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ULP-SRP: Ultra Low-Power Samsung Reconfigurable Processor for Biomedical Applications

Published: 03 September 2014 Publication History

Abstract

The latest biomedical applications require low energy consumption, high performance, and wide energy-performance scalability to adapt to various working environments. In this study, we present ULP-SRP, an energy-efficient reconfigurable processor for biomedical applications. ULP-SRP uses a Coarse-Grained Reconfigurable Array (CGRA) for high-performance data processing with low energy consumption. We adopted a compact-size CGRA and modified it to support dynamically switchable three performance modes with fine-grained power gating in order to further optimize the energy consumption. The energy-performance scalability is also accomplished with multiple performance modes and a Unified Memory Architecture (UMA). Experimental results show that ULP-SRP achieved 59% energy reduction compared to previous works. A technique of dynamic CGRA mode changing gives 18.9% energy reduction. ULP-SRP is a good candidate for future mobile healthcare devices.

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    cover image ACM Transactions on Reconfigurable Technology and Systems
    ACM Transactions on Reconfigurable Technology and Systems  Volume 7, Issue 3
    Special Issue on 11th International Conference on Field-Programmable Technology (FPT'12) and Special Issue on the 7th International Workshop on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC'12)
    August 2014
    199 pages
    ISSN:1936-7406
    EISSN:1936-7414
    DOI:10.1145/2664590
    Issue’s Table of Contents
    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 the author(s) 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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 September 2014
    Accepted: 01 March 2014
    Revised: 01 December 2013
    Received: 01 July 2013
    Published in TRETS Volume 7, Issue 3

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    Author Tags

    1. Wireless sensor node
    2. biomedical
    3. coarse grained
    4. low power
    5. power gating
    6. reconfigurable processor

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    Cited By

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    • (2024)SAT-Based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAsACM Journal on Emerging Technologies in Computing Systems10.1145/366367520:3(1-26)Online publication date: 22-May-2024
    • (2024)R-Blocks: an Energy-Efficient, Flexible, and Programmable CGRAACM Transactions on Reconfigurable Technology and Systems10.1145/365664217:2(1-34)Online publication date: 8-Apr-2024
    • (2024)GREEN: An Approximate SIMD/MIMD CGRA for Energy-Efficient Processing at the EdgeIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2024.338334943:10(2874-2887)Online publication date: 1-Oct-2024
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    • (2023)Improving Energy Efficiency of CGRAs with Low-Overhead Fine-Grained Power DomainsACM Transactions on Reconfigurable Technology and Systems10.1145/355839416:2(1-28)Online publication date: 2-Apr-2023
    • (2023)Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded SystemsIEEE Transactions on Computers10.1109/TC.2023.325750472:9(2548-2560)Online publication date: 1-Sep-2023
    • (2023)FLEX: Introducing FLEXible Execution on CGRA with Spatio-Temporal Vector Dataflow2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)10.1109/ICCAD57390.2023.10323612(1-9)Online publication date: 28-Oct-2023
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