Inderscience PublishersInderscience PublishersInderscience Publishers
  PUBLISHERS OF DISTINGUISHED ACADEMIC, SCIENTIFIC AND PROFESSIONAL JOURNALS

Article Abstract

Title: A multi-dimensional Interval Reduction test
  Author: Jia-Hwa Wu, Chih-Ping Chu   Email author(s)
  Address: Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 701, ROC. ' Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 701, ROC
  Journal: International Journal of High Performance Computing and Networking 2006 - Vol. 4, No.5/6  pp. 331 - 337
  Abstract: Two-dimensional arrays occur quite frequently in real programmes. In general, for multi-dimensional arrays under constant bounds, the Lambda test is an efficient data dependence method to check whether there exist real solutions. In this paper, we propose a multi-dimensional Interval Reduction (IR) test. The multi-dimensional IR test can be applied towards testing whether there are integer solutions for multi-dimensional arrays under constant limits, increasing the testing precision and exploiting the degree of loop parallelisation and vectorisation. Experiments with benchmarks showing the effects of the multi-dimensional IR test are also presented.
  Keywords: parallelising compilers; data dependence analysis; loop parallelisation; vectorisation; high performance computing; interval reduction tests; multi-dimensional arrays.
  DOI: 10.1504/IJHPCN.2006.013488
  Access for editors and complimentary subscribers       Access for Subscribers   Purchase this Paper        We welcome your comments about this paper Comment on the Paper