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Variability-aware architecture level optimization techniques for robust nanoscale chip design
Authors:Saraju P. Mohanty  Mahadevan Gomathisankaran  Elias Kougianos
Affiliation:1. NanoSystem Design Laboratory (NSDL), Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA1;2. Trusted Secure Systems Laboratory (TSSL), Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA2;3. Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA;4. Department of Engineering Technology, University of North Texas, Denton, TX 76207, USA
Abstract:The design space for nanoscale CMOS circuits is vast, with multiple dimensions corresponding to process variability, leakage, power, thermal, reliability, security, and yield considerations. These design issues in the form of either objectives or constraints can be handled at various levels of digital design abstraction, such as architectural, logic and transistor. At the architectural level (a.k.a. Register-Transfer Level, RTL), there is a balanced degree of freedom for fast design exploration by exploring various values of design parameters. Correct design decisions at an early phase of the design cycle ensure that design errors are not propagated to lower levels of circuit abstraction, where it is costly to correct them. Moreover, design optimization at higher levels of abstraction provides a convenient way to deal with design complexity, facilitates design verification, and increases design reuse through intellectual property (IP) cores.
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