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Title: Speedup for multi-level parallel computing
Authors: Tang, Shanjiang
Lee, Bu-Sung
He, Bingsheng
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Tang, S., Lee, B.-S., & He, B. (2012). Speedup for Multi-Level Parallel Computing. 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 537-546.
Abstract: This paper studies the speedup for multi-level parallel computing. Two models of parallel speedup are considered, namely, fixed-size speedup and fixed-time speedup. Based on these two models, we start with the speedup formulation that takes into account uneven allocation and communication latency, and gives an accurate estimation. Next, we propose a high-level abstract case with providing a global view of possible performance enhancement, namely E-Amdahl's Law for fixed-size speedup and E-Gustafson's Law for fixed-time speedup. These two laws demonstrate seemingly opposing views about the speedup of multi-level parallel computing. Our study illustrates that they are not contradictory but unified and complementary. The results lead to a better understanding in the performance and scalability of multi-level parallel computing. The experimental results show that E-Amdahl's Law can be applied as a prediction model as well as a guide for the performance optimization in multi-level parallel computing.
DOI: 10.1109/IPDPSW.2012.72
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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