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
An optimization framework for data centers to minimize electric bill under day-ahead dynamic energy prices while providing regulation services
TL;DR: A two-tier hierarchical solution is presented for the data center controller, which achieves optimality in minimizing the overall cost with polynomial time complexity.
Proceedings ArticleDOI
Sequence compaction for probabilistic analysis of finite-state machines
TL;DR: Large compaction ratios of orders of magnitude can be obtained without a significant loss in the accuracy of estimated values and the proposed approach relies on adaptivemodeling of binary input streams as Markov sources of fixed-order.
Journal ArticleDOI
TEI-NoC: Optimizing Ultralow Power NoCs Exploiting the Temperature Effect Inversion
TL;DR: This paper focuses on ULP NoCs, and presents a new power management method that exploits delay versus temperature characteristics of ULP circuits, and demonstrates that TEI-aware NoC achieves an average of 36.0% power reduction over 21 applications.
Proceedings ArticleDOI
Robust neuromorphic computing in the presence of process variation
TL;DR: The results of the study reveal that using the proposed framework provides, on average, 17X higher output accuracy compared to the cases that the impact of the process variation is not considered at all.
Proceedings ArticleDOI
Dynamic voltage and frequency management based on variable update intervals for frequency setting
Mehrdad Najibi,Mostafa E. Salehi,A. Afzali Kusha,Massoud Pedram,S.M. Fakhraie,Hossein Pedram +5 more
TL;DR: An efficient adaptive method to perform dynamic voltage and frequency management (DVFM) for minimizing the energy consumption of microprocessor chips is presented and leads to power savings of up to 60% for highly correlated workloads compared to DVFM systems based on fixed update intervals.