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

Statistical Experiments on Batch Computing Clusters

Batch Computing with R

Amdahl's Profiler, Directed Optimization Made Easy

Tools for Computation on Batch Systems

Batching Routines in Parallel and Passing Command-Line Arguments to R

Manage Massive Matrices with Shared Memory and Memory-Mapped Files

Extreme Gradient Boosting

C++ Classes to Embed R in C++ (and C) Applications

'foreach' Parallel Adapter for 'parabar' Backends

Foreach Parallel Adaptor for 'parallel'

Foreach Parallel Adaptor for the Rmpi Package

Generic Reproducible Parallel Backend for 'foreach' Loops

Foreach Parallel Adaptor for the 'snow' Package

'FlexiBLAS' API Interface

Provides Foreach Looping Construct

A Future API for Parallel and Distributed Processing using 'batchtools...

R Interface for the 'H2O' Scalable Machine Learning Platform

Functions to Inline C, C++, Fortran Function Calls from R

Fast Access to Large ASCII Files

Adding Progress Bar to '*apply' Functions

Multivariate and Propensity Score Matching with Balance Optimization

Fast Multivariate Normal and Student's t Methods

Apply Mapping Functions in Parallel using Futures

Interface allowing R to use OpenCL

Operations Research LOCational Analysis Models

Progress Bar for Parallel Tasks

Parallel Simulation Studies

R Interface to 'TensorFlow'

Low-Level R to Java Interface

Extensible, Parallelizable Implementation of the Random Forest Algorit...

R Version of GENetic Optimization Using Derivatives

Interface (Wrapper) to MPI (Message-Passing Interface)

Memory-Efficient Storage of Large Data on Disk and Fast Access Functio...

R Interface to RNG with Multiple Streams

Easier Cluster Computing (Based on 'snow')

Enhancing the 'parallel' Package

Fault Tolerant Simple Network of Workstations

Machine Learning Performance Evaluation on Steroids

Dynamic Function-Oriented 'Make'-Like Declarative Pipelines

Submit R Calculations to a 'Slurm' Cluster

Control the Number of Threads on 'BLAS'

Bayesian Graph Structure Learning using Spike-and-Slab Priors

Streams of Random Numbers

Read, Manipulate, and Write Profiler Data

Simple Network of Workstations

Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files

Running Commands Remotely on 'Gridengine' Clusters

Simple Memory Profiling for R

Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampl...

Variable Selection using Random Forests

Manipulate R Data Frames Using SQL

Basic Linear Algebra with GPU

Statistical Tools for Filebacked Big Matrices

Larger-than-RAM Disk-Based Data Manipulation Framework

Interactive Visualizations for Profiling R Code

Seamless R and C++ Integration

Simulation of Diffusion Processes

Data Cloning and MCMC Tools for Maximum Likelihood Methods

Parallelised Estimation of Prediction Error

NNG (Nanomsg Next Gen) Lightweight Messaging Library

Profile Output Processing Tools for R

Bounded Memory Linear and Generalized Linear Models

Fast Pseudo Random Number Generators

Integration to 'Apache' 'Arrow'

A Pipeline Toolkit for Reproducible Computation at Scale

Bayesian Network Structure Learning, Parameter Learning and Inference

Fast Unified Random Forests for Survival, Regression, and Classificati...

Minimalist Async Evaluation Framework for R

Extension of data.frame

R Interface to MPI for HPC Clusters (Programming with Big Data Project...

Compiler for R

Use Foreach to Parallelize via the Future Framework

Text Mining Package

Partial Least Squares and Principal Component Regression

Apply Function to Elements in Parallel using Futures

A Distributed Worker Launcher Framework

Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque...

Parallel Programming Tools for 'Rcpp'

Interact with 'Condor' from R via SSH

'GPU'/CPU Benchmarking in Debian-Based Systems

Profile R Code and Visualize with 'Pprof'

R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)

R Interface to 'Keras'

Unified Parallel and Distributed Processing in R for Everyone

A Future API for Parallel Processing using 'callr'

Interface to 'Python'

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

Nonlinear Mixed Effects Models in Population PK/PD

Facilities for Simulating from ODE-Based Models