r-pbd.org
pbdR - programming with big data in RProductivity, Performance, and Portability in Big Data analytics. Scaling R analytics from one core to tens of thousands of cores.
http://www.r-pbd.org/
Productivity, Performance, and Portability in Big Data analytics. Scaling R analytics from one core to tens of thousands of cores.
http://www.r-pbd.org/
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pbdR - programming with big data in R | r-pbd.org Reviews
https://r-pbd.org
Productivity, Performance, and Portability in Big Data analytics. Scaling R analytics from one core to tens of thousands of cores.
Glenn K. Lockwood: April 2014
https://glennklockwood.blogspot.com/2014_04_01_archive.html
Glenn K. Lockwood. Personal thoughts and opinions of a supercomputing enthusiast. Tuesday, April 29, 2014. Being a Successful Researcher. The treatment of graduate students and postdocs. And how people are being forced. In fact, it seems like the most universal qualification that comes with a Ph.D. is being able to complain about academia. Recently posted a blog titled " How to stand out in academic scientific research. Which boils down to a few tips on being an outstanding (in the literal sense of the w...
HPTCDL - First Workshop for High Performance Technical Computing in Dynamic Languages
http://hptcdl.github.io/2014.html
HPTCDL - First Workshop for High Performance Technical Computing in Dynamic Languages. Download this project as a .zip file. Download this project as a tar.gz file. Workshop date: Monday, November 17, 2014. New Orleans Convention Center, Room 293 (south end of center, above Hall J). Held in conjunction with SC14: The International Conference on High Performance Computing, Networking, Storage and Analysis. Alan Edelman: High Performance Technical Computing in Dynamic Languages: Past, Present, and Future.
CRAN Task View: High-Performance and Parallel Computing with R
https://cran.r-project.org/web/views/HighPerformanceComputing.html
CRAN Task View: High-Performance and Parallel Computing with R. X44;irk.Eddelbuettel at R-project.org. This CRAN task view contains a list of packages, grouped by topic, that are useful for high-performance computing (HPC) with R. In this context, we are defining 'high-performance computing' rather loosely as just about anything related to pushing R a little further: using compiled code, parallel computing (in both explicit and implicit modes), working with large objects as well as profiling. Contributio...
wrathematics
http://wrathematics.github.io/code.html
My stack runneth over. Programming with Big Data in R (pbdR). I am currently the co-lead developer of the pbdR ecosystem of packages. These are a collection of utilities and services for leveraging R in HPC environments. For more information, see the main project website http:/ r-pbd.org/. System Hardware Info for R and Analytics (SHINRA). SHINRA is a set of tools for benchmarkers working with R. For more information about SHINRA, see https:/ shinra-dev.github.io/. A collection of utilities that make dea...
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pbdR - programming with big data in R
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