- 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
조회 수: 1 (최근 30일)
이전 댓글 표시
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?
댓글 수: 0
답변 (1개)
Jason Ross
2013년 2월 13일
Looking at the specs on the card you have, there are a couple things:
댓글 수: 0
참고 항목
카테고리
Help Center 및 File Exchange에서 GPU Computing에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!