From ripley at stats.ox.ac.uk  Thu Feb 10 15:44:35 2011
From: ripley at stats.ox.ac.uk (Prof Brian Ripley)
Date: Thu, 10 Feb 2011 14:44:35 +0000 (GMT)
Subject: [Rd] BLAS optimization by CUBLAS
In-Reply-To: <AANLkTikjEh-EPAfaQ=BYgq3N+R6a16Nn0am1an8tt_+=@mail.gmail.com>
References: <AANLkTikjEh-EPAfaQ=BYgq3N+R6a16Nn0am1an8tt_+=@mail.gmail.com>
Message-ID: <alpine.LFD.2.02.1102101442220.21762@toucan.stats.ox.ac.uk>

On Thu, 10 Feb 2011, ???? ??????? wrote:

> Dear colleagues!
>
> In early 2009 there was a discussion about fast BLAS library initiated by
> Sachin. He reported a faster BLAS library made by Nvidia CUBLAS library. Uwe
> Ligges showed an interest for placing the optimized rblas.dll into
> windows/contrib section managed by him. Unfortunately there is no any CUBLAS
> version of rblas.dll in this section at present. So, is anybody interested
> in CUBLAS optimization of rblas now?

We are, but we are primarily interested in maintainable Open Source 
solutions.  No one made available such a version of Rblas.dll (sic).

>  In my opinion current directions (packages) of high-performance and
> parallel computing with R suffer from grave shortcomings: all GPU
> optimization is made by introducing more and more optimized functions
> coexisting with original ones. This hard way has been chosen for Matlab too.
> It complicates R as a language. So, the idea of optimizing BLAS (especially
> by CUBLAS) seems to overcome the mentioned shortcomings. It might be
> remarkable to make some efforts to this way of high-performance computing.
>
> Yuri Possokhov
>
> 	[[alternative HTML version deleted]]

Please do follow the posting guide and not send HTML.

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
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[Rd] BLAS optimization by CUBLAS
Prof Brian Ripley