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A practical scalability metric

Jun Chen, Xiaomei Li

Open publisher page 3 citations

Abstract

We use the near-optimal scalability metric to analyze a large-scale application program. Results obtained from a 32-processor cluster system show that the near-optimal scalability metric provides an approach to predict how many processors the larger problem can run on at a reasonable utility.

About this research paper

What this paper is about

We use the near-optimal scalability metric to analyze a large-scale application program. Results obtained from a 32-processor cluster system show that the near-optimal scalability metric provides an approach to predict how many processors the larger problem can run on at a reasonable utility.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We use the near-optimal scalability metric to analyze a large-scale application program. Results obtained from a 32-processor cluster system show that the near-optimal scalability metric provides an approach to predict how many processors the larger problem can run on at a reasonable utility.

Key concepts: Scalability, Metric (unit), Computer science, Cluster (spacecraft), Parallel computing, Scale (ratio), Distributed computing, Performance metric

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