165 Open source projects that are alternatives of or similar to foreach

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

A purely functional library to build distributed and event-driven systems

Massively Parallel Multiview Stereopsis by Surface Normal Diffusion

The Charm++ parallel programming system. Visit https://charmplusplus.org/ for more information.

Parallel Hyperparameter Tuning in Python

Scalable and Sustainable Deep Learning via Randomized Hashing

A curated list of awesome parallel computing resources

Adaptive computational fluid dynamics

Parallel algorithms and data structures for tree-based AMR with arbitrary element shapes.

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

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

Location for the LSF Python wrapper for controlling all things LSF

Light-weight header-only library for parallel function calls and continuations in C++ based on Eric Niebler's talk at CppCon 2019.

Automatic parallelization (lock-free multithreading thread) tool developed by Surparallel Open Source.Pelagia is embedded key value database that implements a small, fast, high-reliability on ANSI C.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Parallel Workflow extension for Rake, runs on multicores, clusters, clouds.

An MPI-based C++ or Python library for easy distributed pipeline processing

Ray Tracing in One Weekend written in Rust

Distributed Keras Engine, Make Keras faster with only one line of code.

Evolutionary algorithm toolbox and framework with high performance for Python

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

Assignments and Quizzes submitted by me.

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.

Mesh-based Monte Carlo (MMC)

🐴 Distribute load on front-end via parallelism

OpenCL integration for Python, plus shiny features

A message-passing distributed computing framework for node.js

Embedded language for high-performance array computations

A JavaScript interpreter for Paws.

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development

📈 Adaptive: parallel active learning of mathematical functions

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

A General-purpose Parallel and Heterogeneous Task Programming System

A Clojure dataframe library that runs on Spark

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

corebench - run your benchmarks against high performance computing servers with many CPU cores

100% Vanilla Javascript Multithreading & Parallel Execution Library

A parallel application binary interface for Fortran 2018 compilers.

A fast and modern CAS for a fast and modern language.

A micro server framework, support coroutine, and parallel-computing, used for building flatbuffers/thrift/protobuf/http protocol service.

Python bindings for MPI

Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture

Efficient Haskell Arrays featuring Parallel computation

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

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

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

CPU Based Rasterizer Engine

Boost SIMD

Parallel Computing with Python

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

Multi-threaded Optimization Toolbox

implement distributed machine learning with Pytorch + OpenMPI

Tools for computation on batch systems

Traveling Salesman Problem Using Parallel Genetic Algorithms

The primary source code repository for PHCpack, a software package to solve polynomial systems with homotopy continuation methods.

Shape Aware Parallel Mesh Simplification Algorithm

Julia Devito inversion.

💎 Feel++: Finite Element Embedded Language and Library in C++

A fast work-stealing queue template in C++