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Compiler optimizations for I/O-intensive computations

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3 Author(s)
Kandemir, M. ; Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA ; Choudhary, A. ; Ramanujam, J.

This paper describes transformation techniques for out-of-core programs (i.e., those that deal with very large quantities of data) based on exploiting locality using a combination of loop and data transformations. Writing efficient out-of-core program is an arduous task. As a result, compiler optimizations directed at improving I/O performance are becoming increasingly important. We describe how a compiler can improve the performance of the code by determining appropriate file layouts for out-of-core arrays and finding suitable loop transformations. In addition to optimizing a single loop nest, our solution can handle a sequence of loop nests. We also show how to generate code when the file layouts are optimized. Experimental results obtained on an Intel Paragon distributed-memory message-passing multiprocessor demonstrate marked improvements in performance due to the optimizations described in this paper

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Parallel Processing, 1999. Proceedings. 1999 International Conference on

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