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
Physical design and synthesis (panel): merge or die!
Richard Bushroe,Massoud Pedram,Raul Camposano,Giovanni De Micheli,Antun Domic,Chi-Ping Hsu,Michael Jackson +6 more
TL;DR: This panel of experts will address the current split between logic synthesis and physical design and its effect on the design flow and discuss possibilities formerging the two, or at least bringing them closer together.
Journal ArticleDOI
Therminator 2: A Fast Thermal Simulator for Portable Devices
TL;DR: Therminator 2 is presented, an early stage, fast, full-device thermal analyzer, which generates accurate transient- and steady-state temperature maps of an entire smartphone starting from the application processor and other key device components, extending to the skin of the device itself.
Proceedings ArticleDOI
Software-Only Bus Encoding Techniques for an Embedded System
TL;DR: A software-only encoding technique is proposed to reduce the power consumption of the processor-memory bus when displaying an image on the LCD using the palette as a coding table for the pixel buffer and reassign the codes according to the image characteristics.
Proceedings ArticleDOI
Resilient dynamic power management under uncertainty
Hwisung Jung,Massoud Pedram +1 more
TL;DR: Simulation results show that, compared to the worst-case PVT conditions, the proposed DPM technique ensures energy efficiency, while reducing the uncertain behaviors of the system.
Proceedings ArticleDOI
An optimal control policy in a mobile cloud computing system based on stochastic data
TL;DR: It is proved that the best-suited control decisions should change as time elapses to take into account the effect of ICI length variations, and a dynamic programming algorithm is proposed, which can derive the optimal control policy of the mobile device to maximize the expected performance sum.