work-stealing

A General-purpose Parallel and Heterogeneous Task Programming System

A state-of-the-art multithreading runtime: message-passing based, fast, scalable, ultra-low overhead

A fast work-stealing queue template in C++

A bleeding-edge, lock-free, wait-free, continuation-stealing scheduler for C++20

Fast, generalized, implementation of the Chase-Lev lock-free work-stealing deque for C++17

Light, fast, threadpool for C++20

Lock-free concurrent work stealing deque in C++

A parallelism library for Vala and GObject

Hardware Accelerated Cold-Boot Attacks

A library for simplified distributed computing across any heterogeneous architectures (cpu + gpu), with tensor support, and polymorphic data layouts for optimal performance! Ripple enables you to scale quickly without sacrificing performance!

A small experiment with the Haskell distributed-process library

This repository contains example code for writing a work distributor using places to enable multiprocessing in Racket.

Portable Multiprocessing Library for C

Work Stealing Thread Pool

Task-Based Parallelism in C++

Coroutine for C++ with io_uring and work stealing scheduler as backend

dusk: lightweight workstealing scheduler for parallel high performance computing

Designed and Developed three cache efficient schedulers for a parallel Matrix Multiplication program. Distributed randomized work-stealing, distributed randomized work-sharing, and centralized work-sharing schedulers were efficiently implemented to optimize performances such as GFLOPS, and L1/L2/L3 cache hits.