parallelization
There are 264 repositories under parallelization topic.
PaddlePaddle/PARL
A high-performance distributed training framework for Reinforcement Learning
sorry-cypress/sorry-cypress
Open-source, free, self-hosted alternative to Cypress Dashboard
jmcarpenter2/swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
python-bonobo/bonobo
Extract Transform Load for Python 3.5+
chaps-io/gush
Fast and distributed workflow runner using ActiveJob and Redis
futureverse/future
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
AgnostiqHQ/covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Angelo1211/SoftwareRenderer
Software rendering engine with PBR. Built from scratch on C++.
jm33-m0/mec
for mass exploiting
alantech/alan
Autoscalable Programming Language
fastflow/fastflow
FastFlow pattern-based parallel programming framework (formerly on sourceforge)
joergen7/cuneiform
Cuneiform distributed programming language
webmozarts/console-parallelization
Enables the parallelization of Symfony Console commands.
futureverse/future.apply
:rocket: R package: future.apply - Apply Function to Elements in Parallel using Futures
box/ClusterRunner
ClusterRunner makes it easy to parallelize test suites across your infrastructure in the fastest and most efficient way possible.
Zuricho/ParallelFold
Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures
zeehio/parmap
Easy to use map and starmap python equivalents
snuspl/parallax
A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
gvegayon/parallel
PARALLEL: Stata module for parallel computing
trivago/cucable-plugin
Maven plugin that simplifies running Cucumber scenarios in parallel.
MultithreadCorner/Hydra
Header only framework for data analysis in massively parallel platforms.
nojhan/paradiseo
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
lwang-astro/PeTar
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.
relvaner/actor4j-core
Actor4j’s core implementation separates SDK and runtime, enabling flexible execution models.
shomali11/parallelizer
Simplifies the parallelization of function calls.
futureverse/future.callr
:rocket: R package future.callr: A Future API for Parallel Processing using 'callr'
Matts966/alphasql
AlphaSQL provides Integrated Type and Schema Check and Parallelization for SQL file set mainly for BigQuery
Par4All/par4all
Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs
discopop-project/discopop
DiscoPoP - Discovery of Potential Parallelism
ksocha/cypress-circleci-reporter
Cypress test reporter for CircleCI
kvnkuang/pbmcapply
Tracking the progress of mc*apply with progress bar.
g-andrade/taskforce
On-demand worker pools for parallelizable tasks
Coveros-GitHub-Sandbox/selenified
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.
KnapsackPro/knapsack-pro-cypress
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.
pkestene/euler2d_kokkos
Simple 2d finite volume solver for Euler equations using c++ kokkos library
sciris/sciris
Fast, flexible tools to simplify scientific Python