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, GPUs, clusters and clouds. However, slowdown due to interprocess communication costs typically limits such m...
Main Author: | Norman Matloff |
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Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2016-07-01
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Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/2764 |
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