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Jose Maria Arnau
Jose Maria Arnau
Semidynamics
Verified email at semidynamics.com
Title
Cited by
Cited by
Year
Computation reuse in DNNs by exploiting input similarity
M Riera, JM Arnau, A González
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
1012018
Eliminating redundant fragment shader executions on a mobile gpu via hardware memoization
JM Arnau, JM Parcerisa, P Xekalakis
ACM SIGARCH Computer Architecture News 42 (3), 529-540, 2014
762014
An ultra low-power hardware accelerator for automatic speech recognition
R Yazdani, A Segura, JM Arnau, A Gonzalez
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016
532016
Teapot: A toolset for evaluating performance, power and image quality on mobile graphics systems
JM Arnau, JM Parcerisa, P Xekalakis
Proceedings of the 27th international ACM conference on International …, 2013
522013
Boosting mobile GPU performance with a decoupled access/execute fragment processor
JM Arnau, JM Parcerisa, P Xekalakis
ACM SIGARCH Computer Architecture News 40 (3), 84-93, 2012
502012
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
Parallel frame rendering: Trading responsiveness for energy on a mobile gpu
JM Arnau, JM Parcerisa, P Xekalakis
Proceedings of the 22nd international conference on Parallel architectures …, 2013
392013
The dark side of DNN pruning
R Yazdani, M Riera, JM Arnau, A González
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
352018
An ultra low-power hardware accelerator for acoustic scoring in speech recognition
H Tabani, JM Arnau, J Tubella, A Gonzalez
2017 26th International Conference on Parallel Architectures and Compilation …, 2017
242017
SCU: a GPU stream compaction unit for graph processing
A Segura, JM Arnau, A González
Proceedings of the 46th international symposium on computer architecture …, 2019
232019
Demystifying power and performance bottlenecks in autonomous driving systems
PHE Becker, JM Arnau, A González
2020 IEEE International Symposium on Workload Characterization (IISWC), 205-215, 2020
212020
Low-power automatic speech recognition through a mobile gpu and a viterbi accelerator
R Yazdani, A Segura, JM Arnau, A Gonzalez
IEEE micro 37 (1), 22-29, 2017
192017
LSTM-sharp: An adaptable, energy-efficient hardware accelerator for long short-term memory
R Yazdani, O Ruwase, M Zhang, Y He, JM Arnau, A González
arXiv preprint arXiv:1911.01258, 2019
172019
A novel register renaming technique for out-of-order processors
H Tabani, JM Arnau, J Tubella, A Gonzalez
2018 IEEE International Symposium on High Performance Computer Architecture …, 2018
172018
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
162019
Performance analysis and optimization of automatic speech recognition
H Tabani, JM Arnau, J Tubella, A González
IEEE Transactions on Multi-Scale Computing Systems 4 (4), 847-860, 2017
162017
Unfold: A memory-efficient speech recognizer using on-the-fly wfst composition
R Yazdani, JM Arnau, A González
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
152017
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
DNN pruning with principal component analysis and connection importance estimation
M Riera, JM Arnau, A Gonzalez
Journal of Systems Architecture 122, 102336, 2022
122022
A low-power, high-performance speech recognition accelerator
R Yazdani, JM Arnau, A González
IEEE Transactions on Computers 68 (12), 1817-1831, 2019
122019
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