2009•Jisuanji gongchengRequires access

Ability Test for Matrix-Multiplication and FFT Based on CUDA

Deng Yuan-yong

Abstract

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.

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Available abstract

Key concepts: CUDA, Computer science, Parallel computing, Fast Fourier transform, Compiler, Kernel (algebra), Multiplication (music), Matrix multiplication