CRAN

magma 1.3.0-2

Matrix Algebra on GPU and Multicore Architectures

Released Apr 3, 2013 by Brian J Smith

This package can be loaded by Renjin but there was an error compiling C/FORTRAN sources and all tests failed.

Magma matrix classes and methods for parallel processing of matrix algebra operations. Operations are performed with algorithms developed by the MAGMA research project. MAGMA aims to achieve the fastest possible linear algebra libraries on hybrid multicore CPU and GPU architectures by exploiting their massive parallelism and minimizing communication latencies.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>magma</artifactId>
    <version>1.3.0-2-b269</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:magma')

Test Results

This package was last tested against Renjin 0.9.2587 on Jan 20, 2018.