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CoCoUnit: An Energy-Efficient Processing Unit for Cognitive Computing

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Publications

Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition

Author(s): Pinto, Dennis; Arnau, Jose-María; González, Antonio
Published in: Issue 1, 2021

CGPA: Coarse-Grained Pruning of Activations for Energy-Efficient RNN Inference

Author(s): Marc Riera, Jose-Maria Arnau, Antonio Gonzalez
Published in: IEEE Micro, Issue 39/5, 2019, Page(s) 36-45, ISSN 0272-1732
DOI: 10.1109/mm.2019.2929742

LAWS: Locality-AWare Scheme for Automatic Speech Recognition

Author(s): Reza Yazdani, Jose-Maria Arnau, Antonio Gonzalez
Published in: IEEE Transactions on Computers, Issue Volume: 69, Issue: 8, 2020, Page(s) 1-1, ISSN 0018-9340
DOI: 10.1109/tc.2020.2991002

Design and Evaluation of an Ultra Low-power Human-quality Speech Recognition System

Author(s): Dennis Pinto, Jose-María Arnau, Antonio González
Published in: ACM Transactions on Architecture and Code Optimization, Issue 17/4, 2020, Page(s) 1-19, ISSN 1544-3566
DOI: 10.1145/3425604

A Low-Power, High-Performance Speech Recognition Accelerator

Author(s): Reza Yazdani, Jose-Maria Arnau, Antonio Gonzalez
Published in: IEEE Transactions on Computers, Issue 68/12, 2019, Page(s) 1817-1831, ISSN 0018-9340
DOI: 10.1109/tc.2019.2937075

POSTER: Leveraging Run-Time Feedback for Efficient ASR Acceleration

Author(s): Reza Yazdani, Jose-Maria Arnau, Antonio Gonzalez
Published in: 2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT), Issue Seattle, 2019, Page(s) 463-464
DOI: 10.1109/pact.2019.00046

Neuron-Level Fuzzy Memoization in RNNs

Author(s): Franyell Silfa, Gem Dot, Jose-Maria Arnau, Antonio Gonzàlez
Published in: Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, Issue 52, 2019, Page(s) 782-793
DOI: 10.1145/3352460.3358309

Demystifying Power and Performance Bottlenecks in Autonomous Driving Systems

Author(s): Pedro H. E. Becker, Jose Maria Arnau, Antonio Gonzalez
Published in: 2020 IEEE International Symposium on Workload Characterization (IISWC), Issue 2020, 2020, Page(s) 205-215
DOI: 10.1109/iiswc50251.2020.00028