A new structural pattern matching algorithm for technology mapping
In this paper, a new structural matching algorithm for technology mapping is proposed. The algorithm is based on a key observation that the matches for a node in a subject Boolean network are related to the matches for its children. The structural relationships between the library cells are modeled...
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| Vydáno v: | Design Automation, 2001 Proceedings s. 371 - 376 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY, USA
ACM
01.01.2001
IEEE |
| Edice: | ACM Conferences |
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| ISBN: | 1581132972, 9781581132977 |
| ISSN: | 0738-100X |
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| Abstract | In this paper, a new structural matching algorithm for technology mapping is proposed. The algorithm is based on a key observation that the matches for a node in a subject Boolean network are related to the matches for its children. The structural relationships between the library cells are modeled using a lookup table. The proposed method is fast, has low memory usage, and is easy to implement. Experimental results show speedups of 20x over Matsunaga's fast mapping approach, and orders of magnitude over SIS, with the same or slightly better results, and much lower memory utilization. |
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| AbstractList | In this paper, a new structural matching algorithm for technology mapping is proposed. The algorithm is based on a key observation that the matches for a node in a subject Boolean network are related to the matches for its children. The structural relationships between the library cells are modeled using a lookup table. The proposed method is fast, has low memory usage, and is easy to implement. Experimental results show speedups of 20x over Matsunaga's fast mapping approach, and orders of magnitude over SIS, with the same or slightly better results, and much lower memory utilization. In this paper, a new structural matching algorithm for technology mapping is proposed. The algorithm is based on a key observation that the matches for a node in a subject Boolean network are related to the matches for its children. The structural relationships between the library cells are modeled using a lookup table. The proposed method is fast, has low memory usage, and is easy to implement. Experimental results show speedups of 20/spl times/ over Matsunaga's fast mapping approach, and orders of magnitude over SIS, with the same or slightly better results, and much lower memory utilization. |
| Author | Zhao, Min Sapatnekar, Sachin S. |
| Author_xml | – sequence: 1 givenname: Min surname: Zhao fullname: Zhao, Min organization: Advanced Tools, Motorola Inc., Austin, TX, Dept. of ECE, University of Minnesota, Minneapolis, MN – sequence: 2 givenname: Sachin S. surname: Sapatnekar fullname: Sapatnekar, Sachin S. organization: Advanced Tools, Motorola Inc., Austin, TX, Dept. of ECE, University of Minnesota, Minneapolis, MN |
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| Snippet | In this paper, a new structural matching algorithm for technology mapping is proposed. The algorithm is based on a key observation that the matches for a node... |
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| SubjectTerms | Applied computing -- Physical sciences and engineering -- Electronics Applied computing -- Physical sciences and engineering -- Engineering Computer science Computer systems organization Contracts Hardware Logic Mathematics of computing -- Discrete mathematics Network synthesis Pattern matching Permission Software libraries Table lookup Theory of computation -- Design and analysis of algorithms -- Data structures design and analysis -- Pattern matching Tree data structures |
| Title | A new structural pattern matching algorithm for technology mapping |
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