Ahmet Inci

According to our database, Ahmet Inci authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration.

Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

ACM Trans. Embed. Comput. Syst., March, 2023

2022

DeepNVM++: Cross-Layer Modeling and Optimization Framework of Nonvolatile Memories for Deep Learning.

Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Efficient Deep Learning Using Non-Volatile Memory Technology.

Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu

CoRR, 2022

QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality.

Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

CoRR, 2022

QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators.

Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

CoRR, 2022

2020

DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning.

Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu

CoRR, 2020

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems.

Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu

CoRR, 2020

DeepNVM: A Framework for Modeling and Analysis of Non-Volatile Memory Technologies for Deep Learning Applications.

Ahmet Fatih Inci, Mehmet Meric Isgenc, Diana Marculescu

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020