Modern VLSI Placement Observing Technology Constraints

Date
2017
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Abstract
The placement process is a key step in physical design as it directly impacts circuit performance, area, power consumption, reliability, and the quality of other steps, such as routing, in the physical design flow. The placement problem has become ever more complex and challenging due to a wide variety of intricate constraints and design rules imposed by modern technology processes on the Very Large Scale Integration (VLSI) design process. Any constraint not only makes the placement problem challenging; but also can degrade the quality of the objectives optimized during the placement process or other steps in the physical design flow. In addition, with increases in complicated constraints and in the number of circuit components, the runtime and scalability of algorithms used in the placement process has become critical. In this thesis, a high-performance modern technology-driven placer called Eh?Placer is presented to address the challenges rising in modern technology processes. Eh?Placer is a comprehensive placement framework that provides solutions while observing modern technology constraints and routability, and optimizing wire length. Addressing the sheer number of circuit components using parallel computing methods makes Eh?Placer one of the fastest placement tools. In addition to Eh?Placer, a robust and fast legalization framework developed for standard-cell placement is presented. The proposed framework effectively legalizes input placements while minimizing the maximum and average cell movements using a novel global network-flow based approach. In addition, the developed legalizer is the only network flow based approach to observe modern technology constraints. In contrast to the traditional network flow based legalizers, areas with high cell utilization are legalized by finding several candidate paths where there is no need for the post-process step. The proposed legalizer is scalable and robust with respect to the floorplan complexity.
Description
Keywords
Computer Science, Engineering--Electronics and Electrical
Citation
Karimpour Darav, N. (2017). Modern VLSI Placement Observing Technology Constraints (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26969