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ORCIDFranyell Silfa
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2020 – today
- 2023
[c4]Franyell Silfa, José-María Arnau, Antonio González:
Exploiting Kernel Compression on BNNs. DATE 2023: 1-6- [i6]Nitesh Narayana GS, Marc Ordoñez, Lokananda Hari, Franyell Silfa, Antonio González:
ReuseSense: With Great Reuse Comes Greater Efficiency; Effectively Employing Computation Reuse on General-Purpose CPUs. CoRR abs/2311.10487 (2023) - 2022
- [j1]Franyell Silfa
, José-María Arnau, Antonio González:
E-BATCH: Energy-Efficient and High-Throughput RNN Batching. ACM Trans. Archit. Code Optim. 19(1): 14:1-14:23 (2022) - [i5]Franyell Silfa, José-María Arnau, Antonio González:
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme. CoRR abs/2202.06563 (2022) - [i4]Franyell Silfa, José-María Arnau, Antonio González:
Exploiting Kernel Compression on BNNs. CoRR abs/2212.00608 (2022) - 2021
- [b1]Franyell Silfa:
Energy-efficient architectures for recurrent neural networks. Polytechnic University of Catalonia, Spain, 2021 - 2020
- [c3]Franyell Silfa, José-María Arnau, Antonio González:
Boosting LSTM Performance Through Dynamic Precision Selection. HiPC 2020: 323-333 - [i3]Franyell Silfa, José-María Arnau, Antonio González:
E-BATCH: Energy-Efficient and High-Throughput RNN Batching. CoRR abs/2009.10656 (2020)
2010 – 2019
- 2019
- [c2]Franyell Silfa, Gem Dot, José-María Arnau, Antonio González:
Neuron-Level Fuzzy Memoization in RNNs. MICRO 2019: 782-793 - [i2]Franyell Silfa, José-María Arnau, Antonio González:
Boosting LSTM Performance Through Dynamic Precision Selection. CoRR abs/1911.04244 (2019) - 2018
- [c1]Franyell Silfa, Gem Dot, José-María Arnau, Antonio González:
E-PUR: an energy-efficient processing unit for recurrent neural networks. PACT 2018: 18:1-18:12 - 2017
- [i1]Franyell Silfa, Gem Dot, José-María Arnau, Antonio González:
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks. CoRR abs/1711.07480 (2017)
Coauthor Index
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