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FVCAG: A framework for formal verification driven power modeling and verification

Published: 08 August 2016 Publication History
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  • Abstract

    Generation of accurate IP power models requires determination of correct simulation conditions for the different input pins of the IP. Determining such a set of inputs for individual IP blocks in a design is expensive in cost and time, and is also highly error prone. Additionally, it is desirable to identify IP instances in a design, where these simulation conditions are not met. These are relevant problems in the context of modern day microprocessor designs, which are designed using a very large number of IPs, either developed in-house or sourced from external vendors. In this paper, we examine these problems in an industrial context and introduce FVCAG, a framework for enabling efficient and accurate power modelling. FVCAG enables a more thorough IP power modelling than that can be accomplished using current state of the art techniques. Experimental evaluation of the proposed framework on the standard cell library and macros used in the design of an industry class high performance microprocessor design demonstrates the accuracy and efficiency of proposed framework.

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    • (2019)Heterogeneity aware power abstractions for dynamic power dominated FinFET‐based microprocessorsIET Computers & Digital Techniques10.1049/iet-cdt.2019.003113:6(524-531)Online publication date: 4-Sep-2019

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    1. FVCAG: A framework for formal verification driven power modeling and verification

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        cover image ACM Conferences
        ISLPED '16: Proceedings of the 2016 International Symposium on Low Power Electronics and Design
        August 2016
        392 pages
        ISBN:9781450341851
        DOI:10.1145/2934583
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 08 August 2016

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        Author Tags

        1. IP characterization
        2. Power modelling
        3. formal verification
        4. microprocessor design
        5. power abstraction
        6. simulation

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        ISLPED '16
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        ISLPED '16: International Symposium on Low Power Electronics and Design
        August 8 - 10, 2016
        CA, San Francisco Airport, USA

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        ISLPED '16 Paper Acceptance Rate 60 of 190 submissions, 32%;
        Overall Acceptance Rate 398 of 1,159 submissions, 34%

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        • (2019)Heterogeneity aware power abstractions for dynamic power dominated FinFET‐based microprocessorsIET Computers & Digital Techniques10.1049/iet-cdt.2019.003113:6(524-531)Online publication date: 4-Sep-2019

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