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ORCIDKamyar Givaki
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2020 – today
- 2023
[j2]Kamyar Givaki
, Ahmad Khonsari, MohammadHosein Gholamrezaei, Saeid Gorgin, M. Hassan Najafi:
A Generalized Residue Number System Design Approach for Ultralow-Power Arithmetic Circuits Based on Deterministic Bit-Streams. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3787-3800 (2023)- 2022
- [c5]Kamyar Givaki, Ahmad Khonsari, M. Hossein Gholamrezaei, Dara Rahmati, Saeid Gorgin:
Hardware Efficient FIR Filter Architectures Using Accurate Unary Stochastic Computing. ICCD 2022: 754-761 - 2021
- [j1]Kamyar Givaki, Reza Hojabr, MohammadHosein Gholamrezaei, Ahmad Khonsari, Saeid Gorgin, Dara Rahmati, M. Hassan Najafi:
High-Performance Deterministic Stochastic Computing Using Residue Number System. IEEE Des. Test 38(6): 60-68 (2021) - 2020
- [c4]Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi:
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training. ISCAS 2020: 1-5 - [c3]Kamyar Givaki, Behzad Salami, Reza Hojabr, S. M. Reza Tayaranian, Ahmad Khonsari, Dara Rahmati, Saeid Gorgin, Adrián Cristal, Osman S. Unsal:
On the Resilience of Deep Learning for Reduced-voltage FPGAs. PDP 2020: 110-117 - [i2]Kamyar Givaki, Behzad Salami, Reza Hojabr, S. M. Reza Tayaranian, Ahmad Khonsari, Dara Rahmati, Saeid Gorgin, Adrián Cristal, Osman S. Unsal:
On the Resilience of Deep Learning for Reduced-voltage FPGAs. CoRR abs/2001.00053 (2020) - [i1]Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi:
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training. CoRR abs/2010.05197 (2020)
2010 – 2019
- 2019
- [c2]Kamyar Givaki, Reza Hojabr, M. Hassan Najafi, Ahmad Khonsari, M. Hossein Gholamrezayi, Saeid Gorgin, Dara Rahmati:
Using Residue Number Systems to Accelerate Deterministic Bit-stream Multiplication. ASAP 2019: 40 - [c1]Reza Hojabr, Kamyar Givaki, S. M. Reza Tayaranian, Parsa Esfahanian, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi:
SkippyNN: An Embedded Stochastic-Computing Accelerator for Convolutional Neural Networks. DAC 2019: 132
Coauthor Index
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