byte coding compiling.....
Dear Jeff,
THen why is pbmclapply 3 time faster than mclappy? In the package description of pbmclapply it says: "Needs compilation no". When i ran my code iwith pbmclapply, I did not compile my code. So I do presume that the speed up must in some way connected to this "NeedsCompilation" field. Any thoughts on that?
Yours sincerely
AKSHAY M KULKARNI
From: Jeff Newmiller <jdnewmil at dcn.davis.ca.us>
Sent: Thursday, July 7, 2022 10:10 PM
To: r-help at r-project.org <r-help at r-project.org>; akshay kulkarni <akshay_e4 at hotmail.com>; Uwe Ligges <ligges at statistik.tu-dortmund.de>; Bert Gunter <bgunter.4567 at gmail.com>
Cc: R help Mailing list <r-help at r-project.org>
Subject: Re: [R] byte coding compiling.....
Sent: Thursday, July 7, 2022 10:10 PM
To: r-help at r-project.org <r-help at r-project.org>; akshay kulkarni <akshay_e4 at hotmail.com>; Uwe Ligges <ligges at statistik.tu-dortmund.de>; Bert Gunter <bgunter.4567 at gmail.com>
Cc: R help Mailing list <r-help at r-project.org>
Subject: Re: [R] byte coding compiling.....
That item refers to the package having some compiled language (e.g. C, C++, Fortran, etc) components. The very fact that it got installed confirms that compilation occurred... it would not be usable otherwise. On July 7, 2022 8:38:49 AM PDT, akshay kulkarni <akshay_e4 at hotmail.com> wrote: >Dear Uwe, > I have attached the info from the parallel package description from my Rstudio IDE: > >Package: parallel >Version: 4.1.2 >Priority: base >Title: Support for Parallel computation in R >Author: R Core Team >Maintainer: R Core Team <do-use-Contact-address at r-project.org> >Contact: R-help mailing list <r-help at r-project.org> >Description: Support for parallel computation, including by forking > (taken from package multicore), by sockets (taken from package snow) > and random-number generation. >License: Part of R 4.1.2 >Imports: tools, compiler >Suggests: methods >Enhances: snow, nws, Rmpi >NeedsCompilation: yes >Built: R 4.1.2; x86_64-w64-mingw32; 2021-11-01 18:38:05 UTC; windows > >It says: NeedsCompilation: yes > >How about it? > >Yours sincerely, >AKSHAY M KULKARNI > >________________________________ >From: Uwe Ligges <ligges at statistik.tu-dortmund.de> >Sent: Thursday, July 7, 2022 4:08 PM >To: akshay kulkarni <akshay_e4 at hotmail.com>; Bert Gunter <bgunter.4567 at gmail.com> >Cc: R help Mailing list <r-help at r-project.org> >Subject: Re: [R] byte coding compiling..... > > > >On 06.07.2022 19:54, akshay kulkarni wrote: >> Dear Bert, >> Thanks for your reply... >> >> So >>> cmpfun(mclapply) > >mclapply is already byte compiled as it is in a package. > >You may want to >cmpfun(yourFunction) >the function that you use in the mclapply call. > >Best, >Uwe Ligges > > >> >> should do the job right? >> >> By the by, how can I give a reprex? Reprex of the code that I am giving to mclapply (as FUN argument)? >> >> Yours sincerely, >> AKSHAY M KULKARNI >> ________________________________ >> From: Bert Gunter <bgunter.4567 at gmail.com> >> Sent: Wednesday, July 6, 2022 10:32 PM >> To: akshay kulkarni <akshay_e4 at hotmail.com> >> Cc: R help Mailing list <r-help at r-project.org> >> Subject: Re: [R] byte coding compiling..... >> >> Unlikely >> >> See here: >> https://www.r-bloggers.com/2017/08/how-to-make-best-use-of-the-byte-compiler-in-r/ >> >> Byte code compilation should be automatic in both cases, as I understand it. Of course, I could be wrong due to special features of parallel programming, etc. >> >> A reprex might be helpful here. >> >> Cheers, >> Bert >> >> >> On Wed, Jul 6, 2022, 7:29 PM akshay kulkarni <akshay_e4 at hotmail.com<mailto:akshay_e4 at hotmail.com>> wrote: >> Dear members, >> I am using pbmclapply, the progress bar version of mclapply, from the parallel package. The point is, pbmclapply is three times faster than mclapply, and I think the most probable reason would be that pbmclapply is byte code compiled (I can think of no other reason). >> >> I know the cmpfun function from compiler package. If I do: >> >>> cmpfun(mclapply) >> >> will the job be done? The point is mclapply may look for other functions in the parallel package. So I have to compile the whole package right? How do you do that? or in general, how do you byte code compile a whole package? >> >> Thanking you, >> Yours sincerely, >> AKSHAY M KULKARNI >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org<mailto:R-help at r-project.org> mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]] > >______________________________________________ >R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. -- Sent from my phone. Please excuse my brevity.