DocumentCode :
3607147
Title :
An Evolutionary Algorithm for Netlist Partitioning Targeting 3-D FPGAs
Author :
Maragos, Konstantinos ; Siozios, Kostas ; Soudris, Dimitrios
Author_Institution :
Sch. of ECE, Nat. Tech. Univ. of Athens, Athens, Greece
Volume :
7
Issue :
4
fYear :
2015
Firstpage :
117
Lastpage :
120
Abstract :
Three-dimensional (3-D) chip stacking is considered as the silver bullet technology to preserve Moore´s momentum and fuel the next wave of consumer electronics. However, the benefits of such an integration technology have not yet been explored due to limitations posed mostly by the lack of efficient tools to support application mapping onto these devices. This letter introduces a framework based on a genetic algorithm for netlist partitioning targeting 3-D reconfigurable platforms. Experimental results prove the efficiency of our solution, as we achieve average reduction of the number of utilized through-silicon vias (TSVs) up to 17% for comparable performance metrics against relevant state-of-the-art algorithms.
Keywords :
field programmable gate arrays; genetic algorithms; three-dimensional integrated circuits; 3D FPGA; Moore momentum preservation; TSV; evolutionary algorithm; field programmable gate array; genetic algorithm; netlist partitioning; three-dimensional chip stacking; through-silicon vias; Algorithm design and analysis; Benchmark testing; Biological cells; Field programmable gate arrays; Partitioning algorithms; Through-silicon vias; Very large scale integration; Genetic algorithms; partitioning algorithms; three-dimensional integrated circuits;
fLanguage :
English
Journal_Title :
Embedded Systems Letters, IEEE
Publisher :
ieee
ISSN :
1943-0663
Type :
jour
DOI :
10.1109/LES.2015.2482902
Filename :
7279076
Link To Document :
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