cshalizi + to_teach:statcomp + distributed_systems   2

[1409.5827] Software Alchemy: Turning Complex Statistical Computations into Embarrassingly-Parallel Ones
"The growth in the use of computationally intensive statistical procedures, especially with Big Data, has necessitated the usage of parallel computation on diverse platforms such as multicore, GPU, clusters and clouds. However, slowdown due to interprocess communication costs typically limits such methods to "embarrassingly parallel" (EP) algorithms, especially on non-shared memory platforms. This paper develops a broadly-applicable method for converting many non-EP algorithms into statistically equivalent EP ones. The method is shown to yield excellent levels of speedup for a variety of statistical computations. It also overcomes certain problems of memory limitations."
in_NB  to_read  distributed_systems  computational_statistics  statistics  matloff.norm  to_teach:statcomp 
january 2015 by cshalizi

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