Generating power-optimal standard cell library specification using neural network technique
In VLSI semi-custom design approach, power-optimal standard cell library selection for a given block design requires time-consuming iterative processes. This paper presents a framework to select a standard cell library that can result in near-optimal power while satisfying targeted frequency. The fr...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68267/ http://psasir.upm.edu.my/id/eprint/68267/1/Generating%20power-optimal%20standard%20cell%20library%20specification%20using%20neural%20network%20technique.pdf |
| _version_ | 1848856079067250688 |
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| author | Lim, Sze Huang Lim, Yang Wei Mashohor, Syamsiah Kamsani, Noor Ain Mohd Sidek, Roslina Hashim, Shaiful Jahari Rokhani, Fakhrul Zaman |
| author_facet | Lim, Sze Huang Lim, Yang Wei Mashohor, Syamsiah Kamsani, Noor Ain Mohd Sidek, Roslina Hashim, Shaiful Jahari Rokhani, Fakhrul Zaman |
| author_sort | Lim, Sze Huang |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In VLSI semi-custom design approach, power-optimal standard cell library selection for a given block design requires time-consuming iterative processes. This paper presents a framework to select a standard cell library that can result in near-optimal power while satisfying targeted frequency. The framework relies on neural network model to quickly predict the total power of a block design associated with a given standard cell library in order to speed up the synthesis process. The experimental result based on various synthesized benchmark circuits demonstrated the effectiveness of proposed framework for near-optimal standard cell library specification. |
| first_indexed | 2025-11-15T11:35:57Z |
| format | Conference or Workshop Item |
| id | upm-68267 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:35:57Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-682672019-05-10T08:28:36Z http://psasir.upm.edu.my/id/eprint/68267/ Generating power-optimal standard cell library specification using neural network technique Lim, Sze Huang Lim, Yang Wei Mashohor, Syamsiah Kamsani, Noor Ain Mohd Sidek, Roslina Hashim, Shaiful Jahari Rokhani, Fakhrul Zaman In VLSI semi-custom design approach, power-optimal standard cell library selection for a given block design requires time-consuming iterative processes. This paper presents a framework to select a standard cell library that can result in near-optimal power while satisfying targeted frequency. The framework relies on neural network model to quickly predict the total power of a block design associated with a given standard cell library in order to speed up the synthesis process. The experimental result based on various synthesized benchmark circuits demonstrated the effectiveness of proposed framework for near-optimal standard cell library specification. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68267/1/Generating%20power-optimal%20standard%20cell%20library%20specification%20using%20neural%20network%20technique.pdf Lim, Sze Huang and Lim, Yang Wei and Mashohor, Syamsiah and Kamsani, Noor Ain and Mohd Sidek, Roslina and Hashim, Shaiful Jahari and Rokhani, Fakhrul Zaman (2017) Generating power-optimal standard cell library specification using neural network technique. In: 2017 IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia), 31 Oct.-2 Nov. 2017, Kuala Lumpur, Malaysia. (pp. 101-104). 10.1109/PRIMEASIA.2017.8280374 |
| spellingShingle | Lim, Sze Huang Lim, Yang Wei Mashohor, Syamsiah Kamsani, Noor Ain Mohd Sidek, Roslina Hashim, Shaiful Jahari Rokhani, Fakhrul Zaman Generating power-optimal standard cell library specification using neural network technique |
| title | Generating power-optimal standard cell library specification using neural network technique |
| title_full | Generating power-optimal standard cell library specification using neural network technique |
| title_fullStr | Generating power-optimal standard cell library specification using neural network technique |
| title_full_unstemmed | Generating power-optimal standard cell library specification using neural network technique |
| title_short | Generating power-optimal standard cell library specification using neural network technique |
| title_sort | generating power-optimal standard cell library specification using neural network technique |
| url | http://psasir.upm.edu.my/id/eprint/68267/ http://psasir.upm.edu.my/id/eprint/68267/ http://psasir.upm.edu.my/id/eprint/68267/1/Generating%20power-optimal%20standard%20cell%20library%20specification%20using%20neural%20network%20technique.pdf |