1095 Open source projects that are alternatives of or similar to Pycuda

OpenCL integration for Python, plus shiny features

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

Concurrent CPU-GPU Programming using Task Models

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

High-performance Bayesian Data Analysis on the GPU in Clojure

ArrayFire: a general purpose GPU library.

Fast Clojure Matrix Library

Deep.Net machine learning framework for F#

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

stdgpu: Efficient STL-like Data Structures on the GPU

Thin C++-flavored wrappers for the CUDA Runtime API

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

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

software.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html

Fork of CUDA GPU memtest 👓

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

List of Deep Learning Cloud Providers

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

Efficient Haskell Arrays featuring Parallel computation

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

A collection of GICP-based fast point cloud registration algorithms

OptiX Path Tracer

🗃 Array manipulation library for PHP, called Arrayy!

CUDA programming in Julia.

ILGPU JIT Compiler for high-performance .Net GPU programs

A fast Clojure Tensor & Deep Learning library

This is a list of useful libraries and resources for CUDA development.

GPGPU Javascript library 🐸

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

GPU-accelerated micromagnetic simulator

The C++ parallel algorithms library.

H2Oai GPU Edition

Some basic programming tutorials

Particle-in-Cell Simulations for the Exascale Era ✨

Open3D: A Modern Library for 3D Data Processing

High-performance Vision library in Python. Scale your research, not boilerplate.

Python bindings for ArrayFire: A general purpose GPU library.

C++ library for solving large sparse linear systems with algebraic multigrid method

cuDF - GPU DataFrame Library

Vulkan compute for people

NumPy & SciPy for GPU

Lighthouse 2 framework for real-time ray tracing

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

LuxCore source repository

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Rust wrapper for ArrayFire

A flexible framework of neural networks for deep learning

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

How fast can we brute force a 64-bit comparison?

Rusty wrapper for the CUDA Driver API

Library for faster pinned CPU <-> GPU transfer in Pytorch

High-Performance Graph Primitives on GPUs

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

Python interface to GPU-powered libraries

Fast Neural Machine Translation in C++

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

GraphVite: A General and High-performance Graph Embedding System

Blitz++ Multi-Dimensional Array Library for C++