A practical scalability metric
Jun Chen, Xiaomei Li
Abstract
Jun Chen, Xiaomei Li
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.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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