1990Conference on High Performance Computing (Supercomputing)Requires access

Another view on parallel speedup

Xian‐He Sun, Lionel M. Ni

Open publisher page 102 citations

Abstract

In this paper three models of parallel speedup are studied. They are fixed-size speedup, fixed-time speedup and memory-bounded speedup. Two sets of speedup formulations are derived for these three models. One set requires more information and gives more accurate estimation. Another set considers a simplified case and provides a clear picture of possible performance gain of parallel processing. The simplified fixed-size speedup is Amdahl's law. The simplified fixed-time speedup is Gustafson's scaled speedup. The simplified memory-bounded speedup contains both Amdahl's law and Gustafson's scaled speedup as its special cases. This study proposes a new metric for performance evaluation and leads to a better understanding of parallel processing.

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What this paper is about

In this paper three models of parallel speedup are studied. They are fixed-size speedup, fixed-time speedup and memory-bounded speedup. Two sets of speedup formulations are derived for these three models. One set requires more information and gives more accurate estimation. Another set considers a simplified case and provides a clear picture of possible performance gain of parallel processing. The simplified fixed-size speedup is Amdahl's law. The simplified fixed-time speedup is Gustafson's scaled speedup. The simplified memory-bounded speedup contains both Amdahl's law and Gustafson's scaled speedup as its special cases. This study proposes a new metric for performance evaluation and leads to a better understanding of parallel processing.

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OpenAlex reports 102 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper three models of parallel speedup are studied. They are fixed-size speedup, fixed-time speedup and memory-bounded speedup. Two sets of speedup formulations are derived for these three models. One set requires more information and gives more accurate estimation. Another set considers a simplified case and provides a clear picture of possible performance gain of parallel processing. The simplified fixed-size speedup is Amdahl's law. The simplified fixed-time speedup is Gustafson's scaled speedup. The simplified memory-bounded speedup contains both Amdahl's law and Gustafson's scaled speedup as its special cases. This study proposes a new metric for performance evaluation and leads to a better understanding of parallel processing.

Key concepts: Speedup, Parallel computing, Computer science, Bounded function, Set (abstract data type), Algorithm, Mathematics, Programming language

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