Title :
Power management for FPGAs: power-driven design partitioning
Author :
Mukherjee, Rajarshi ; Memik, Seda Ogrenci
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
Abstract :
In order to enable efficient integration of FPGAs into cost effective and reliable high-performance systems as well potentially into low power mobile systems, their power efficiency needs to be improved. This paper proposes a power management scheme for FPGAs centered on the power-driven partitioning technique. Power-driven partitioner create clusters within the a design such that within individual clusters, power consumption can be improved via voltage scaling. The aim is to identify subgraphs/partitions in a design, such that the total power consumption is minimised while resource constraints associated with the partitioning problem are satisfied.
Keywords :
field programmable gate arrays; low-power electronics; optimisation; power consumption; scaling circuits; FPGA; power consumption; power driven design partitioning; power management; power optimization; subgraph-partition identification; voltage scaling; Clustering algorithms; Delay; Dynamic voltage scaling; Energy consumption; Energy management; Field programmable gate arrays; Partitioning algorithms; Power system management; Power system reliability; Timing;
Conference_Titel :
Field-Programmable Custom Computing Machines, 2004. FCCM 2004. 12th Annual IEEE Symposium on
Print_ISBN :
0-7695-2230-0
DOI :
10.1109/FCCM.2004.45