There are 6 repositories under parallelization topic.
A high-performance distributed training framework for Reinforcement Learning
Open-source, free, self-hosted alternative to Cypress Dashboard
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Extract Transform Load for Python 3.5+
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Software rendering engine with PBR. Built from scratch on C++.
Enables the parallelization of Symfony Console commands.
:rocket: R package: future.apply - Apply Function to Elements in Parallel using Futures
ClusterRunner makes it easy to parallelize test suites across your infrastructure in the fastest and most efficient way possible.
Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures
Maven plugin that simplifies running Cucumber Scenarios in parallel.
Header only framework for data analysis in massively parallel platforms.
Simplifies the parallelization of function calls.
PeTar is a high-performance N-body code for modelling the evolution of star clusters and tidal streams, including the effect of galactic potential, dynamics of binary and hierarchical system, single and binary stellar evolution.
Actor4j is an actor-oriented Java framework.
:rocket: R package future.callr: A Future API for Parallel Processing using 'callr'
Cypress test reporter for CircleCI
Knapsack Pro for Cypress.io test runner in JavaScript. It splits tests in dynamic way across parallel CI nodes to get faster CI build time.
The Selenified Test Framework provides mechanisms for simply testing applications at multiple tiers while easily integrating into DevOps build environments. Selenified provides traceable reporting for both web and API testing, wraps and extends Selenium calls to more appropriately handle testing errors, and supports testing over multiple browsers locally, or in the cloud in parallel. It can be a great starting point for building or improving test automation in your organization.
Simple 2d finite volume solver for Euler equations using c++ kokkos library
DiscoPoP - Discovery of Potential Parallelism
Foundational tools for BCG GAMMA’s data science packages.