An increasing number of programming languages, such as Fortran 90 and APL, are providing a rich set of intrinsic array functions and array expressions. These constructs which constitute an important part of data parallel languages provide excellent opportunities for compiler optimizations. In this paper, we present a new approach to combine consecutive data access patterns of array constructs into a composite access function to the source arrays. Our scheme is based on the composition of access functions, which is similar to a composition of mathematic functions. Our new scheme can handle not only data movements of arrays of different numbers of dimensions and segmented array operations but also masked array expressions and multiple sources array operations. As a result, our proposed scheme is the first synthesis scheme which can synthesize Fortran 90 RESHAPE, EOSHIFT, MERGE, and WHERE constructs together. Experimental results show speedups from 1.21 to 2.95 for code fragments from real applications on a Sequent multiprocessor machine by incorporating the proposed optimizations.
|出版狀態||已發佈 - 1995|
|事件||Proceedings of the 5th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming - Santa Barbara, CA, USA|
持續時間: 1995 7月 19 → 1995 7月 21
|其他||Proceedings of the 5th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming|
|城市||Santa Barbara, CA, USA|
|期間||1995/07/19 → 1995/07/21|
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