Article ID Journal Published Year Pages File Type
496370 Applied Soft Computing 2012 11 Pages PDF
Abstract

A hardware/software platform for intrinsic evolvable hardware is designed and evaluated for digital circuit design and repair on Xilinx Field Programmable Gate Arrays (FPGAs). Dynamic bitstream compilation for mutation and crossover operators is achieved by directly manipulating the bitstream using a layered framework. Experimental results on a case study have shown that benchmark circuit evolution from an unseeded initial population, as well as a complete recovery of a stuck-at fault is achievable using this platform. An average of 0.47 μs is required to perform the genetic mutation, 4.2 μs to perform the single point conventional crossover, 3.1 μs to perform Partial Match Crossover (PMX) as well as Order Crossover (OX), 2.8 μs to perform Cycle Crossover (CX), and 1.1 ms for one input pattern intrinsic evaluation. These represent a performance advantage of three orders of magnitude over the JBITS software framework and more than seven orders of magnitude over the Xilinx design tool driven flow for realizing intrinsic genetic operators on Xilinx Virtex Family devices.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► A platform for intrinsic evolvable hardware is designed and evaluated for digital circuit design and repair on FPGAs. ► Dynamic bitstream compilation for mutation and crossover operators is achieved by directly manipulating the bitstream. ► Substantial performance advantage over other frameworks for realizing intrinsic genetic operators on FPGAs.

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Physical Sciences and Engineering Computer Science Computer Science Applications
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