Thread Subject:
Parallel Computing Toolbox Download

Subject: Parallel Computing Toolbox Download

From: GAURAV GUPTA

Date: 3 Aug, 2012 11:10:19

Message: 1 of 3

Hi,

I have License for Matlab 2009b on Windows 7 (32-bit) machine of following config:
          CPU:Core2Duo E8500 ; GPU: G100
Is there a way to download (free/paid) CUDA enabled Parallel Computing Toolbox for 2009b for benchmarking purpose ?

Thanks in Advance.

-Gaurav

Subject: Parallel Computing Toolbox Download

From: Steven_Lord

Date: 3 Aug, 2012 13:22:42

Message: 2 of 3



"GAURAV GUPTA" <gauravdce07@yahoo.co.in> wrote in message
news:jvgbir$o1m$1@newscl01ah.mathworks.com...
> Hi,
>
> I have License for Matlab 2009b on Windows 7 (32-bit) machine of following
> config:
> CPU:Core2Duo E8500 ; GPU: G100
> Is there a way to download (free/paid) CUDA enabled Parallel Computing
> Toolbox for 2009b for benchmarking purpose ?

The ability to use a GPU with Parallel Computing Toolbox was introduced in
release R2010b.

http://www.mathworks.com/help/toolbox/distcomp/rn/bsloyak-1.html#bsiqpvy-1

So the answer to your question is no.

In general, to see if you are eligible to get a trial for our products,
enter "trial" in the search box on http://www.mathworks.com and click on the
first of the "Best Bet" links.

--
Steve Lord
slord@mathworks.com
To contact Technical Support use the Contact Us link on
http://www.mathworks.com

Subject: Parallel Computing Toolbox Download

From: AccelerEyes

Date: 3 Aug, 2012 16:51:52

Message: 3 of 3

Jacket supports MATLAB R2009B, as well as many other older versions of MATLAB. It is also much faster, more capable, and more stable than the limited GPU functionality of the latest Parallel Computing Toolbox. See how it compares, here: http://accelereyes.com/compare (third-party benchmarks available in that link).

Feel free to contact us if you want any more information, benchmarks, or access to Jacket for benchmarking: john.melonakos@accelereyes.com

Tags for this Thread

Everyone's Tags:

Add a New Tag:

Separated by commas
Ex.: root locus, bode

What are tags?

A tag is like a keyword or category label associated with each thread. Tags make it easier for you to find threads of interest.

Anyone can tag a thread. Tags are public and visible to everyone.

Tag Activity for This Thread
Tag Applied By Date/Time
parallel computing... GAURAV GUPTA 3 Aug, 2012 07:14:15
cuda GAURAV GUPTA 3 Aug, 2012 07:14:15
r2009b GAURAV GUPTA 3 Aug, 2012 07:14:15
rssFeed for this Thread

Contact us