Parallel Processing
Showing 17 of 17 projects
A simple, fast, and user-friendly command-line tool to find files and directories, designed as an alternative to the traditional 'find' command.
A code-searching tool similar to ack, but significantly faster, with parallel search and smart file ignoring.
A Go library providing safer and easier structured concurrency with panic handling, goroutine management, and common concurrency patterns.
A Python library for distributed asynchronous hyperparameter optimization over complex search spaces.
A parallel disk usage analyzer with interactive TUI for fast exploration and deletion of unwanted data.
A fast, parallel disk usage analyzer with an interactive console interface written in Go.
A goroutine pool library for Go that limits parallel processing with a synchronous API.
A parallel S3 and local filesystem execution tool optimized for high-speed object storage operations.
A reliable, scalable backup and restore solution for PostgreSQL databases with parallel processing, encryption, and cloud storage support.
A distributed computation system written in Go for parallel and cluster processing, similar to Hadoop MapReduce and Spark.
A .NET library to run C# code in parallel on the GPU through DX12 and D2D1, generating HLSL shaders dynamically.
A Java library for easy, reliable background job processing with persistent storage, using Java 8 lambdas.
A Python package that automatically accelerates pandas and Modin DataFrame apply operations by choosing the fastest available method.
A JavaScript library for creating and managing pools of workers to offload CPU-intensive tasks in Node.js and browsers.
A Java library that extends the Stream API with convenient methods, better interoperability, and enhanced performance.
A minimalistic, high-performance goroutine worker pool library for Go that elegantly manages concurrent tasks with automatic scaling.
A parallel bulk data loader that transfers data between various storages, databases, NoSQL, and cloud services via plugins.
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