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作 者:YANG Hui CHEN Shuming WU Tiebin
机构地区:[1]School of Computer Science, National University of Defense Technology, Changsha 410073, China
出 处:《Chinese Journal of Electronics》2013年第4期707-711,共5页电子学报(英文版)
基 金:This work is supported by the National Natural Science Foundation of China (No.61070036, No.61133007).
摘 要:Amdahl's law is a simple and fundamen- tal tool for understanding the evolution of performance as a function of parallelism. Following a recent trend on timing and power analysis of general purpose many-core chip using this law, we develop a novel PIPP analytical model for evaluating the performance and power of hier- archical on-chip large-scale parallel architectures with the core number, super-node size, processing element number, and function unit number taken into consideration. We thereby investigate the influence of workload characteris- tics (Thread-level parallel TLP, Instruction-level parallel ILP and Data-level parallel DLP) on resource allocation with the restriction of performance and power. The re- sults provide some feasible options to design TOPS level DSP architecture as well as a theoretical basis for making the design more scalable.
关 键 词:Hierarchical architecture Data-level par-allel (DLP) Thread-level parallel (TLP) Instruction-levelparallel (ILP) Model.
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