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An Experimental Study of Reduced-Voltage Operation in Modern FPGAsfor Neural Network Acceleration (1min)

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Short teaser of the presentation "An Experimental Study of Reduced-Voltage Operation in Modern FPGAsfor Neural Network Acceleration" by Behzad Salami at the 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020)

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An Experimental Study of Reduced-Voltage Operation in Modern FPGAsfor Neural Network Acceleration (1min)

  1. 1. An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 30th June, 2020 Behzad Salami Baturay Onural Ismail Yuksel Fahrettin Koc Oguz Ergin Adrian Cristal Osman Unsal Hamid Sarbazi-Azad Onur Mutlu
  2. 2. 2 Executive Summary • Goal: Improve the power-efficiency of FPGA-based neural networks by:  Undervolting (i.e., underscaling supply voltage) below nominal level • Evaluation Setup  5 Image classification workloads  3 Xilinx UltraScale+ ZCU102 platforms • Main Results  Large voltage guardband (i.e., 33%)  >3X power-efficiency gain • In the Main Talk  Characterization of FPGA voltage behavior and its impact on the power-reliability  Frequency underscaling  Environmental temperature
  3. 3. An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 30th June, 2020 Behzad Salami Baturay Onural Ismail Yuksel Fahrettin Koc Oguz Ergin Adrian Cristal Osman Unsal Hamid Sarbazi-Azad Onur Mutlu

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