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ORCIDVasilis Sakellariou
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2020 – today
- 2024
[j1]Vasilis Sakellariou
, Vassilis Paliouras, Ioannis Kouretas, Hani H. Saleh, Thanos Stouraitis:
A Multiplier-Free RNS-Based CNN Accelerator Exploiting Bit-Level Sparsity. IEEE Trans. Emerg. Top. Comput. 12(2): 667-683 (2024)- [c6]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani H. Saleh, Thanos Stouraitis:
An end-to-end RNS CNN Accelerator. AICAS 2024: 75-79 - 2023
- [c5]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani H. Saleh, Thanos Stouraitis:
A multiplier-Free RNS-Based CNN accelerator exploiting bit-Level sparsity. ARITH 2023: 101 - [c4]Emmanouil Kavvousanos, Vasilis Sakellariou, Ioannis Kouretas, Vassilis Paliouras, Thanos Stouraitis:
Improving Residue-Level Sparsity in RNS-based Neural Network Hardware Accelerators via Regularization. ARITH 2023: 102-109 - [i1]Ghada Alsuhli, Vasileios Sakellariou, Hani H. Saleh, Mahmoud Al-Qutayri, Baker Mohammad, Thanos Stouraitis:
Number Systems for Deep Neural Network Architectures: A Survey. CoRR abs/2307.05035 (2023) - 2022
- [c3]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani H. Saleh, Thanos Stouraitis:
A High-performance RNS LSTM block. ISCAS 2022: 1264-1268 - 2021
- [c2]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani H. Saleh, Thanos Stouraitis:
On Reducing the Number of Multiplications in RNS-based CNN Accelerators. ICECS 2021: 1-6 - [c1]Vasilis Sakellariou, Vassilis Paliouras:
An FPGA Accelerator for Spiking Neural Network Simulation and Training. ISCAS 2021: 1-5
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