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Field programmable gate arrays (FPGA) have become solutions of choice for embedded applications with small to medium production numbers. As a result, good CAD tools to support their use are in demand. This paper presents a solution to the FPGA placement problem. Some of the best solutions to date use iterative improvement heuristics such as simulated annealing. However,the run-times of these stochastic...
Placement is one of the most time-consuming processes in automatically synthesizing and configuring circuits for field programmable gate arrays (FPGAs). In this paper, we present a hardware-accelerated iterative-improvement algorithm for performing placement. The design and evaluation of the accelerated algorithm is presented. Initial results indicate speedups of 3.5 times of hardware over software...
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