[R-br] byte-compiler no R

[Jose Claudio Faria]

Good news!
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Jose Claudio Faria
Estatistica - Prof. Pleno
UESC/DCET/Brasil
joseclaudio.faria at gmail.com
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Em 2 de agosto de 2011 15:18, Paulo Justiniano <paulojus em leg.ufpr.br> escreveu:
> A noticia abaixo é relevante
> para novas versões e ver tendencias no projeto
> P.J.
>
> ------------------------------------------------------------------------
> With byte compiler, R 2.14 will be even faster
> August 2, 2011
> By David Smith
>
> This article was first published on Revolutions, and kindly contributed to
> R-bloggers
>
> In a presentation at the JSM 2011 conference in Miami yesterday, R core
> member Luke Tierney revealed that the next major update to R, R 2.14, will
> feature improved speed when processing interpreted R code, thanks to
> standard use of the new byte compiler feature.
>
> The byte compiler was introduced with R 2.13, but while R developers could
> use it for their own functions, the standard base and recommended packages
> were unaffected by the byte compiler. Starting with R 2.14, all of the
> standard functions and packages in R will be pre-compiled into byte-code,
> which in some cases can speed up performance by a factor of 5x or more. (In
> an experimental version of the compiler, which may make it into 2.14, even
> greater speedups are possible.) The benefits accrue mainly to pure R
> functions which deal with scalars and very short vectors -- R functions
> which call out to C code and operations on large vectors won't be affected
> much. With the new compiler, Tierney says there should be fewer occasions
> where R programmers need to turn to C or other external languages to speed
> up R code.
>
> In other news for R 2.14, Tierney says that the new version may also make
> transparent use of parallel processing for some operations on multi-core
> machines. The colSums and dist functions already include hidden features for
> parallel processing, and if tests go well features like this may become the
> default in future versions of R. Features from Tierney's experimental pnmath
> package, which parallelizes some basic math routines in R, may also make it
> into the next release.
>
> R 2.14 is expected to be released later this year.
>
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