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ORCIDJosé-María Arnau
Person information
- affiliation (PhD 2015): Polytechnic University of Catalonia, ARCO, Barcelona, Spain
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2020 – today
- 2024
[j16]Dennis Pinto
, José-María Arnau, Marc Riera, José-Lorenzo Cruz, Antonio González:
Mixture-of-Rookies: Saving DNN computations by predicting ReLU outputs. Microprocess. Microsystems 109: 105087 (2024)- [j15]Rodrigo Huerta, José-Lorenzo Cruz, José-María Arnau, Antonio González:
SIMIL: SIMple Issue Logic for GPUs. Microprocess. Microsystems 111: 105105 (2024) - [j14]Dennis Pinto, José-María Arnau, Marc Riera, José-Lorenzo Cruz, Antonio González:
Exploiting beam search confidence for energy-efficient speech recognition. J. Supercomput. 80(17): 24908-24937 (2024) - [c26]Raúl Taranco, José-María Arnau, Antonio González:
SLIDEX: A Novel Architecture for Sliding Window Processing. ICS 2024: 312-323 - [c25]Mojtaba Abaie Shoushtary, José-María Arnau, Jordi Tubella Murgadas, Antonio González:
Memento: An Adaptive, Compiler-Assisted Register File Cache for GPUs. ISCA 2024: 978-990 - [i16]Ramon Canal, Stefano Di Carlo, Dimitris Gizopoulos, Alberto Scionti, Francesco Lubrano, Josep Lluis Berral, Aaron Call, Diego Marron, Konstantinos Nikas, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Yannis Papaefstathiou, José-María Arnau, Angelos Arelakis:
Vitamin-V: Expanding Open-Source RISC-V Cloud Environments. CoRR abs/2407.00052 (2024) - 2023
- [j13]Raúl Taranco, José-María Arnau, Antonio González:
LOCATOR: Low-power ORB accelerator for autonomous cars. J. Parallel Distributed Comput. 174: 32-45 (2023) - [j12]Reza Yazdani Aminabadi, Olatunji Ruwase, Minjia Zhang, Yuxiong He, José-María Arnau, Antonio González:
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Networks. ACM Trans. Embed. Comput. Syst. 22(2): 30:1-30:23 (2023) - [j11]Albert Segura, José-María Arnau, Antonio González:
Irregular accesses reorder unit: improving GPGPU memory coalescing for graph-based workloads. J. Supercomput. 79(1): 762-787 (2023) - [c24]Raúl Taranco, José-María Arnau, Antonio González:
SLIDEX: Sliding Window Extension for Image Processing. PACT 2023: 332-334 - [c23]Franyell Silfa, José-María Arnau, Antonio González:
Exploiting Kernel Compression on BNNs. DATE 2023: 1-6 - [c22]Ramon Canal, Cristiano Pegoraro Chenet, Aggelos Arelakis, José-María Arnau, Josep Lluís Berral, Aaron Call, Stefano Di Carlo, Juan José Costa, Dimitris Gizopoulos, Vasileios Karakostas, Francesco Lubrano, Konstantinos Nikas, Yiannis Nikolakopoulos, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Eva Rodríguez, Alessandro Savino, Alberto Scionti, Nikolaos Tampouratzis, Alex Torregrosa:
VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services. DSD 2023: 302-308 - [c21]Rodrigo Huerta, José-María Arnau, Antonio González:
Simple Out of Order Core for GPGPUs. GPGPU@PPoPP 2023: 21-26 - [c20]Mojtaba Abaie Shoushtary, José-María Arnau, Jordi Tubella Murgadas, Antonio González:
Lightweight Register File Caching in Collector Units for GPUs. GPGPU@PPoPP 2023: 27-33 - [c19]Pedro Henrique Exenberger Becker, José-María Arnau, Antonio González:
K-D Bonsai: ISA-Extensions to Compress K-D Trees for Autonomous Driving Tasks. ISCA 2023: 20:1-20:13 - [c18]Raúl Taranco, José-María Arnau, Antonio González:
δLTA: Decoupling Camera Sampling from Processing to Avoid Redundant Computations in the Vision Pipeline. MICRO 2023: 1029-1043 - [i15]Pedro Henrique Exenberger Becker, José-María Arnau, Antonio González:
K-D Bonsai: ISA-Extensions to Compress K-D Trees for Autonomous Driving Tasks. CoRR abs/2302.00361 (2023) - [i14]Aggelos Arelakis, José-María Arnau, Josep Lluis Berral, Aaron Call, Ramon Canal, Stefano Di Carlo, Juan José Costa, Dimitris Gizopoulos, Vasileios Karakostas, Francesco Lubrano, Konstantinos Nikas, Yiannis Nikolakopoulos, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Eva Rodríguez, Alessandro Savino, Alberto Scionti, Nikolaos Tampouratzis, Antonio J. Torregrosa:
Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services. CoRR abs/2305.10982 (2023) - [i13]Mojtaba Abaie Shoushtary, José-María Arnau, Jordi Tubella Murgadas, Antonio González:
A Lightweight, Compiler-Assisted Register File Cache for GPGPU. CoRR abs/2310.17501 (2023) - 2022
- [j10]Marc Riera, José-María Arnau, Antonio González:
DNN pruning with principal component analysis and connection importance estimation. J. Syst. Archit. 122: 102336 (2022) - [j9]Marc Riera, José-María Arnau, Antonio González:
CREW: Computation reuse and efficient weight storage for hardware-accelerated MLPs and RNNs. J. Syst. Archit. 129: 102604 (2022) - [j8]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) - [j7]Albert Segura, José-María Arnau, Antonio González:
Energy-Efficient Stream Compaction Through Filtering and Coalescing Accesses in GPGPU Memory Partitions. IEEE Trans. Computers 71(7): 1711-1723 (2022) - [i12]Dennis Pinto, José-María Arnau, Antonio González:
ASRPU: A Programmable Accelerator for Low-Power Automatic Speech Recognition. CoRR abs/2202.04971 (2022) - [i11]Dennis Pinto, José-María Arnau, Antonio González:
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs. CoRR abs/2202.04990 (2022) - [i10]Franyell Silfa, José-María Arnau, Antonio González:
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme. CoRR abs/2202.06563 (2022) - [i9]Franyell Silfa, José-María Arnau, Antonio González:
Exploiting Kernel Compression on BNNs. CoRR abs/2212.00608 (2022) - 2021
- [c17]Raúl Taranco, José-María Arnau, Antonio González:
A Low-Power Hardware Accelerator for ORB Feature Extraction in Self-Driving Cars. SBAC-PAD 2021: 11-21 - [i8]Dennis Pinto, José-María Arnau, Antonio González:
Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition. CoRR abs/2101.09083 (2021) - [i7]Marc Riera, José-María Arnau, Antonio González:
CREW: Computation Reuse and Efficient Weight Storage for Hardware-accelerated MLPs and RNNs. CoRR abs/2107.09408 (2021) - 2020
- [j6]Dennis Pinto, José-María Arnau, Antonio González:
Design and Evaluation of an Ultra Low-power Human-quality Speech Recognition System. ACM Trans. Archit. Code Optim. 17(4): 41:1-41:19 (2020) - [j5]Reza Yazdani, José-María Arnau, Antonio González:
LAWS: Locality-AWare Scheme for Automatic Speech Recognition. IEEE Trans. Computers 69(8): 1197-1208 (2020) - [c16]Franyell Silfa, José-María Arnau, Antonio González:
Boosting LSTM Performance Through Dynamic Precision Selection. HiPC 2020: 323-333 - [c15]Pedro Henrique Exenberger Becker, José-María Arnau, Antonio González:
Demystifying Power and Performance Bottlenecks in Autonomous Driving Systems. IISWC 2020: 205-215 - [i6]Albert Segura, José-María Arnau, Antonio González:
Irregular Accesses Reorder Unit: Improving GPGPU Memory Coalescing for Graph-Based Workloads. CoRR abs/2007.07131 (2020) - [i5]Franyell Silfa, José-María Arnau, Antonio González:
E-BATCH: Energy-Efficient and High-Throughput RNN Batching. CoRR abs/2009.10656 (2020)
2010 – 2019
- 2019
- [j4]Marc Riera, José-María Arnau, Antonio González:
CGPA: Coarse-Grained Pruning of Activations for Energy-Efficient RNN Inference. IEEE Micro 39(5): 36-45 (2019) - [j3]Reza Yazdani, José-María Arnau, Antonio González:
A Low-Power, High-Performance Speech Recognition Accelerator. IEEE Trans. Computers 68(12): 1817-1831 (2019) - [c14]Reza Yazdani, José-María Arnau, Antonio González:
POSTER: Leveraging Run-Time Feedback for Efficient ASR Acceleration. PACT 2019: 463-464 - [c13]Albert Segura, José-María Arnau, Antonio González:
SCU: a GPU stream compaction unit for graph processing. ISCA 2019: 424-435 - [c12]Franyell Silfa, Gem Dot, José-María Arnau, Antonio González:
Neuron-Level Fuzzy Memoization in RNNs. MICRO 2019: 782-793 - [i4]Marc Riera, José-María Arnau, Antonio González:
(Pen-) Ultimate DNN Pruning. CoRR abs/1906.02535 (2019) - [i3]Reza Yazdani, Olatunji Ruwase, Minjia Zhang, Yuxiong He, José-María Arnau, Antonio González:
LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory. CoRR abs/1911.01258 (2019) - [i2]Franyell Silfa, José-María Arnau, Antonio González:
Boosting LSTM Performance Through Dynamic Precision Selection. CoRR abs/1911.04244 (2019) - 2018
- [j2]Hamid Tabani, José-María Arnau, Jordi Tubella, Antonio González:
Performance Analysis and Optimization of Automatic Speech Recognition. IEEE Trans. Multi Scale Comput. Syst. 4(4): 847-860 (2018) - [c11]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 - [c10]Hamid Tabani, José-María Arnau, Jordi Tubella, Antonio González:
A Novel Register Renaming Technique for Out-of-Order Processors. HPCA 2018: 259-270 - [c9]Marc Riera, José-María Arnau, Antonio González:
Computation Reuse in DNNs by Exploiting Input Similarity. ISCA 2018: 57-68 - [c8]Reza Yazdani, Marc Riera, José-María Arnau, Antonio González:
The Dark Side of DNN Pruning. ISCA 2018: 790-801 - 2017
- [j1]Reza Yazdani, Albert Segura, José-María Arnau, Antonio González:
Low-Power Automatic Speech Recognition Through a Mobile GPU and a Viterbi Accelerator. IEEE Micro 37(1): 22-29 (2017) - [c7]Hamid Tabani, José-María Arnau, Jordi Tubella, Antonio González:
An Ultra Low-Power Hardware Accelerator for Acoustic Scoring in Speech Recognition. PACT 2017: 41-52 - [c6]Reza Yazdani, José-María Arnau, Antonio González:
UNFOLD: a memory-efficient speech recognizer using on-the-fly WFST composition. MICRO 2017: 69-81 - [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) - 2016
- [c5]Reza Yazdani, Albert Segura, José-María Arnau, Antonio González:
An ultra low-power hardware accelerator for automatic speech recognition. MICRO 2016: 47:1-47:12 - 2015
- [b1]José-María Arnau:
Energy-efficient mobile GPU systems. Polytechnic University of Catalonia, Spain, 2015 - 2014
- [c4]José-María Arnau, Joan-Manuel Parcerisa, Polychronis Xekalakis:
Eliminating redundant fragment shader executions on a mobile GPU via hardware memoization. ISCA 2014: 529-540 - 2013
- [c3]José-María Arnau, Joan-Manuel Parcerisa, Polychronis Xekalakis:
Parallel frame rendering: Trading responsiveness for energy on a mobile GPU. PACT 2013: 83-92 - [c2]José-María Arnau, Joan-Manuel Parcerisa, Polychronis Xekalakis:
TEAPOT: a toolset for evaluating performance, power and image quality on mobile graphics systems. ICS 2013: 37-46 - 2012
- [c1]José-María Arnau, Joan-Manuel Parcerisa, Polychronis Xekalakis:
Boosting mobile GPU performance with a decoupled access/execute fragment processor. ISCA 2012: 84-93
Coauthor Index
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