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2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC) (2012)
Salt Lake City, UT
Nov. 10, 2012 to Nov. 16, 2012
ISBN: 978-1-4673-6218-4
pp: 811-815
We present a new distributed programming extension of the R programming language. By tightly coupling R to the well-known ScaLAPACK and MPI libraries, we are able to achieve highly scalable implementations of common statistical methods, allowing the user to analyze bigger datasets with R than ever before. Early benchmarks show great optimism for the project and its future.
distributed programming, linear algebra, message passing, programming languages, statistical analysis

D. Schmidt, G. Ostrouchov, W. Chen and P. Patel, "Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data," 2012 IEEE International Conference on Services Computing (SCC), Honolulu, HI, 2013, pp. 811-815.
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