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  • 标题:Comparative Study of Strassen’s Matrix Multiplication Algorithm
  • 本地全文:下载
  • 作者:Juby Mathew ; Dr. R Vijaya Kumar
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:1Ver4
  • 出版社:Ayushmaan Technologies
  • 摘要:The main focus of this paper is to compare the execution time complexity and space complexity between Strassen’s algorithm and the conventional algorithm for matrix multiplication. The aim is to design a program, which generates two matrices with various dimensions, and multiplies the two matrices using both the Strassen’s algorithm and the conventional algorithm. The execution time of each algorithm is recorded to evaluate the performance of each algorithm. The programming language used this project is Java. Some of the main achievements in this project are, successfully divide matrices into blocks, the Strassen’s algorithm was applied to each blocks recursively, and the level of recursion was controlled. The overall finding is that the Strassen’s algorithm is more efficient than conventional algorithm on large size of matrices. However, in scientific computing, memory has to be considered. The results show that Strassen’s algorithm needs more memory allocations than the conventional algorithm, due to the fact in design that more arrays need to be created.
  • 关键词:Matrix Multiplication; Parallel Algorithm; Strassen’s Algorithm
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