A Fast Optimal Double Row Legalization Algorithm
نویسندگان
چکیده
In Placement Legalization, it is often assumed that (almost) all standard cells possess the same height and can therefore be aligned in cell rows , which then treated independently. However, this no longer true for recent technologies, where a substantial number of double- or even arbitrary multiple-row to expected. Due interdependencies between placements within several rows, legalization task becomes considerably harder. paper, we show how optimize squared movement pairs adjacent comprising single- as well double-row with fixed left-to-right ordering time \(\mathcal {O}(n\cdot \log (n)) \) n denotes involved. Opposed prior works, do not artificially bound maximum guarantee find an optimum solution. Our approach also allows include gridding movebound constraints cells. Experimental results average percental decrease over \(26\% total when compared fixes more than single-row after Global Placement.
منابع مشابه
Fast Algorithm for Connected Row Convex Constraints
Many interesting tractable problems are identified under the model of Constraint Satisfaction Problems. These problems are usually solved by forcing a certain level of local consistency. In this paper, for the class of connected row convex constraints, we propose a novel algorithm which is based on the ideas of variable elimination and efficient composition of row convex and connected constrain...
متن کاملA Fast and Optimal Hand Isomorphism Algorithm
In a section of their 2007 paper, Gilpin, Sandholm, and Sørensen outline a technique for indexing poker hands that accounts for suit isomorphisms. Their implementation is specific to Texas Hold’em as it requires a large case analysis, and is not optimal as many cases are omitted. In this paper, we build on their ideas and provide a fast and optimal technique that generalizes beyond Texas Hold’e...
متن کاملFOGSAA: Fast Optimal Global Sequence Alignment Algorithm
In this article we propose a Fast Optimal Global Sequence Alignment Algorithm, FOGSAA, which aligns a pair of nucleotide/protein sequences faster than any optimal global alignment method including the widely used Needleman-Wunsch (NW) algorithm. FOGSAA is applicable for all types of sequences, with any scoring scheme, and with or without affine gap penalty. Compared to NW, FOGSAA achieves a tim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Design Automation of Electronic Systems
سال: 2023
ISSN: ['1084-4309', '1557-7309']
DOI: https://doi.org/10.1145/3579844