Comparison and analysis of matrix multiplications on GPU and CPU
Lei Guo · Computer Engineering and Applications Journal · 2011
Three matrix multiplications on CPU and four CUDA-based matrix multiplications on GPU are described,the causes of high performance are analyzed and the common characteristic of efficient algorithm is that data are properly organized and rationally utilized,and therefore the access cost effectively reduced and the speed is greatly improved.The best optimized implementation on CPU gain more 200 times fast than the common one,the best optimized implementation on GPU gain about 6 times fast than the best one on CPU.