691 Open source projects that are alternatives of or similar to Cudart.jl

Concurrent CPU-GPU Programming using Task Models

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Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

High-Performance Multiple-Backend Renderer Based on LuisaCompute

Fast Neural Machine Translation in C++

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

GPU Accelerated t-SNE for CUDA with Python bindings

Python bindings for ArrayFire: A general purpose GPU library.

CUDA integration for Python, plus shiny features

A flexible framework of neural networks for deep learning

Lightning fast & tiny C++/CUDA neural network framework

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

Script to remotely check GPU servers for free GPUs

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

ArrayFire: a general purpose GPU library.

ILGPU JIT Compiler for high-performance .Net GPU programs

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Rust wrapper for ArrayFire

stdgpu: Efficient STL-like Data Structures on the GPU

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

NumPy & SciPy for GPU

OptiX Path Tracer

GraphVite: A General and High-performance Graph Embedding System

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

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

an implementation of parallel linear BVH (LBVH) on GPU

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

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

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)

PopSift is an implementation of the SIFT algorithm in CUDA.

An extensible HPC framework for CUDA, OpenCL and native CPU.

continuous energy monte carlo neutron transport in general geometries on GPUs

The C++ parallel algorithms library.

A collection of GICP-based fast point cloud registration algorithms

High-performance Bayesian Data Analysis on the GPU in Clojure

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

CUDA programming in Julia.

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

cuDF - GPU DataFrame Library

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

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.

Rusty wrapper for the CUDA Driver API

Lighthouse 2 framework for real-time ray tracing

BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

ThunderGBM: Fast GBDTs and Random Forests on GPUs

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

High-Performance Graph Primitives on GPUs

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

Fast Clojure Matrix Library

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

Cooperative primitives for CUDA C++.

Python interface to GPU-powered libraries

Fork of CUDA GPU memtest 👓

GPU Fluid Simulation with Volumetric Rendering

Open3D: A Modern Library for 3D Data Processing

OpenCL integration for Python, plus shiny features

Experiments with CUDA and Rust

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