CRAN
magma 1.3.0-2
Matrix Algebra on GPU and Multicore Architectures
Released Apr 3, 2013 by Brian J Smith
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>
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.