256 Open source projects that are alternatives of or similar to dlprimitives

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Algorithms implemented in CUDA + resources about GPGPU

CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.

AutoDock for GPUs and other accelerators

Blender Integration for LuxCore

ClojureCL is a Clojure library for parallel computations with OpenCL.

GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators

Experimental implementation of OpenCL on Vulkan

LuxCore source repository

A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.

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

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).

GPU Mersenne primality test.

Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

Fast Clojure Matrix Library

High-performance Bayesian Data Analysis on the GPU in Clojure

A Python Library for Genetic Algorithm on OpenCL

A framework for GPU based high-performance medical image processing and visualization

High Performance Computing Strategies for Boundary Value Problems

2nd order Godunov solver for 2d Euler equations written in CUDA Fortran and stdpar (standard paralelism)

Generating OpenCL code using Swift and Grand Central Dispatch's OpenCL integration with Xcode. A direct reimplementation of the source code from the book 'OpenCL in Action' by Matthew Scarpino

A simple brute forcer written in GO for SHA1, SHA256, SHA512, MD5 and bcrypt

OpenCL HLS based CNN Accelerator on Intel DE10 Nano FPGA.

A Quasi-Monte-Carlo Integrator Library with CUDA Support

GPU Framework for Radio Astronomical Image Synthesis

A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.

3D renderer built in C++/OpenCL

Beatmup: image and signal processing library

Memory consistency modelling using Alloy

Automation tool, visit our discord channel if you have anything to ask

Monte Carlo eXtreme for OpenCL (MCXCL)

Partial implementation of NVIDIA® cuDNN API for Coriander, OpenCL 1.2

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

An Ada binding for the OpenCL host API

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

A CUDA implementation of the Tsetlin Machine based on bitwise operators

AnyDSL Runtime Library

Shooting and bouncing rays method for radar cross-section calculations, accelerated with BVH algorithm running on GPU (C++ AMP).

python wrapper for the OpenCL FFT library clFFT

A swift wrapper around OpenCL. Modelled off the cpp wrapper

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

Folding@home GPU benchmark

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

Collection of samples and utilities for using ComputeCpp, Codeplay's SYCL implementation

RandomX OpenCL implementation

A framework for Smoothed Particle Hydrodynamics in Python

Polymorphic helper functions & geometry ops for Houdini VEX / OpenCL

OpenCL Julia bindings

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

An OpenCL backend for TensorStream

Collective Knowledge extension to crowdsource bug detection in OpenCL compilers using CLSmith tool from Imperial College London

CD image processing suite with optimized lossless encoders in C#

oneAPI Deep Neural Network Library (oneDNN)

CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Inviwo - Interactive Visualization Workshop

Massively Parallel Huffman Decoding on GPUs

Simple and fast C++ image processing library with focus on heterogeneous systems

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):