PARALLEL: Stata module for Parallel Computing

George Vega () and Brian Quistorff

Statistical Software Components from Boston College Department of Economics

Abstract: Parallel lets you run Stata faster, sometimes faster than MP itself. By organizing your job in several Stata instances, parallel allows you to work with out-of-the-box parallel computing. Using the the 'parallel' prefix, you can get faster simulations, bootstrapping, reshaping big data, etc. without having to know a thing about parallel computing. With no need of having Stata/MP installed on your computer, parallel has showed to dramatically speedup computations up to two, four, or more times depending on how many processors your computer has.

Language: Stata
Requires: Stata version 11
Keywords: parallel computing; timming; high performance computing; HPC; big data; simulations; bootstrapping; monte carlo; multiple imputations (search for similar items in EconPapers)
Date: 2012-10-04, Revised 2015-08-29
Note: This module should be installed from within Stata by typing "ssc install parallel". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/p/parallel.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/parallel_append.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/parallel_bs.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/parallel_sim.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/parallel.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/p/parallel_source.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/lparallel.mlib Mata object library (application/x-stata)
http://fmwww.bc.edu/repec/bocode/p/parallel.pdf documentation (application/pdf)

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