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<p><b>Abstract</b>—Parallel computing scalability evaluates the extent to which parallel programs and architectures can effectively utilize increasing numbers of processors. In this paper, we compare a group of existing scalability metrics and evaluation models with an experimental metric which uses network latency to measure and evaluate the scalability of parallel programs and architectures. To provide insight into dynamic system performance, we have developed an integrated software environment prototype for measuring and evaluating multiprocessor scalability performance, called Scale-Graph. Scale-Graph uses a graphical instrumentation monitor to collect, measure and analyze latency-related data, and to display scalability performance based on various program execution patterns. The graphical software tool is X-window based and currently implemented on standard workstations to analyze performance data of the KSR-1, a hierarchical ring-based shared-memory architecture.</p>
Latency analysis, parallel computing scalability, performance graphical presentation, software tools, KSR multiprocessors.

X. Zhang, Y. Yan and Q. Ma, "Software Support for Multiprocessor Latency Measurement and Evaluation," in IEEE Transactions on Software Engineering, vol. 23, no. , pp. 4-16, 1997.
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