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A Benchmark Characterization of the EEMBC Benchmark Suite

Published: 01 September 2009 Publication History

Abstract

Benchmark consumers expect benchmark suites to be complete, accurate, and consistent, and benchmark scores serve as relative measures of performance. However, it is important to understand how benchmarks stress the processors that they aim to test. This study explores the stress points of the EEMBC embedded benchmark suite using the benchmark characterization technique.

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  • (2023)Energy efficient IPC based dual compression for endurance enhancement of NVRAM as main memory in embedded devicesIET Communications10.1049/cmu2.1262517:11(1310-1320)Online publication date: 14-May-2023
  • (2023)Cross-Layer Profiling of IoTBenchBenchmarking, Measuring, and Optimizing10.1007/978-981-97-0316-6_5(71-86)Online publication date: 3-Dec-2023
  • (2021)Domain-specific programming assistance in an embedded DSL for generating processor emulatorsProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3442000(1256-1264)Online publication date: 22-Mar-2021
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  1. A Benchmark Characterization of the EEMBC Benchmark Suite

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    Published In

    cover image IEEE Micro
    IEEE Micro  Volume 29, Issue 5
    September 2009
    67 pages

    Publisher

    IEEE Computer Society Press

    Washington, DC, United States

    Publication History

    Published: 01 September 2009

    Author Tags

    1. EEMBC
    2. benchmark characterization
    3. benchmarking
    4. embedded systems
    5. workload characterization

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    Cited By

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    • (2023)Energy efficient IPC based dual compression for endurance enhancement of NVRAM as main memory in embedded devicesIET Communications10.1049/cmu2.1262517:11(1310-1320)Online publication date: 14-May-2023
    • (2023)Cross-Layer Profiling of IoTBenchBenchmarking, Measuring, and Optimizing10.1007/978-981-97-0316-6_5(71-86)Online publication date: 3-Dec-2023
    • (2021)Domain-specific programming assistance in an embedded DSL for generating processor emulatorsProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3442000(1256-1264)Online publication date: 22-Mar-2021
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    • (2019)A Survey of Phase Classification Techniques for Characterizing Variable Application BehaviorIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2019.292978131:1(224-236)Online publication date: 17-Dec-2019
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