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ORCIDSoheil Hashemi
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2020 – today
- 2022
[j7]Jingxiao Ma
, Soheil Hashemi, Sherief Reda:
Approximate Logic Synthesis Using Boolean Matrix Factorization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 15-28 (2022)- 2021
- [j6]Soheil Hashemi, Mani Zarei:
Internet of Things backdoors: Resource management issues, security challenges, and detection methods. Trans. Emerg. Telecommun. Technol. 32(2) (2021) - 2020
- [j5]Krishna Rajan, Soheil Hashemi, Ulya R. Karpuzcu, Michael C. Doggett, Sherief Reda:
Dual-precision fixed-point arithmetic for low-power ray-triangle intersections. Comput. Graph. 87: 72-79 (2020) - [c10]Abdelrahman Hosny, Soheil Hashemi, Mohamed Shalan, Sherief Reda:
DRiLLS: Deep Reinforcement Learning for Logic Synthesis. ASP-DAC 2020: 581-586 - [i7]Fardin Ghorbani, Soheil Hashemi, Ali Abdolali, Mohammad Soleimani:
EEGsig machine learning-based toolbox for End-to-End EEG signal processing. CoRR abs/2010.12877 (2020)
2010 – 2019
- 2019
- [j4]Kumud Nepal, Soheil Hashemi, Hokchhay Tann, R. Iris Bahar, Sherief Reda:
Automated High-Level Generation of Low-Power Approximate Computing Circuits. IEEE Trans. Emerg. Top. Comput. 7(1): 18-30 (2019) - [c9]Tutu Ajayi, Vidya A. Chhabria, Mateus Fogaça, Soheil Hashemi, Abdelrahman Hosny, Andrew B. Kahng, Minsoo Kim, Jeongsup Lee, Uday Mallappa, Marina Neseem, Geraldo Pradipta, Sherief Reda, Mehdi Saligane, Sachin S. Sapatnekar, Carl Sechen, Mohamed Shalan, William Swartz, Lutong Wang, Zhehong Wang, Mingyu Woo, Bangqi Xu:
Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project. DAC 2019: 76 - [c8]Soheil Hashemi, Sherief Reda:
Generalized Matrix Factorization Techniques for Approximate Logic Synthesis. DATE 2019: 1289-1292 - [p4]Soheil Hashemi, Sherief Reda:
Approximate Multipliers and Dividers Using Dynamic Bit Selection. Approximate Circuits 2019: 25-44 - [p3]Soheil Hashemi, Hokchhay Tann, Sherief Reda:
Approximate Logic Synthesis Using Boolean Matrix Factorization. Approximate Circuits 2019: 141-154 - [p2]Hokchhay Tann, Soheil Hashemi, Sherief Reda:
Lightweight Deep Neural Network Accelerators Using Approximate SW/HW Techniques. Approximate Circuits 2019: 289-305 - [p1]Hokchhay Tann, Soheil Hashemi, Francesco Buttafuoco, Sherief Reda:
Approximate Computing for Iris Recognition Systems. Approximate Circuits 2019: 331-348 - [i6]Abdelrahman Hosny, Soheil Hashemi, Mohamed Shalan, Sherief Reda:
DRiLLS: Deep Reinforcement Learning for Logic Synthesis. CoRR abs/1911.04021 (2019) - 2018
- [c7]Soheil Hashemi, Hokchhay Tann, Sherief Reda:
BLASYS: approximate logic synthesis using boolean matrix factorization. DAC 2018: 55:1-55:6 - [c6]Soheil Hashemi, Hokchhay Tann, Francesco Buttafuoco, Sherief Reda:
Approximate computing for biometrie security systems: A case study on iris scanning. DATE 2018: 319-324 - [i5]Hokchhay Tann, Soheil Hashemi, Sherief Reda:
Flexible Deep Neural Network Processing. CoRR abs/1801.07353 (2018) - [i4]Soheil Hashemi, Hokchhay Tann, Sherief Reda:
BLASYS: Approximate Logic Synthesis Using Boolean Matrix Factorization. CoRR abs/1805.06050 (2018) - 2017
- [j3]Soheil Hashemi, Ali Abdolali:
Modelling response of excitable cells induced by electromagnetic fields. Int. J. Comput. Biol. Drug Des. 10(1): 63-78 (2017) - [j2]Soheil Hashemi, Ali Abdolali:
Three-dimensional FDTD modeling of neurons to solve EEG and MEG forward problem. Int. J. Imaging Syst. Technol. 27(4): 361-367 (2017) - [c5]Hokchhay Tann, Soheil Hashemi, R. Iris Bahar, Sherief Reda:
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks. DAC 2017: 28:1-28:6 - [c4]Soheil Hashemi, Nicholas Anthony, Hokchhay Tann, R. Iris Bahar, Sherief Reda:
Understanding the impact of precision quantization on the accuracy and energy of neural networks. DATE 2017: 1474-1479 - [i3]Hokchhay Tann, Soheil Hashemi, Iris Bahar, Sherief Reda:
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks. CoRR abs/1705.04288 (2017) - 2016
- [j1]Soheil Hashemi, Ali Abdolali:
Fast and stable numerical method for neuronal modelling. Commun. Nonlinear Sci. Numer. Simul. 40: 189-196 (2016) - [c3]Hokchhay Tann, Soheil Hashemi, R. Iris Bahar, Sherief Reda:
Runtime configurable deep neural networks for energy-accuracy trade-off. CODES+ISSS 2016: 34:1-34:10 - [c2]Soheil Hashemi, R. Iris Bahar, Sherief Reda:
A low-power dynamic divider for approximate applications. DAC 2016: 105:1-105:6 - [i2]Hokchhay Tann, Soheil Hashemi, R. Iris Bahar, Sherief Reda:
Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off. CoRR abs/1607.05418 (2016) - [i1]Soheil Hashemi, Nicholas Anthony, Hokchhay Tann, R. Iris Bahar, Sherief Reda:
Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks. CoRR abs/1612.03940 (2016) - 2015
- [c1]Soheil Hashemi, R. Iris Bahar, Sherief Reda:
DRUM: A Dynamic Range Unbiased Multiplier for Approximate Applications. ICCAD 2015: 418-425
Coauthor Index
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