Fast and small Node.js worker_threads and cluster worker pool
-
Updated
May 23, 2024 - JavaScript
Fast and small Node.js worker_threads and cluster worker pool
Analysis framework for exploring, testing, and comparing load balancing strategies
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
The VerCors verification toolset for verifying parallel and concurrent software
Butterfly Backup is a simple command line wrapper of rsync for complex task, written in python.
Knapsack Pro gem splits tests across parallel CI nodes and makes sure that tests run in optimal time
Run your 1-hour test suite in 2 minutes with optimal parallelisation on your existing CI infrastructure
A Go library for massive virtual parallelism © 2018–present Harald Rudell harald.rudell@gmail.com (https://haraldrudell.github.io/haraldrudell/)
Interoperable effects based concurrency
This is a final delivery for the parallel programming class at our university, here we will present 2 algorithms which are the Hash-table and Luby's algorithm, they will be presented with normal execution and with parallel execution.
C++ class for signal processing, async network programming, concurrency, parallel computing and multithreading
Parallel Collectors is a toolkit easing parallel collection processing in Java using Stream API.
The C++ Standard Library for Parallelism and Concurrency
Tools for concurrent programming in Rust
Simple & Efficient data access for Scala and Scala.js
A library to manage and run tasks in parallel using krakjoe/parallel PHP extension
oneAPI Threading Building Blocks (oneTBB)
Simple implementation of the Azure OpenAI Parallel Requester
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Add a description, image, and links to the parallelism topic page so that developers can more easily learn about it.
To associate your repository with the parallelism topic, visit your repo's landing page and select "manage topics."