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.
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Proceedings ArticleDOI
Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems
TL;DR: This paper proposes an HEES system that consists of two or more heterogeneous EES elements, thereby realizing the advantages of each EES element while hiding their weaknesses, and provides a systematic solution for a single source and single destination charge migration.
Proceedings ArticleDOI
Cycle-accurate macro-models for RT-level power analysis
TL;DR: In this paper, the authors present a methodology and techniques for generating cycle-accurate macro-models for RT-level power analysis, which consists of three steps: module equation form generation and variable selection, variable reduction and population stratification.
Journal ArticleDOI
BZ-FAD: A Low-Power Low-Area Multiplier Based on Shift-and-Add Architecture
TL;DR: A low-power structure called bypass zero, feed A directly (BZ-FAD) for shift-and-add multipliers is proposed, which considerably lowers the switching activity of conventional multipliers.
Journal ArticleDOI
Cycle-accurate macro-models for RT-level power analysis
TL;DR: The proposed macro-model predicts not only the cycle-by-cycle power consumption of a module, but also the moving average of power consumption and the power profile of the module over time.
Proceedings ArticleDOI
Analysis and Synthesis of Quantum Circuits by Using Quantum Decision Diagrams
Afshin Abdollahi,Massoud Pedram +1 more
TL;DR: The paper introduces the notion of quantum factored forms and presents a canonical and concise representation of quantum logic circuits in the form of quantum decision diagrams (QDD's), which are amenable to efficient manipulation and optimization including recursive unitary functional bi-decomposition.