M
Massoud Pedram
Researcher at University of Southern California
Publications - 812
Citations - 25236
Massoud Pedram is an academic researcher from University of Southern California. The author has contributed to research in topics: Energy consumption & CMOS. The author has an hindex of 77, co-authored 780 publications receiving 23047 citations. Previous affiliations of Massoud Pedram include University of California, Berkeley & Syracuse University.
Papers
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Proceedings ArticleDOI
An Energy-Efficient, Yet Highly-Accurate, Approximate Non-Iterative Divider
TL;DR: A highly accurate and energy efficient non-iterative divider, which uses multiplication as its main building block, and the efficacy of the proposed divider structure is assessed by comparing its design parameters and accuracy with state-of-the-art, non- iterative approximate dividers as well as exact dividers in 45nm digital CMOS technology.
Proceedings ArticleDOI
Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles
TL;DR: A dynamic PV array reconfiguration technique with structural support and a dynamic programming-based algorithm with polynomial time complexity to produce the near-optimal reconfigurations of the PV array on the HEV is presented.
Journal ArticleDOI
Low-power sequential circuit design using T flip-flops
Xunwei Wu,Massoud Pedram +1 more
TL;DR: In this paper, T flip-flops are used to reduce the triggering action of the master clock to flipflops during T = 0 to reduce power dissipation in sequential circuits.
Journal ArticleDOI
SystemVerilog Modeling of SFQ and AQFP Circuits
TL;DR: SystemVerilog models for SFQ and AQFP gates and the circuits that interface between them offer a generalizable modular debugging platform, are elegant and conceptual, and can capture many circuit parameters, environmental effects, and advanced SCE phenomena.
Journal ArticleDOI
Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures
TL;DR: The output quality of the X-CGRA is manageable at the run-time for better performance and power/energy consumption tradeoffs and its use for accelerating both error-resilient and error-sensitive applications.