Another view on parallel speedup
Xian‐He Sun, Lionel M. Ni
Abstract
Xian‐He Sun, Lionel M. Ni
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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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