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2020 – today
- 2023
[j2]Ahmet Inci
, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. 22(2): 33:1-33:21 (2023)- 2022
- [j1]Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu:
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Nonvolatile Memories for Deep Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3426-3437 (2022) - [i6]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators. CoRR abs/2205.08648 (2022) - [i5]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality. CoRR abs/2205.13045 (2022) - [i4]Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu:
Efficient Deep Learning Using Non-Volatile Memory Technology. CoRR abs/2206.13601 (2022) - [i3]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration. CoRR abs/2206.15463 (2022) - 2020
- [c1]Ahmet Fatih Inci, Mehmet Meric Isgenc, Diana Marculescu:
DeepNVM: A Framework for Modeling and Analysis of Non-Volatile Memory Technologies for Deep Learning Applications. DATE 2020: 1295-1298 - [i2]Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu:
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR abs/2012.04210 (2020) - [i1]Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu:
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning. CoRR abs/2012.04559 (2020)
Coauthor Index
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