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A Framework for Performing Fault-Tolerant Placement Based on Genetic Algorithm
 
D. Diamantopoulos, K. Siozios, and D. Soudris
Workshop on Reconfigurable Computing (WRC), Jan. 2013, Berlin, Germany.
 
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Abstract:
Fault-tolerance is a crucial challenge for a number of application domains. Existing solutions to this problem are applied uniformly at the entire design imposing among others mentionable delay and power overheads. In this paper we introduce a software-supported framework based on genetic algorithm for supporting fast application placement under fault-tolerant constraints. Rather than relevant placers that are executed sequentially, the proposed one exhibits inherent parallelism, which can benefit from multi-core processors. Experimental results with various benchmarks showed that our framework leads to an average reduction of execution run-time by 6.3x with an increase in maximum operating frequency by 12% (on average).

Last Update: 09 October 2016