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
Design and application of multimodal power gating structures
Ehsan Pakbaznia,Massoud Pedram +1 more
TL;DR: A tri-modal switch cell is presented that enables implementation of multimodal power gating, including active, data- retentive drowsy, and deep sleep modes, and an additional low leakage data-retentive mode.
Journal ArticleDOI
POLAR: A Pipelined/Overlapped FPGA-Based LSTM Accelerator
TL;DR: A low resource utilization field-programmable gate array (FPGA)-based long short-term memory (LSTM) network architecture for accelerating the inference phase is presented, which has low-power and high-speed features that are achieved through overlapping the timing of the operations and pipelining the datapath.
Proceedings ArticleDOI
Enhancing efficiency and robustness of a photovoltaic power system under partial shading
TL;DR: Three methods to enhance the PV system efficiency and robustness under partial shading are proposed, including incorporation of a HEES (hybrid electrical energy storage) system into the PV System, extension of the MPTT (maximum power transfer tracking) approach, and dynamic PV module reconfiguration.
Journal ArticleDOI
Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays
TL;DR: This paper introduces the first OLED power saving technique that dynamically changes the supply voltage of the panel, and provides an online color compensation algorithm using the luminance histogram, which achieves resource minimization.
Proceedings ArticleDOI
Versatile high-fidelity photovoltaic module emulation system
TL;DR: This paper provides an accurate parameter characterization methodology with nonlinear curve fitting to minimize the model discrepancy over the entire operating range and Experimental results show significant improvement in the emulation accuracy.