Segmented Alignment: An Enhanced Model to Align Data Parallel Programs of HPF

  • Authors:

  • Gwan-Hwan Hwang;Cheng-Wei Chen;Jenq Kuen Lee;Roy Dz-Ching Ju

  • Affiliations:

  • Department of Information and Computer Education, National Taiwan Normal University, Taipei, Taiwan;Department of Computer Science, National Tsing-Hua University, Hsinchu, Taiwan;Department of Computer Science, National Tsing-Hua University, Hsinchu, Taiwan jklee@cs.nthu.edu.tw;Microprocessor Research Labs, Intel Corporation, Santa Clara, CA 95052, USA

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a new automatic data alignment model called segmented alignment. The conventional data alignment model, such as that used in High-Performance Fortran (HPF), aligns arrays with the whole index domain. The principle of our proposed segmented alignment is to allow alignment relations within delimited index domains. We first provide motivating examples to illustrate how code fragments of HPF with EOSHIFT or CSHIFT operations, or produced by synthesis operations can benefit from our enhanced alignment scheme. Second, we show that this new model can be implemented in HPF-like languages by adding WHEN and IN constructs to them. In addition, we show that the new proposed schemes for WHEN and IN constructs can be emulated using standard HPF syntax. Finally, we address issues related to automatic data alignment for the new proposed model, and present an algorithm to automatically align programs using our segmented alignment scheme. Since the optimal algorithm to do this is NP-hard, a practical heuristic is also given. Our experiments were performed on a DEC Alpha Farm with HPF environments. Our experiments confirm our theory that our proposed alignment scheme can significantly enhance not only the performance of HPF code fragments with EOSHIFT or CSHIFT operations, but also that of codes produced by synthesis operations.