799 Open source projects that are alternatives of or similar to Quda

Burstcoin C++ CPU and GPU Miner

SDK for GPU accelerated genome assembly and analysis

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

The C++ Standard Library for your entire system.

Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

Simplify HPC and Batch workloads on Azure

DBCSR: Distributed Block Compressed Sparse Row matrix library

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

A Neural Network Toolkit.

Achieve peak performance on x86 CPUs and NVIDIA GPUs

A stream processing framework for high-throughput applications.

Concurrent CPU-GPU Programming using Task Models

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

GPU Fluid Simulation with Volumetric Rendering

an implementation of parallel linear BVH (LBVH) on GPU

Fork of CUDA GPU memtest 👓

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

A domain-specific language and compiler for image processing

PopSift is an implementation of the SIFT algorithm in CUDA.

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python

A fast Clojure Tensor & Deep Learning library

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

oneAPI Math Kernel Library (oneMKL) Interfaces

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

High-performance Bayesian Data Analysis on the GPU in Clojure

ArrayFire: a general purpose GPU library.

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

A community run, 5-day PyTorch Deep Learning Bootcamp

Open3D: A Modern Library for 3D Data Processing

H2Oai GPU Edition

Rusty wrapper for the CUDA Driver API

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

stdgpu: Efficient STL-like Data Structures on the GPU

Rust wrapper for ArrayFire

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

cuDF - GPU DataFrame Library

High-Performance Graph Primitives on GPUs

A flexible framework of neural networks for deep learning

Python interface to GPU-powered libraries

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

Cooperative primitives for CUDA C++.

GraphVite: A General and High-performance Graph Embedding System

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

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

GPU Accelerated t-SNE for CUDA with Python bindings

CUDA integration for Python, plus shiny features

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

OptiX Path Tracer

💥💻💥 A data-parallel functional programming language

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

ILGPU JIT Compiler for high-performance .Net GPU programs

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.

Deep Learning library using GPU(CUDA/cuBLAS)

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

🐜 A CUDA based miner for Monero

Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search

Numerical linear algebra software package

DASH, the C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science