Programming with Big Data in R: Difference between revisions

Revision as of 23:28, 26 June 2013

Revision as of 00:08, 27 June 2013

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* pbdBASE --- low-level [[ScaLAPACK]] codes and wrappers

* pbdDMAT --- distributed matrix classes and computational methods, with a focus on linear algebra and statistics<ref>{{cite journal|author=J. Dongarra and D. Walker|title=The Design of Linear Algebra Libraries for High Performance Computers|url=http://acts.nersc.gov/scalapack/hands-on/datadist.html}}</ref><ref>{{cite journal|author=J. Demmel, M. Heath, and H. van der Vorst|title=Parallel Numerical Linear Algebra|url=http://acts.nersc.gov/scalapack/hands-on/datadist.html}}</ref><ref>{{cite web|title=2d block-cyclic data layout|url=http://acts.nersc.gov/scalapack/hands-on/datadist.html}}</ref>

* pbdDEMO --- set of package demonstrations and examples, and this unifying vignette<ref name=pbdDEMO>{{cite journal|author=Schmidt, D., Chen, W.-C., Patel, P., Ostrouchov, G.|year=2013|title=Speaking Serial R with a Parallel Accent|url=http://cran.r-project.org/package=pbdDEMO}}</ref>

* pmclust -- parallel [[Mixture model|model-based clustering]] using pbdR