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Franyell Silfa
Franyell Silfa
Postdoctoral Researcher
Verified email at upc.edu
Title
Cited by
Cited by
Year
E-PUR: An energy-efficient processing unit for recurrent neural networks
F Silfa, G Dot, JM Arnau, A Gonzàlez
Proceedings of the 27th international conference on parallel architectures …, 2018
422018
Neuron-level fuzzy memoization in rnns
F Silfa, G Dot, JM Arnau, A Gonzàlez
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
172019
E-BATCH: Energy-efficient and high-throughput RNN batching
F Silfa, JM Arnau, A González
ACM Transactions on Architecture and Code Optimization (TACO) 19 (1), 1-23, 2022
122022
A multi-functional penta-needle thermo-dielectric sensor for porous media sensing
W Sheng, K Rumana, M Sakai, F Silfa, SB Jones
IEEE Sensors Journal 16 (10), 3670-3678, 2016
112016
Boosting lstm performance through dynamic precision selection
F Silfa, JM Arnau, A González
2020 IEEE 27th International Conference on High Performance Computing, Data …, 2020
42020
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme
F Silfa, JM Arnau, A González
arXiv preprint arXiv:2202.06563, 2022
12022
ReuseSense: With Great Reuse Comes Greater Efficiency; Effectively Employing Computation Reuse on General-Purpose CPUs
NN GS, M Ordoñez, L Hari, F Silfa, A González
arXiv preprint arXiv:2311.10487, 2023
2023
ReuseSense: With Great Reuse Comes Greater Efficiency; Effectively Employing Computation Reuse on General-Purpose CPUs
N Narayana GS, M Ordoñez, L Hari, F Silfa, A González
arXiv e-prints, arXiv: 2311.10487, 2023
2023
Exploiting Kernel Compression on BNNs
F Silfa, JM Arnau, A González
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
2023
Energy-efficient architectures for recurrent neural networks
F Silfa
Universitat Politècnica de Catalunya, 2021
2021
Enhancing Bnn Storage and Performance Requirements Via Efficient Quantization and Variable Encoding
F Silfa, A Gonzalez, M Ordonez
Available at SSRN 4883626, 0
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