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Neuromorphic Controller for Low Power Systems From Devices to Circuits

Abstract A workload-aware low-power neuromorphic controller for dynamic power and thermal management in VLSI systems is presented. The neuromorphic controller predicts future workload and temperature values based on the past values and CPU performance counters and preemptively regulates supply voltage and frequency. System-level measurements from stateof-the-art commercial microprocessors are used to get workload, temperature and CPU performance counter values. The controller is designed and simulated using circuit-design and synthesis tools. At device-level, on-chip planar inductors suffer from low inductance occupying large chip area. On-chip inductors with integrated magnetic materials are designed, simulated and fabricated to explore performance... (more)
Created Date 2011
Contributor Sinha, Saurabh (Author) / Cao, Yu (Advisor) / Bakkaloglu, Bertan (Committee member) / Yu, Hongbin (Committee member) / Christen, Jennifer B. (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / DVFS / magnetic materials / microprocessor / neuromorphic / on-chip inductors / power converters
Type Doctoral Dissertation
Extent 99 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Electrical Engineering 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis