New visual characterization graphs for memory system analysis and evaluation

Edson T. MidorikawaHugo Henrique Cassettari

The characterization of workloads used in memory systems analysis and evaluation is important to detect factors in programs which may or may not favor the performance of each potential system configuration. In this paper, by suggesting the use of simple and functional graphs, we demonstrate that it is possible to visually get, with considerable precision, a number of relevant information about memory access characteristics. The new proposed graphs are useful both to document related experiments, in terms of memory access patterns and locality of references in workloads, and to foresee the performance of distinct memory systems. Applications of locality analysis include the improvement upon algorithms for memory management and techniques for program optimization.

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