A General-purpose Task-parallel Programming System using Modern C++
-
Updated
Oct 6, 2024 - C++
A General-purpose Task-parallel Programming System using Modern C++
高性能并行编程与优化 - 课件
Fast inference engine for Transformer models
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
Lightweight, general, scalable C++ library for finite element methods
SIMD Vector Classes for C++
CUDA Core Compute Libraries
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Programmable CUDA/C++ GPU Graph Analytics
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Next generation FEniCS problem solving environment
oneAPI Math Kernel Library (oneMKL) Interfaces
A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines
RAJA Performance Portability Layer (C++)
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A framework for high-performance medical image processing, neural network inference and visualization
Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python interface new physical equations and solution algorithms can be implemented easily.
GraphIt - A High-Performance Domain Specific Language for Graph Analytics
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
【A simple used C++ threadpool】一个简单好用,性能优异的,跨平台的C++线程池。欢迎 star & fork
Add a description, image, and links to the parallel-computing topic page so that developers can more easily learn about it.
To associate your repository with the parallel-computing topic, visit your repo's landing page and select "manage topics."