新版Jacket支援NVIDIA GPU Tesla C2050(Fermi)加速MATLAB計算!!

張貼者:2010年7月15日 上午1:03C Zye   [ eddie liu 已於 2012年5月8日 下午8:50 更新 ]
附件是Jacket V1.4 支援Tesla C2050(Fermi)的介紹,效能提昇挺不錯,有使用JacketMATLAB的朋友可以參考看看,在GPU環境的計算速度!!

 

 

Initial customer testing has shown what they are calling “pretty impressive” results. Comparing a 1265 MHz Tesla C1060 running Jacket 1.3 with CUDA 2.3 and a 1025 MHz Fermi C2050 running Jacket 1.4 with CUDA 3.0, the results are as follows:

Multiply-add (MAD), double precision on GPU, Fermi is 1.4x faster than Tesla for 4000x4000 matrices (2s vs 2.8s)

2D 2-point (GRADIENT), single precision on GPU, Fermi is 3x faster than Tesla for 4000x4000 matrices (0.3s vs 0.9s)

2D FFT (FFT2), double precision on GPU, Fermi is 2x faster than Tesla for 4000x4000 matrices (0.1s vs 0.2s)

Ċ
eddie liu,
2010年7月15日 上午1:06
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