- This card has a small number of compute cores (96) versus the card likely used in the demo -- probably a Tesla C1060 (240 cores/4 GB RAM) or C2075 (448 cores/6 GB RAM). More cores and more RAM is going to allow for more speedup.
- It looks like the GT525M includes the Optimus features, one of which is dedicated to power saving by disabling the GPU when it's not required, to extend battery life in a notebook. You might want to try disabling power saving features entirely and see if it makes a difference.
how can i get speedup via gpu computing
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i am trying to speed up my security analysis program using gpu computing i tried the example program from gpu computing with matlab webinar of fft but i am not getting the speedup. i am using nvidia GT525M gpu with intel core i5 processor and also having the latest cuda 5 driver installed. please help me out what to do?
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Jason Ross
on 13 Feb 2013
Looking at the specs on the card you have, there are a couple things:
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