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Beginning with Amdahl's law, we derive a general objective function that links parallel processing performance gains at the system level, to energy and delay in the sub-system microarchitecture structures. The objective function employs parameterized models of computation and communication to represent the characteristics of processors, memories, and communications networks. The interaction of the latter microarchitectural elements defines global system performance in terms of energy-delaydoi:10.1109/tc.2011.169 fatcat:qlgfx257hjandkit22v3wmnzyq