Supercomputers need not only to have fast functional units, but also to have rapid access to massive quantities of data. Virtual memory paging and physically distributed memory systems both attempt to provide this large data space, but performance of a computer system using either memory organization is highly dependent on the page reference pattern and the number of pages available locally. Despite this, surprisingly little work has been done toward using the compiler to optimize memory system performance. In this paper, we introduce compiler techniques which use a combination of data layout and code transformation to improve paging performance for compiled programs. These same techniques can also be applied manually to improve performance using existing compilers.


Compilers, Paging, Data Layout, Code Transformation.

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