998 Open source projects that are alternatives of or similar to gpubootcamp

sparse communication library

Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)

Kernel Tuning Toolkit

Simple 2d finite volume solver for Euler equations using c++ kokkos library

This is a set of simple programs that can be used to explore the features of a parallel platform.

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

Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:

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

Open source repository for QuickPIC

Fast inference engine for OpenNMT models

library of C++ functions that support applications of Stan in Pharmacometrics

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

A stream processing framework for high-throughput applications.

continuous energy monte carlo neutron transport in general geometries on GPUs

BriefMatch real-time GPU optical flow

A domain-specific language and compiler for image processing

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

Script to remotely check GPU servers for free GPUs

Highly parallel DBSCAN (HPDBSCAN)

A fast Clojure Tensor & Deep Learning library

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

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

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

The C++ parallel algorithms library.

cuDF - GPU DataFrame Library

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

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

ILGPU JIT Compiler for high-performance .Net GPU programs

Open MPI main development repository

A C++ GPU Computing Library for OpenCL

Python client for OmniSci GPU-accelerated SQL engine and analytics platform

The Azure HPC On-Demand Platform provides an HPC Cluster Ready solution

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.

Distributed parallelization of 3D volume mesh adaptation

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

High-Performance Graph Primitives on GPUs

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Python interface to GPU-powered libraries

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

Heavy Peer To Peer: a MPI based benchmark for network diagnostic

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.

Cooperative primitives for CUDA C++.

OptiX Path Tracer

Agenium Scale vectorization library for CPUs and GPUs

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

Numerical linear algebra software package

NumPy & SciPy for GPU

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

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

ThunderSVM: A Fast SVM Library on GPUs and CPUs

A library for high performance deep learning inference on NVIDIA GPUs.

Information about many aspects of high-performance computing. Wiki content moved to ~/docs.

parallel finite element unstructured meshes

An application-focused API for memory management on NUMA & GPU architectures

Achieve peak performance on x86 CPUs and NVIDIA GPUs

Galaxy is an asynchronous parallel visualization ray tracer for performant rendering in distributed computing environments. Galaxy builds upon Intel OSPRay and Intel Embree, including ray queueing and sending logic inspired by TACC GraviT.

Complete implementations from "Algorithms for Modern Hardware"

Waldur MasterMind is a hybrid cloud orchestrator.