Chip-Chat: Challenges and Opportunities in Conversational Hardware Design

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2018

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C. Yu, H. Xiao, and G. De Micheli, “Developing synthesis flows without human knowledge,” in Proceedings of the 55th Annual Design Automation Conference , ser. DAC ’18. New York, NY, USA: Association for Computing Machinery, Jun. 2018, pp. 1–6. [Online]. Available: https://doi.org/10.1145/3195970.3196026

2018

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G. Dessouky, D. Gens, P. Haney, G. Persyn, A. Kanuparthi, H. Khattri, J. M. Fung, A.-R. Sadeghi, and J. Rajendran, “HardFails: Insights into Software-Exploitable Hardware Bugs,” 2019, pp. 213–230. [Online]. Available: https://www.usenix.org/conference/usenixsecurity19/presentation/dessouky

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T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei, “Language Models are Few-Shot Learners,” in Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin, Eds., vol. 33. Curran Associates, Inc., 2020, pp. 1877–1901. [Online]. Available: https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf

2020

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H. Pearce, B. Tan, and R. Karri, “DAVE: Deriving Automatically Verilog from English,” in 2020 ACM/IEEE 2nd Workshop on Machine Learning for CAD (MLCAD) , Nov. 2020, pp. 27–32

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2020

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G. Huang, J. Hu, Y. He, J. Liu, M. Ma, Z. Shen, J. Wu, Y. Xu, H. Zhang, K. Zhong, X. Ning, Y. Ma, H. Yang, B. Yu, H. Yang, and Y. Wang, “Machine Learning for Electronic Design Automation: A Survey,” ACM Transactions on Design Automation of Electronic Systems , vol. 26, no. 5, pp. 40:1–40:46, Jun. 2021. [Online]. Available: https://doi.org/10.1145/3451179

2021

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M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, A. Ray, R. Puri, G. Krueger, M. Petrov, H. Khlaaf, G. Sastry, P. Mishkin, B. Chan, S. Gray, N. Ryder, M. Pavlov, A. Power, L. Kaiser, M. Bavarian, C. Winter, P. Tillet, F. P. Such, D. Cummings, M. Plappert, F. Chantzis, E. Barnes, A. Herbert-Voss, W. H. Guss, A. Nichol, A. Paino, N. Tezak, J. Tang, I. Babuschkin, S. Balaji, S. Jain, W. Saunders, C. Hesse, A. N. Carr, J. Leike, J. Achiam, V. Misra, E. Morikawa, A. Radford, M. Knight, M. Brundage, M. Murati, K. Mayer, P. Welinder, B. McGrew, D. Amodei, S. McCandlish, I. Sutskever, and W. Zaremba, “Evaluating Large Language Models Trained on Code,” Jul. 2021, arXiv:2107.03374 [cs]. [Online]. Available: http://arxiv.org/abs/2107.03374

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2021

Cited alongside, same era.

GitHub, “GitHub Copilot · Your AI pair programmer,” 2021. [Online]. Available: https://copilot.github.com/

2021

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B. Ahmad, W.-K. Liu, L. Collini, H. Pearce, J. M. Fung, J. Valamehr, M. Bidmeshki, P. Sapiecha, S. Brown, K. Chakrabarty, R. Karri, and B. Tan, “Don’t CWEAT It: Toward (CWE) (A)nalysis (T)echniques in Early Stages of Hardware Design,” in IEEE/ACM 2022 International Conference on Computer-Aided Design , San Diego, CA, Oct. 2022, (Accepted)

2022

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T. M. Corporation, “CWE - CWE-1194: Hardware Design (4.1),” 2022. [Online]. Available: https://cwe.mitre.org/data/definitions/1194.html

2022

Later among the works it cites.

S. Pichai, “An important next step on our AI journey,” Feb. 2023. [Online]. Available: https://blog.google/technology/ai/bard-google-ai-search-updates/

2023

Closest in time.

A. Ahmad, M. Waseem, P. Liang, M. Fehmideh, M. S. Aktar, and T. Mikkonen, “Towards Human-Bot Collaborative Software Architecting with ChatGPT,” Feb. 2023, arXiv:2302.14600 [cs]. [Online]. Available: http://arxiv.org/abs/2302.14600

Original

2023

Closest in time.