Ability Test for Matrix-Multiplication and FFT Based on CUDA
Deng Yuan-yong · Jisuanji gongcheng · 2009
This paper introduces the result of a test that evaluates the effectiveness of Compute Unified Device Architecture(CUDA) using NVDIA GeForce8800GT and the compiler Visual Studio 2008.It tests the speed of NVIDIA CUBLAS,CUDA kernel,common C program,Intel MKL BLAS,CUDA driver API program,FFTW and CUFFT Library in matrix-multiplication and Fast Fourier Transform(FFT).Test result of the large scale data shows that the computing ability of GPU is 25 times better than that of CPU.