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
EZ Encoding: A Class of Irredundant Low Power Codes for Data Address and Multiplexed Address Buses
TL;DR: This paper introduces a class of irredundant low power encoding techniques for memory address buses that decrease the switching activity of data address and multiplexed address buses by an average of 55% and 77%, respectively.
Journal ArticleDOI
Interstice: Inverter-Based Memristive Neural Networks Discretization for Function Approximation Applications
TL;DR: In this article, the accuracy of inverter-based memristive neural networks (NNs) for function approximation applications is improved under the presence of process variations by using a design approach, called INTERSTICE, which discretizes the output values by employing a classifier.
Proceedings ArticleDOI
Minimizing the energy cost of throughput in a linear pipeline by opportunistic time borrowing
TL;DR: A technique to optimize the energy-delay product of a synchronous linear pipeline circuit with dynamic error detection and correction capability running by dynamically adjusts the supply voltage level and clock frequency by exploiting slacks that are present in various stages of the pipeline.
Journal ArticleDOI
Stochastic sequential machine synthesis with application to constrained sequence generation
TL;DR: This paper presents a general procedure for SSM synthesis and describes a new framework for sequence characterization to match designers' needs for sequence generation or compaction and demonstrates that compaction ratios of 1–3 orders of magnitude can be obtained without much loss in accuracy of total power estimates.
Book
Computer-Aided Design and Optimization of Hybrid Energy Storage Systems
TL;DR: Key challenges that one faces when dealing with the optimal design and runtime management of a hybrid energy storage system targeting some specific application scenario; for example, grid-scale energy management, household peak power shaving, mobile platform power saving, and more are explained.