Browsing by Author Kang, Chang Woo
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Coarse-grained, antifuse-based FPGAs have emerged as a compelling technology to minimize the performance gaps between FPGAs and ASICs in area, speed, and power dissipation. As the FPGA architectures prefer large, programmable logic blocks, efficient clustering algorithms are vital to make use of the benefits from those advanced architectures. Circuit clustering is an important technique for coarse-grained FPGAs. First, clustering can reduce the complexity of large circuit designs by a significant factor. Second, clustering can improve the quality of the results of other operations such as placement and routing. In this dissertation, clustering techniques for area, delay, and power d...