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Energy reduction with run-time partial reconfiguration (abstract only)

Published: 21 February 2010 Publication History

Abstract

We study whether partial reconfiguration can be used to reduce FPGA energy consumption. In the ideal scenario, we have a hardware accelerator to accelerate certain parts of the program execution. And when the accelerator is not active, we use partial reconfiguration to unload it to reduce both static and dynamic power. However, the reconfiguration process may introduce a high energy overhead, thus it is unclear whether this approach is feasible. To approach this problem, we identify the conditions under which partial reconfiguration can be used to reduce energy consumption, and we propose solutions to minimize the configuration energy overhead. The results of our study show that by using partial reconfiguration to eliminate the power consumption of the accelerator when it is inactive, we can accelerate program execution and at the same time reduce the overall energy consumption by half.

Cited By

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  • (2022)A Parallel Reconfigurable Architecture for Scalable LVQ Neural NetworksNeural Processing Letters10.1007/s11063-022-10814-955:3(2521-2550)Online publication date: 2-May-2022
  • (2019)Programmable logic devices – key components for today’s and tomorrow’s electronic-based systemsProgrammierbare Logikbausteine – Schlüsselkomponenten für heutige und zukünftige elektronische Systemee & i Elektrotechnik und Informationstechnik10.1007/s00502-019-00781-w137:1(45-51)Online publication date: 13-Dec-2019
  • (2018)Energy Efficiency Evaluation of Dynamic Partial Reconfiguration in Field Programmable Gate Arrays: An Experimental Case StudyEnergies10.3390/en1104073911:4(739)Online publication date: 24-Mar-2018
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      Published In

      cover image ACM Conferences
      FPGA '10: Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
      February 2010
      308 pages
      ISBN:9781605589114
      DOI:10.1145/1723112

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 21 February 2010

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      Author Tags

      1. energy
      2. fpga

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      Overall Acceptance Rate 125 of 627 submissions, 20%

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      Cited By

      View all
      • (2022)A Parallel Reconfigurable Architecture for Scalable LVQ Neural NetworksNeural Processing Letters10.1007/s11063-022-10814-955:3(2521-2550)Online publication date: 2-May-2022
      • (2019)Programmable logic devices – key components for today’s and tomorrow’s electronic-based systemsProgrammierbare Logikbausteine – Schlüsselkomponenten für heutige und zukünftige elektronische Systemee & i Elektrotechnik und Informationstechnik10.1007/s00502-019-00781-w137:1(45-51)Online publication date: 13-Dec-2019
      • (2018)Energy Efficiency Evaluation of Dynamic Partial Reconfiguration in Field Programmable Gate Arrays: An Experimental Case StudyEnergies10.3390/en1104073911:4(739)Online publication date: 24-Mar-2018
      • (2018)Algorithms for reducing reconfiguration overheads using prefetch, reuse, and optimal mapping of tasksConcurrency and Computation: Practice and Experience10.1002/cpe.501933:7(1-1)Online publication date: 28-Nov-2018
      • (2017)LP-P $$^2$$ IP: A Low-Power Version of P $$^2$$ IP Architecture Using Partial ReconfigurationApplied Reconfigurable Computing10.1007/978-3-319-56258-2_2(16-27)Online publication date: 31-Mar-2017
      • (2014)Power consumption models for the use of dynamic and partial reconfigurationMicroprocessors & Microsystems10.1016/j.micpro.2014.01.00238:8(860-872)Online publication date: 1-Nov-2014
      • (2012)Moving a Processing Element from Hot to Cool SpotsGreen Communications10.1201/b13083-10(197-219)Online publication date: 8-Nov-2012
      • (2012)Power consumption model for partial and dynamic reconfiguration2012 International Conference on Reconfigurable Computing and FPGAs10.1109/ReConFig.2012.6416772(1-8)Online publication date: Dec-2012
      • (2011)Exploiting data-level parallelism for energy-efficient implementation of LDPC decoders and DCT on an FPGAACM Transactions on Reconfigurable Technology and Systems10.1145/2068716.20687234:4(1-17)Online publication date: 28-Dec-2011
      • (2011)Loop distribution for K-loops on Reconfigurable Architectures2011 Design, Automation & Test in Europe10.1109/DATE.2011.5763245(1-6)Online publication date: Mar-2011

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