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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

An interleaved dual-battery power supply for battery-operated electronics

TL;DR: In this paper, the design principles and architecture of a dual-battery power supply system for portable electronics is described, and the key idea is to integrate two battery types with different energy capacity and current rate curves into the power supply, and then use them in an interleaved manner in response to varying current requirement of the VLSI circuit that is powered by this dual battery system.
Proceedings ArticleDOI

A semi-Markovian decision process based control method for offloading tasks from mobile devices to the cloud

TL;DR: The mobile device is modeled as a semi-Markov decision process (SMDP) and the optimization problem to set the DVFS level and the transmission rate is effectively solved by linear programming combined with a one-dimensional heuristic search.
Journal ArticleDOI

Charge Allocation in Hybrid Electrical Energy Storage Systems

TL;DR: This paper is the first to formally describe the global charge allocation problem in HEES systems, namely, distributing a specified level of incoming power to a subset of destination EES banks so that maximum charge allocation efficiency is achieved.
Proceedings ArticleDOI

Reducing the Sub-threshold and Gate-tunneling Leakage of SRAM Cells using Dual-Vt and Dual-Tox Assignment

TL;DR: Simulation results with a 65 nm process demonstrate that this technique can reduce the total leakage power dissipation of a 64 Kb SRAM by more than 50% and incurs neither area nor delay overhead.
Proceedings ArticleDOI

DTM: dynamic tone mapping for backlight scaling

TL;DR: The proposed dynamic backlight scaling approach, which is based on tone mapping, is amenable to highly efficient hardware realization because it does not need information about the histogram of the displayed image.