1213 Open source projects that are alternatives of or similar to Mixbench

A Neural Network Toolkit.

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

OpenCL integration for Python, plus shiny features

ArrayFire: a general purpose GPU library.

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

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

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Rust wrapper for ArrayFire

High-performance Bayesian Data Analysis on the GPU in Clojure

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

Python bindings for ArrayFire: A general purpose GPU library.

💥💻💥 A data-parallel functional programming language

Fast Clojure Matrix Library

A domain-specific language and compiler for image processing

ILGPU JIT Compiler for high-performance .Net GPU programs

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

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

STREAM, for lots of devices written in many programming models

LuxCore source repository

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

A flexible framework of neural networks for deep learning

The Hacker's Machine Learning Engine

Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices

OpenCL 1.2 implementation for Tensorflow

Fast Neural Machine Translation in C++

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

Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

ThunderGBM: Fast GBDTs and Random Forests on GPUs

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

Tuned OpenCL BLAS

High-Performance Graph Primitives on GPUs

CPU-X is a Free software that gathers information on CPU, motherboard and more

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

Implementation of a few sorting algorithms in OpenCL

Cooperative primitives for CUDA C++.

Python interface to GPU-powered libraries

GraphVite: A General and High-performance Graph Embedding System

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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

Kernel Tuning Toolkit

NumPy & SciPy for GPU

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.

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

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.

Concurrent CPU-GPU Programming using Task Models

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

GPU Accelerated t-SNE for CUDA with Python bindings

Gradient Boosting powered by GPU(NVIDIA CUDA)

CUDA integration for Python, plus shiny features

AutoDock for GPUs and other accelerators

A C++ GPU Computing Library for OpenCL

Some CUDA design patterns and a bit of template magic for CUDA

Multi-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).

Stream Processing with OCaml

A community run, 5-day PyTorch Deep Learning Bootcamp

OptiX Path Tracer

Julia wrapper for CUDA runtime API

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

ThunderSVM: A Fast SVM Library on GPUs and CPUs