A fragmentation aware High-Level Synthesis flow for low power heterogenous datapaths

  • Authors:
  • Alberto A. Del Barrio;Seda Ogrenci Memik;MaríA C. Molina;José M. MendíAs;RomáN Hermida

  • Affiliations:
  • Department of Computer Architecture and Automation, Computer Science Faculty, Complutense University of Madrid, José Santesmases sn, 28040 Madrid, Spain;Department of EECS, Tech. Building, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, United States;Department of Computer Architecture and Automation, Computer Science Faculty, Complutense University of Madrid, José Santesmases sn, 28040 Madrid, Spain;Department of Computer Architecture and Automation, Computer Science Faculty, Complutense University of Madrid, José Santesmases sn, 28040 Madrid, Spain;Department of Computer Architecture and Automation, Computer Science Faculty, Complutense University of Madrid, José Santesmases sn, 28040 Madrid, Spain

  • Venue:
  • Integration, the VLSI Journal
  • Year:
  • 2013

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Abstract

State of the art multi-objective synthesis flows use to degrade some parameters of the circuit while trying to optimize the target one. This paper addresses the power reduction problem in heterogeneous datapaths, while keeping a similar area and execution time with respect to the baseline case. Our specific approach first diminishes the area via fragmentation techniques and afterwards it gives it back with the introduction of Low Power Functional Units (LP-FUs) that occupy more area than their corresponding non-low power counterparts. Furthermore, a fragmentation algorithm more suitable for power reduction is proposed. Results show that it is possible to diminish power by 27% on average (49% in the best case).