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🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

Future.apply ⭐ 203

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

Bigsnpr ⭐ 168

R package for the analysis of massive SNP arrays.

Bigstatsr ⭐ 165

R package for statistical tools with big matrices stored on disk.

Batchtools ⭐ 158

Tools for computation on batch systems

Parallelly ⭐ 117

R package: parallelly - Enhancing the 'parallel' Package

Biglasso ⭐ 107

biglasso: Extending Lasso Model Fitting to Big Data in R

Cpprouting ⭐ 73

Algorithms for Routing and Solving the Traffic Assignment Problem

R/foreach Redis backend for parallel computing

Future.callr ⭐ 60

🚀 R package future.callr: A Future API for Parallel Processing using 'callr'

Beyond Single Core R ⭐ 57

Short tour of parallel and foreach packages, and how to think about scaling data analyses

R package to provide foreach looping construct

R# language is a kind of R liked vectorized language implements on .NET environment for the bioinformatics data analysis

🕟 💻 Dependent Delayed Computation

The Road To Progress ⭐ 16

Step-by-step guide for vectorizing/parallelizing your code

Informme ⭐ 15

An information-theoretic pipeline for methylation analysis of WGBS data

an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.

A friendly MCMC framework

Highperformancecomputing ⭐ 13

CRAN Task View: High-Performance and Parallel Computing with R

An `R` package for parallelizing tasks, tracking their progress, and displaying accurate progress bars.

Stars Parallel ⭐ 11

Tutorial on parallel processing of raster data in the {stars} package

Article Bengtsson Future ⭐ 10

H. Bengtsson, A Unifying Framework for Parallel and Distributed Processing in R using Futures, The R Journal, 10.32614/RJ-2021-048, 2021

Future.batchjobs ⭐ 8

🚀 R package: future.BatchJobs: A Future API for Parallel and Distributed Processing using BatchJobs [Intentionally archived on CRAN on 2021-01-08]

High_performance_r ⭐ 7

Instructions and benchmarks for high-performance computing in R

Sim.diffproc ⭐ 7

An R package for symbolic and numerical computations on scalar and multivariate systems of stochastic differential equations (SDEs). It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of these systems in both forms Itô and Stratonovich <doi:10.18637/jss.v096.i02>.

The currr package is a wrapper for the purrr::map() family but extends the iteration process with a certain number of checkpoints ( currr = checkpoints + purr), where the evaluated results are saved, and we can always restart from there.

Multinode Multicore R Shiny ⭐ 6

Instructions to set up Multi-node multi-core R / Shiny

Parallelized version of the R2WinBUGS library of R

Mcreplicate ⭐ 5

Multi-core replicate for RStats

An R-Package that facilitates simulation studies

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