E-PUR: an energy-efficient processing unit for recurrent neural networks. - Franyell Silfa; Gem Dot; José-María Arnau; Antonio González 001 (PACT, 2018)

Neuron-Level Fuzzy Memoization in RNNs. - Franyell Silfa; Gem Dot; José-María Arnau; Antonio González 001 (MICRO, 2019)

Boosting LSTM Performance Through Dynamic Precision Selection. - Franyell Silfa; José-María Arnau; Antonio González 001 (HiPC, 2020)

Energy-efficient architectures for recurrent neural networks. - Franyell Silfa (2021)

Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme. - Franyell Silfa; José-María Arnau; Antonio González 001 (CoRR, 2022)

E-BATCH: Energy-Efficient and High-Throughput RNN Batching. - Franyell Silfa; José-María Arnau; Antonio González 001 (ACM Trans. Archit. Code Optim., 2022)

Exploiting Kernel Compression on BNNs. - Franyell Silfa; José-María Arnau; Antonio González 001 (DATE, 2023)

ReuseSense: With Great Reuse Comes Greater Efficiency; Effectively Employing Computation Reuse on General-Purpose CPUs. - Nitesh Narayana GS; Marc Ordoñez; Lokananda Hari; Franyell Silfa; Antonio González 001 (CoRR, 2023)

Caravan: A Hardware/Software Co-Design for Efficient SIMD Neighbor Search on Point Clouds. - Pedro Henrique Exenberger Becker; Franyell Silfa; José-María Arnau; Antonio González 001 (ISCA, 2025)