Parallel Computing
Showing 36 of 186 projects
A refreshingly simple, data-driven game engine built in Rust, offering a complete 2D and 3D feature set.
A prototype web browser engine written in Rust, designed for parallel processing and embedding in applications.
A scalable, portable, and distributed gradient boosting library for efficient machine learning across multiple languages and platforms.
A C++ parallel computing and asynchronous networking framework for building high-performance, high-concurrency backend services.
A lightweight data-parallelism library for Rust that makes it easy to convert sequential computations into parallel ones.
A fast, industrial-strength, lock-free concurrent queue for C++11 supporting multi-producer and multi-consumer patterns.
A fast, expressive, and header-only C++ library for building task-parallel programs with static, dynamic, and conditional task graphs.
A drop-in replacement for pandas that scales data analysis workflows to use all CPU cores and handle out-of-memory datasets.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
A simple C++11 thread pool implementation for parallel task execution in C++ applications.
A data-oriented and data-driven game engine written in Rust, designed for extreme multithreading and clean architecture.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
A cryptographic hash function that is significantly faster than SHA-256, highly parallelizable, and serves as a PRF, MAC, KDF, and XOF.
A comprehensive suite of modern concurrency abstractions and thread-safe utilities for Ruby, inspired by Erlang, Clojure, and Java.
A library of optimized communication primitives for multi-GPU and multi-node collective operations.
A C++ parallel algorithms library that enables high-performance computing on GPUs and multicore CPUs with a productivity-focused interface.
A general-purpose tensor library for parallel computing across CPUs, GPUs, and hardware accelerators.
A JAX implementation of OpenAI's Whisper model offering up to 70x faster transcription on TPUs.
Computing with Python functions.
An open-source cluster resource management and job scheduling system for Linux-based high-performance computing.
A Python package for working with labeled multi-dimensional arrays, inspired by pandas and tailored for scientific data.
A fast parallel implementation of the Connectionist Temporal Classification (CTC) loss function for CPU and GPU.
A high-performance R package for fast data manipulation of large datasets, extending data.frame with concise syntax and memory efficiency.
A library that simplifies using web workers and worker threads across Node.js, browsers, and Electron with a uniform API.
A family of header-only C++ hashmap and btree containers offering drop-in replacements for std::unordered_map/std::map with superior speed and memory efficiency.
An open-source library for high-performance subdivision surface evaluation on CPU and GPU, matching Pixar's Renderman precision.
A fast, lightweight, modern, and easy-to-use C++17/20/23 thread pool library for high-performance parallel computing.
High-performance C++ library for multiphysics and multibody dynamics simulations, including rigid/flexible bodies, granular dynamics, and fluid-solid interaction.
A compiler for a C-based SPMD language that generates high-performance SIMD code for CPUs and GPUs.
A modern C++ concurrency library providing tasks, executors, timers, and C++20 coroutines for writing highly concurrent applications.
A fast, non-deadlocking parallel object cache for iOS, tvOS, watchOS, and macOS, designed to persist expensive-to-reproduce temporary objects.
A C++ programming model for writing performance-portable applications targeting all major HPC platforms.
A Python package that automatically accelerates pandas and Modin DataFrame apply operations by choosing the fastest available method.
An open-source implementation of the Message Passing Interface (MPI) specification for high-performance computing.
A parallel Entity-Component System (ECS) library for Rust, designed for high flexibility and performance.
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