DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing

M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: To Apear in IEEE ISVLSI 2024, 2024.

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Conference Paper | English
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Proceedings Title
To apear in IEEE ISVLSI 2024
Conference
IEEE Computer Society Annual Symposium on VLSI
Conference Location
Knoxville, Tennessee, USA
Conference Date
2024-07-01 – 2024-07-03
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Awais M, Ghasemzadeh Mohammadi H, Platzner M. DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing. In: To Apear in IEEE ISVLSI 2024. ; 2024.
Awais, M., Ghasemzadeh Mohammadi, H., & Platzner, M. (2024). DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing. To Apear in IEEE ISVLSI 2024. IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee, USA.
@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner_2024, title={DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing}, booktitle={To apear in IEEE ISVLSI 2024}, author={Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}, year={2024} }
Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “DeepApprox: Rapid Deep Learning Based Design Space Exploration of Approximate Circuits via Check-Pointing.” In To Apear in IEEE ISVLSI 2024, 2024.
M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing,” presented at the IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee, USA, 2024.
Awais, Muhammad, et al. “DeepApprox: Rapid Deep Learning Based Design Space Exploration of Approximate Circuits via Check-Pointing.” To Apear in IEEE ISVLSI 2024, 2024.

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