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I am a Ph.D. student at the Computer Architecture Group (gaZ) at the University of Zaragoza under the supervision of Javier Resano, where I am working on the development of hardware support for DNNs. Before that, I graduated in Social Work from the University of Zaragoza, Spain (2010), I obtained my master degree in International Peace, Conflict and Development Studies from the University Jaume I of Castellón, Spain (2012), and then I graduated in Computer Engineering from the University of Zaragoza, Spain (2017). |
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I am interested in the development of efficient hardware support for Neural Networks. In particular, Convolutional Neural Networks used for the classification of Hyperspectral images. |
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Due to sparsity, a significant percentage of the operations carried out in Convolutional Neural Networks (CNNs) contains a zero in at least one of their operands. We propose the implementation in an FPGA of an architecture for CNNs capable of taking advantage of sparsity in two different ways: compressing sparse matrices and avoiding multiplications with zero in their operands.
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The aim of this research is to develop efficient solutions capable of processing hyperspectral images on-board at real-time. For its achievement, we will explore the use of CNNs and their optimization trough the development of specific hardware support, based on FPGAs.
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