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Soheil 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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last updated on 2024-08-05 21:11 CEST by the dblp team
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