Dr. Muhammad Awais
Mitglied - Postdoc
Telefon:
+49 5251 60-1729
E-Mail:
Büro:
O3.119
Web:
Besucher:
Pohlweg 51
33098 Paderborn
33098 Paderborn
Publikationen
Aktuelle Publikationen
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.
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 (GLSVLSI) 2021, ACM, 2021, pp. 27–32.
MCTS-Based Synthesis Towards Efficient Approximate Accelerators
M. Awais, M. Platzner, in: Proceedings of IEEE Computer Society Annual Symposium on VLSI, IEEE, 2021, pp. 384–389.
A Hybrid Synthesis Methodology for Approximate Circuits
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, ACM, 2020, pp. 421–426.
CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation
L.M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, M. Platzner, Microelectronics Reliability 99 (2019) 277–290.
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