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Traditional speedup models, such as Amdahls, facilitate the study of the impact of running parallel workloads on manycore systems. However, these models are typically based on software characteristics, assuming ideal hardware behaviors. As such, the applicability of these models for energy and/or performance-driven system optimization is limited by two factors. Firstly, speedup cannot be measured...
Continued technology scaling in VLSI has enabled more and more computation cores to be integrated in the same chip. This has facilitated the parallelization of processing and the increase of performance whilst keeping energy consumption at reasonable levels. To study the potential improvement of performance in such many core systems, three existing models have been popular in both the research community...
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