A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
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Updated
Apr 22, 2025 - Python
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Parallel Programming with Python and Charm++
oneAPI Specification source files
"Grokking Concurrency" book code examples
Repository for Parallel Programming course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.
A robust DAG implementation for parallel execution
Simulation of wildfire using cellular automaton and used mpi4py to parallel the program. Final Project for High Performance Computing and Parallel Computing Spring 2018@GWU
A better requests and urllib. A simple package for hitting multiple URLs and performing GET/POST requests in parallel.
DiscoPoP - Discovery of Potential Parallelism
PTRAIL is a state-of-the art parallel computation library for Mobility Data Preprocessing and feature extraction.
Yet another easy-to-use python3 parallel library for humans.
Python project which calculates the value of pi by using Monte Carlo simulation in a single thread, multi-thread, and multi-process way.
Repository with codes for simulating and optimising quantum key distribution protocols.
Network scanner in Python 2.7 with Scapy using ARP broadcast discovery.
GRAph Parallel Environment
Thin MapReduce-like layer that wraps the Python multiprocessing library.
Contrastive Learning for Lane Detection via cross-similarity
bilibili视频【CUDA 12.x 并行编程入门(Python版)】配套代码
A Python library that wraps the multiprocessing package. It provides a simple to use API to build queue-based multiprocessing pipelines
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