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Topic > High Performance Computing > Parallel Computing

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4 projects in result set.

0. Nvidia thrust column-major matrices func - This package provides basic R functions made with a help of nvidia thrust for GPU computation in linux environment. The implementation is based on the NVIDIA CUDA Toolkit 4.0.

Development Status : 2 - Pre-Alpha [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
Intended Audience : Other Audience [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : C/C\+\+ (Now Filtering)
Programming Language : Other [Filter]
Programming Language : R [Filter]
Topic : High Performance Computing : Parallel Computing [Filter]

Activity Percentile: 0.00

Registered: 2011-06-10 12:13

1. Eagle for Genome-Wide Association Mappin - The Eagle package is an implementation of multiple-locus association mapping on a genome-wide scale. It can handle inbred or outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer.

Development Status : 1 - Planning [Filter]
Environment : Web Environment [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : MacOS [Filter]
Operating System : Microsoft : Windows [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : C/C\+\+ (Now Filtering)
Programming Language : R [Filter]
Topic : Genetics : Linkage, LD and Haplotype Mapping [Filter]
Topic : Genetics : QTL Mapping [Filter]
Topic : High Performance Computing : Parallel Computing [Filter]

Activity Percentile: 0.00

Registered: 2017-07-24 00:36

2. RMVL - Mappable vector library provides convenient way to access large datasets on solid state drives. This bypasses limitation of physical memory size as well as limited bandwidth of database interfaces. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface. The data is memory mapped into R and then accessed using usual R list and array subscription operators. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as standalone C library. libMVL has simple C API making it easy to interchange of datasets with outside programs.

Development Status : 3 - Alpha [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU Lesser General Public License (LGPL) [Filter]
Operating System : OS Independent [Filter]
Programming Language : C/C\+\+ (Now Filtering)
Programming Language : R [Filter]
Topic : Database [Filter]
Topic : High Performance Computing : Large Memory [Filter]
Topic : High Performance Computing : Parallel Computing [Filter]

Activity Percentile: 0.00

Registered: 2021-08-19 02:16

3. SPRINT: Simple Parallel R INTerface - SPRINT is a Simple Parallel R INTerface to High Performance Computing (HPC) that enables biologists to run statistical analysis scripts using R in parallel on HPC clusters. It consists of an HPC harness and a library of parallelized R functions.

Development Status : 5 - Production/Stable [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : C/C\+\+ (Now Filtering)
Topic : Bioinformatics : Statistics [Filter]
Topic : High Performance Computing : Parallel Computing [Filter]

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Registered: 2009-11-20 16:56