benchmark

Physically based renderer and simulation engine for real-time applications.