Dynamic Memory Management in the Loci Framework

Yang Zhang, Edward A. Luke

Abstract


Resource management is a critical concern in high-performance
computing software. While management of processing resources to
increase performance is the most critical, efficient management of
memory resources plays an important role in solving large problems.
This paper presents a dynamic memory management scheme for a
declarative high-performance data-parallel programming system—the Loci framework. In such systems, some sort of automatic
resource management is a requirement. We present an automatic memory
management scheme that provides good compromise between memory
utilization and speed. In addition to basic memory management,
we also develop methods that take advantages of the cache memory
subsystem and explore balances between memory utilization and
parallel communication costs.

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