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A Novel Genetic Algorithm for I/O Pad Planning Retaining Former Cell Positions
dc.creator | Kranas G.K., Kouskouras T.G., Dimitriadis V., Dossis M., Oikonomou P., Dadaliaris A.N. | en |
dc.date.accessioned | 2023-01-31T08:47:01Z | |
dc.date.available | 2023-01-31T08:47:01Z | |
dc.date.issued | 2020 | |
dc.identifier | 10.1109/SEEDA-CECNSM49515.2020.9221794 | |
dc.identifier.isbn | 9781728164458 | |
dc.identifier.uri | http://hdl.handle.net/11615/75504 | |
dc.description.abstract | In a typical integrated circuit (IC) design flow, each step is executed sequentially, and valuable feedback is provided that can be utilized if we are forced to backtrack as a means to resolve problems or satisfy design constraints and restrictions. Following a similar logic, the objective of our algorithm is to plan the I/O pad positions, based on back-annotated data gathered from a formerly placed similar design, concerning the cell connectivity and positioning, in order to minimize the total wirelength, a critical metric defining the routability, and thus the manufacturability of a design. Our approach results in the embetterment of the wirelength at an acceptable runtime. © 2020 IEEE. | en |
dc.language.iso | en | en |
dc.source | SEEDA-CECNSM 2020 - 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095598818&doi=10.1109%2fSEEDA-CECNSM49515.2020.9221794&partnerID=40&md5=e366ca3487c13ff2475357eb70fbef00 | |
dc.subject | Computer aided design | en |
dc.subject | Computer networks | en |
dc.subject | Integrated circuits | en |
dc.subject | Social networking (online) | en |
dc.subject | Cell connectivity | en |
dc.subject | Design constraints | en |
dc.subject | Design flows | en |
dc.subject | Manufacturability | en |
dc.subject | Novel genetic algorithm | en |
dc.subject | Routability | en |
dc.subject | Similar design | en |
dc.subject | Wire length | en |
dc.subject | Genetic algorithms | en |
dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
dc.title | A Novel Genetic Algorithm for I/O Pad Planning Retaining Former Cell Positions | en |
dc.type | conferenceItem | en |
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