Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Liang, Rongjian"'
Autor:
Bai, Yunsheng, Sohrabizadeh, Atefeh, Ding, Zijian, Liang, Rongjian, Li, Weikai, Wang, Ding, Ren, Haoxing, Sun, Yizhou, Cong, Jason
Publikováno v:
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD '24), ACM, 2024, Article 2, 1-7
High-level synthesis (HLS) is an automated design process that transforms high-level code into hardware designs, enabling the rapid development of hardware accelerators. HLS relies on pragmas, which are directives inserted into the source code to gui
Externí odkaz:
http://arxiv.org/abs/2409.13138
Co-optimizing placement with congestion is integral to achieving high-quality designs. This paper presents GOALPlace, a new learning-based general approach to improving placement congestion by controlling cell density. Our method efficiently learns f
Externí odkaz:
http://arxiv.org/abs/2407.04579
Autor:
Liu, Mingjie, Ene, Teodor-Dumitru, Kirby, Robert, Cheng, Chris, Pinckney, Nathaniel, Liang, Rongjian, Alben, Jonah, Anand, Himyanshu, Banerjee, Sanmitra, Bayraktaroglu, Ismet, Bhaskaran, Bonita, Catanzaro, Bryan, Chaudhuri, Arjun, Clay, Sharon, Dally, Bill, Dang, Laura, Deshpande, Parikshit, Dhodhi, Siddhanth, Halepete, Sameer, Hill, Eric, Hu, Jiashang, Jain, Sumit, Jindal, Ankit, Khailany, Brucek, Kokai, George, Kunal, Kishor, Li, Xiaowei, Lind, Charley, Liu, Hao, Oberman, Stuart, Omar, Sujeet, Pasandi, Ghasem, Pratty, Sreedhar, Raiman, Jonathan, Sarkar, Ambar, Shao, Zhengjiang, Sun, Hanfei, Suthar, Pratik P, Tej, Varun, Turner, Walker, Xu, Kaizhe, Ren, Haoxing
ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the following domain adaptation techniques: domain-adap
Externí odkaz:
http://arxiv.org/abs/2311.00176
Autor:
Chang, Chen-Chia, Pan, Jingyu, Zhang, Tunhou, Xie, Zhiyao, Hu, Jiang, Qi, Weiyi, Lin, Chun-Wei, Liang, Rongjian, Mitra, Joydeep, Fallon, Elias, Chen, Yiran
The rise of machine learning technology inspires a boom of its applications in electronic design automation (EDA) and helps improve the degree of automation in chip designs. However, manually crafted machine learning models require extensive human ex
Externí odkaz:
http://arxiv.org/abs/2012.01737
Publikováno v:
2021 Asia and South Pacific Design Automation Conference (ASP-DAC 2021)
Net length is a key proxy metric for optimizing timing and power across various stages of a standard digital design flow. However, the bulk of net length information is not available until cell placement, and hence it is a significant challenge to ex
Externí odkaz:
http://arxiv.org/abs/2011.13522
Publikováno v:
He jishu, Vol 46, Iss 3, Pp 030604-030604 (2023)
BackgroundCore fuel salt emergency drain system designed for fuel salt drain and afterheat removal, provides a safe shutdown mode for a molten salt reactor (MSR). It has important significance to evaluate reliability of the system for the safety of M
Externí odkaz:
https://doaj.org/article/6f76517c87f94a3f942ff2054d2dcc4a
Publikováno v:
In IFAC PapersOnLine 2020 53(2):10011-10018
Akademický článek
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Akademický článek
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Publikováno v:
MATEC Web of Conferences, Vol 56, p 08001 (2016)
This investigation is to deal with the modeling issue for nonlinear pressurized water reactor cores. Nonlinearity measure with gap metric and T-S fuzzy modeling are exploited to build the fuzzy model of a nonlinear core which approximates this nonlin
Externí odkaz:
https://doaj.org/article/8568b8ae81374c4aa4f6f4fb465d067c