LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis

M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the ACM Great Lakes Symposium on VLSI, n.d.

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Conference Paper | Accepted | English
Publishing Year
Proceedings Title
Proceedings of the ACM Great Lakes Symposium on VLSI
Conference
31st ACM Great Lakes Symposium on VLSI
Conference Location
Virtual
Conference Date
2021-06-22 – 2021-06-25
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Awais M, Ghasemzadeh Mohammadi H, Platzner M. LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In: Proceedings of the ACM Great Lakes Symposium on VLSI.
Awais, M., Ghasemzadeh Mohammadi, H., & Platzner, M. (n.d.). LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In Proceedings of the ACM Great Lakes Symposium on VLSI. Virtual.
@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner, title={LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis}, booktitle={Proceedings of the ACM Great Lakes Symposium on VLSI}, author={Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco} }
Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” In Proceedings of the ACM Great Lakes Symposium on VLSI, n.d.
M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis,” in Proceedings of the ACM Great Lakes Symposium on VLSI, Virtual.
Awais, Muhammad, et al. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” Proceedings of the ACM Great Lakes Symposium on VLSI.

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