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Numerical linear algebra / Matrix theory / Functional languages / Functional analysis / Singular value decomposition / R / Eval / Matrix / Vector space / Algebra / Mathematics / Linear algebra


R with High Performance Computing: Parallel processing and large memory Amy F. Szczepanski, ´ Remote Data Analysis and Visualization Center, University of Tennessee http://rdav.nics.tennessee.edu/
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Document Date: 2011-08-01 22:14:42


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NVIDIA / GPU / Twitter / Intel / Facebook / /

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Facility

CULA library / install.packages(twitteR) library / Intel MKL library / CUBLAS library / National Institute / /

IndustryTerm

large systems / computing / airline / performance computing resources / /

OperatingSystem

Macintosh / /

Organization

NSF’s office of Cyber Infrastructure / Texas Advanced Computing Center / National Institute for Computational Sciences / National Science Foundation / University of Tennessee / /

Person

Pragnesh Patel / Amy F. Szczepanski / /

Position

Ranger / /

ProgrammingLanguage

R / FALSE / LATEX / Fortran / C* / /

Technology

RAM / shared memory / Parallel processing / /

URL

http /

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