On Whitespace and Stability in Mixed-Size Placement and Physical Synthesis
Saurabh Adya, Igor L. Markov, Paul G. Villarrubia
Abstract
Saurabh Adya, Igor L. Markov, Paul G. Villarrubia
Abstract
In the context of physical synthesis, large-scale standard-cell placement algorithms must facilitate incremental changes to layout, both local and global. In particular, flexible gate sizing, net buffering and detail placement require a certain amount of unused space in every region of the die. The need for "local" whitespace is further emphasized by temperature and power-density limits. Another requirement, the stability of placement results from run to run, is important to the convergence of physical synthesis loops. Indeed, logic resynthesis targetting local congestion in a given placement or particular critical paths may be irrelevant for another placement produced by the same or a different layout tool.
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In the context of physical synthesis, large-scale standard-cell placement algorithms must facilitate incremental changes to layout, both local and global. In particular, flexible gate sizing, net buffering and detail placement require a certain amount of unused space in every region of the die. The need for "local" whitespace is further emphasized by temperature and power-density limits. Another requirement, the stability of placement results from run to run, is important to the convergence of physical synthesis loops. Indeed, logic resynthesis targetting local congestion in a given placement or particular critical paths may be irrelevant for another placement produced by the same or a different layout tool.
Key concepts: Computer science, Placement, Physical design, Context (archaeology), Place and route, Stability (learning theory), Sizing, Convergence (economics)