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Timing-Driven Bipartitioning with Replication Using Iterative Quadratic Programming
Wanchai, Hong Kong January 18-January 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASPDAC.1999.759724Asia and South Pacific Design Automat ...
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Shihliang Ou, University of Southern California, Los Angeles
Massoud Pedram, University of Southern California, Los Angeles
We present an algorithm for solving a general min-cut, two-way partitioning problem subject to timing constraints. The problem is formulated as a constrained programming problem and solved in two phases: cut-set minimization and timing satisfaction. A mathematical programming technique based on iterative quadratic programming (TPIQ) is used to find an approximate solution to the constrained problem. When the timing constraints are too strict to have a feasible solution, node replication is used to satisfy the constraints. Experimental results on ISCAS89 benchmark suite show that TPIQ can solve the timing-driven bipartitioning problem with little impact on the chip size.
Citation:
Shihliang Ou, Massoud Pedram, "Timing-Driven Bipartitioning with Replication Using Iterative Quadratic Programming," asp-dac, pp.105, Asia and South Pacific Design Automation Conference 1999 (ASP-DAC'99), 1999
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