Mohammadreza Asadikouhanjani - researchr alias

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Viewing Publication 1 - 5 from 5

2022

Efficient Approximate DNN Accelerators for Edge Devices: An Experimental StudyMohammadreza Asadikouhanjani, Hao Zhang, Kyunghwan Cho, Young-Jin Park, Seok-Bum Ko. In Weiqiang Liu 0001, Fabrizio Lombardi, editors, Approximate Computing. pages 481-508, Springer International Publishing, 2022. [doi]

Approximate Computing for Efficient Neural Network Computation: A SurveyHao Zhang, Mohammadreza Asadikouhanjani, Jie Han 0001, Deivalakshmi Subbian, Seok-Bum Ko. In Weiqiang Liu 0001, Fabrizio Lombardi, editors, Approximate Computing. pages 397-427, Springer International Publishing, 2022. [doi]

2021

Enhancing the Utilization of Processing Elements in Spatial Deep Neural Network AcceleratorsMohammadreza Asadikouhanjani, Seok-Bum Ko. tcad, 40(9):1947-1951, 2021. [doi]

A Real-Time Architecture for Pruning the Effectual Computations in Deep Neural NetworksMohammadreza Asadikouhanjani, Hao Zhang 0041, Gopalakrishnan Lakshminarayanan, Hyuk-Jae Lee, Seok-Bum Ko. tcasI, 68(5):2030-2041, 2021. [doi]

2020

A Novel Architecture for Early Detection of Negative Output Features in Deep Neural Network AcceleratorsMohammadreza Asadikouhanjani, Seok-Bum Ko. tcas, 67-II(12):3332-3336, 2020. [doi]

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