C++Talk.NET C++ language newsgroups   Archives   FAQ   Search   Memberlist   Usergroups   Register   Profile   Log in to check your private messages   Log in  Linear Alegebra in C++          C++Talk.NET Forum Index -> C++ language (comp.lang.c++) View previous topic :: View next topic   Author Message RS Guest Posted: Sat Aug 26, 2006 7:56 am    Post subject: Linear Alegebra in C++ Hi all, I am looking for a fast, efficient (tuned for speed, not size) and mature C++ code to do some numerical work with. I have looked at the Template Numerical Toolkit, which the oonumerics.org web page claims is a successor to lapack++. But on the surface it doesn't seem to have all the functionalities of lapack++, let alone being its successor. On the other hand, it may be faster. I haven't checked that yet. Lapack++ is supposed to be a wrapper for ublas. TNT doesn't seem to have anything to do with ublas. It hasn't been updated that often. There is also a cpplapack that is being developed independently of lapack++. My question is how fast is TNT. Is it faster than the other packages? If you were to chose one package, which one would you chose? Thanks, RS Back to top Gert Van den Eynde Guest Posted: Mon Aug 28, 2006 9:10 am    Post subject: Re: Linear Alegebra in C++ RS wrote: Quote: Hi all, I am looking for a fast, efficient (tuned for speed, not size) and mature C++ code to do some numerical work with. I have looked at the Template Numerical Toolkit, which the oonumerics.org web page claims is a successor to lapack++. But on the surface it doesn't seem to have all the functionalities of lapack++, let alone being its successor. On the other hand, it may be faster. I haven't checked that yet. Lapack++ is supposed to be a wrapper for ublas. TNT doesn't seem to have anything to do with ublas. It hasn't been updated that often. There is also a cpplapack that is being developed independently of lapack++. My question is how fast is TNT. Is it faster than the other packages? If you were to chose one package, which one would you chose? Thanks, RS I'm using the gmm++ library that is part of GetFem++ http://www-gmm.insa-toulouse.fr/getfem/ It can interface a fortran Blas/Lapack library like ATLAS and LAPACK. Quite happy with it. bye, gert Back to top Gert Van den Eynde Guest Posted: Mon Sep 04, 2006 9:10 am    Post subject: Re: Linear Alegebra in C++ Bill Shortall wrote: Quote: "Gert Van den Eynde" <gvdeynde (AT) gmail (DOT) com> wrote in message news:ecu8bh$bi5$1 (AT) ikaria (DOT) belnet.be... RS wrote: Hi all, I am looking for a fast, efficient (tuned for speed, not size) and mature C++ code to do some numerical work with. I have looked at the Template Numerical Toolkit, which the oonumerics.org web page claims is a successor to lapack++. But on the surface it doesn't seem to have all the functionalities of lapack++, let alone being its successor. On the other hand, it may be faster. I haven't checked that yet. Lapack++ is supposed to be a wrapper for ublas. TNT doesn't seem to have anything to do with ublas. It hasn't been updated that often. There is also a cpplapack that is being developed independently of lapack++. My question is how fast is TNT. Is it faster than the other packages? If you were to chose one package, which one would you chose? Thanks, RS I'm using the gmm++ library that is part of GetFem++ http://www-gmm.insa-toulouse.fr/getfem/ It can interface a fortran Blas/Lapack library like ATLAS and LAPACK. Quite happy with it. bye, gert Gert, is this available only to INSA ? I don't see any way to download it. Bill No, this is the link: http://www-gmm.insa-toulouse.fr/getfem/stable/gmm-2.0.tar.gz bye, gert Back to top Harmonic Software Guest Posted: Wed Sep 06, 2006 6:22 am    Post subject: Re: Linear Alegebra in C++ [This followup was posted to sci.math.num-analysis and a copy was sent to the cited author.] In article <edghgm$svc$1 (AT) ikaria (DOT) belnet.be>, gvdeynde (AT) gmail (DOT) com says... Quote: Bill Shortall wrote: "Gert Van den Eynde" <gvdeynde (AT) gmail (DOT) com> wrote in message news:ecu8bh$bi5$1 (AT) ikaria (DOT) belnet.be... RS wrote: Hi all, I am looking for a fast, efficient (tuned for speed, not size) and mature C++ code to do some numerical work with. I have looked at the Template Numerical Toolkit, which the oonumerics.org web page claims is a successor to lapack++. But on the surface it doesn't seem to have all the functionalities of lapack++, let alone being its successor. On the other hand, it may be faster. I haven't checked that yet. Lapack++ is supposed to be a wrapper for ublas. TNT doesn't seem to have anything to do with ublas. It hasn't been updated that often. There is also a cpplapack that is being developed independently of lapack++. My question is how fast is TNT. Is it faster than the other packages? If you were to chose one package, which one would you chose? Thanks, RS I'm using the gmm++ library that is part of GetFem++ http://www-gmm.insa-toulouse.fr/getfem/ It can interface a fortran Blas/Lapack library like ATLAS and LAPACK. Quite happy with it. bye, gert Gert, is this available only to INSA ? I don't see any way to download it. Bill No, this is the link: http://www-gmm.insa-toulouse.fr/getfem/stable/gmm-2.0.tar.gz bye, gert If you don't need source code you might look at the Intel Math Kernel, and signal processing primitives libraries. We found both to be very robust and efficient. Beau Paisley www.omatrix.com Back to top Display posts from previous: All Posts1 Day7 Days2 Weeks1 Month3 Months6 Months1 Year Oldest FirstNewest First         C++Talk.NET Forum Index -> C++ language (comp.lang.c++) All times are GMT Page 1 of 1   Jump to: Select a forum C/C++----------------C LanguageC Language (Moderated)C++ Language (Moderated)C++ language (comp.lang.c++)C++ language, library and standards Non-English C/C++ Newsgroups----------------C++ (German)C++ (French)  You cannot post new topics in this forum You cannot reply to topics in this forum You cannot edit your posts in this forum You cannot delete your posts in this forum You cannot vote in polls in this forum Powered by phpBB © 2001, 2006 phpBB Group SEO toolkit © 2004-2006 webmedic.