Measuring the scalability of parallel computer systems
J. R. Zirbas, D. J. Reble, Randy E. VanKooten
Abstract
Open-access reader
J. R. Zirbas, D. J. Reble, Randy E. VanKooten
Abstract
Open-access reader
This paper discusses scalability and outlines a specific approach to measuring the scalability of parallel computer systems. The relationship between scalability and speedup is described. It is shown that a parallel system is scalable for a given algorithm if and only if its speedup is unbounded. A technique is proposed that can be used to help determine whether a candidate model is correct, that is, whether it adequately approximates the system's scalability. Experimental results illustrate this technique for both a poorly scalable and a very scalable system.
OpenAlex reports 20 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.
This paper discusses scalability and outlines a specific approach to measuring the scalability of parallel computer systems. The relationship between scalability and speedup is described. It is shown that a parallel system is scalable for a given algorithm if and only if its speedup is unbounded. A technique is proposed that can be used to help determine whether a candidate model is correct, that is, whether it adequately approximates the system's scalability. Experimental results illustrate this technique for both a poorly scalable and a very scalable system.
Key concepts: Scalability, Speedup, Computer science, Parallel computing, Parallel processing, Distributed computing, Operating system