Cluster-based architecture, timing-driven packing and timing-driven placement for FPGAs

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As process geometries shrink into the deep-submicron region, interconnect resistance and capacitance account for an increasingly significant portion of the delay of circuits implemented in Field-Programmable Gate Arrays (FPGAs). One way to improve FPGA speed is to employ logic-cluster-based architectures which have high-speed local connections among groups of logic elements. In this work we show what size logic- cluster results in the best area-speed trade-off. To obtain the best choices for a cluster-based architecture, we use computer aided design (CAD) tools to experimentally evaluate architectures with different sized logic clusters. As part of this CAD flow, we develop a timing-driven algorithm that packs logic elements into these clusters. In addition, we develop a timing-driven placement algorithm that results in significant improvements in FPGA speed over existing non-timing-driven algorithms.

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grantor: University of Toronto

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