sprint: Simple Parallel R INTerface. SPRINT (Simple Parallel R INTerface) is a parallel framework for R. It provides a High Performance Computing (HPC) harness which allows R scripts to run on HPC clusters. SPRINT contains a library of selected R functions that have been parallelized. Functions are named after the original R function with the added prefix ’p’, i.e. the parallel version of cor() in SPRINT is called pcor(). Call to the parallel R functions are included directly in standard R scripts. SPRINT contains functions for correlation (pcor), partitioning around medoids (ppam), apply (papply), permutation testing (pmaxT), bootstrapping (pboot), random forest (prandomForest), rank product (pRP) and hamming distance (pstringdistmatrix).

References in zbMATH (referenced in 5 articles , 1 standard article )

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  1. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
  2. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  3. Petrou, Savvas; Sloan, Terence M.; Mewissen, Muriel; Forster, Thorsten; Piotrowski, Michal; Dobrzelecki, Bartosz; Ghazal, Peter; Trew, Arthur; Hill, Jon: Optimization of a parallel permutation testing function for the SPRINT R package (2011) ioport
  4. Kraus, Johann M.; Kestler, Hans A.: A highly efficient multi-core algorithm for clustering extremely large datasets (2010) ioport
  5. Sangket, Unitsa; Mahasirimongkol, Surakameth; Chantratita, Wasun; Tandayya, Pichaya; Aulchenko, Yurii S.: Parallabel: an R library for generalized parallelization of genome-wide association studies (2010) ioport