activity
20142022
most citedResolving sets for breaking symmetries of graphs

3 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AR2022

Exploiting Kernel Compression on BNNs

Franyell Silfa, Jose Maria Arnau, Antonio González

Binary Neural Networks (BNNs) are showing tremendous success on realistic image classification tasks. Notably, their accuracy is similar to the state-of-the-art accuracy obtained b…

cs.AR2022

Dynamic Sampling Rate: Harnessing Frame Coherence in Graphics Applications for Energy-Efficient GPUs

Martí Anglada, Enrique de Lucas, Joan-Manuel Parcerisa +2

In real-time rendering, a 3D scene is modelled with meshes of triangles that the GPU projects to the screen. They are discretized by sampling each triangle at regular space interva…

cs.NE2022★ 1 cited

Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme

Franyell Silfa, Jose-Maria Arnau, Antonio González

Recurrent Neural Networks (RNNs) are a key technology for applications such as automatic speech recognition or machine translation. Unlike conventional feed-forward DNNs, RNNs reme…

cs.AR2022★ 1 cited

Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs

Dennis Pinto, Jose-María Arnau, Antonio González

Deep Neural Networks (DNNs) are widely used in many applications domains. However, they require a vast amount of computations and memory accesses to deliver outstanding accuracy. I…

cs.AR2022

ASRPU: A Programmable Accelerator for Low-Power Automatic Speech Recognition

Dennis Pinto, Jose-María Arnau, Antonio González

The outstanding accuracy achieved by modern Automatic Speech Recognition (ASR) systems is enabling them to quickly become a mainstream technology. ASR is essential for many applica…

cs.AR2021

A Survey of Near-Data Processing Architectures for Neural Networks

Mehdi Hassanpour, Marc Riera, Antonio González

Data-intensive workloads and applications, such as machine learning (ML), are fundamentally limited by traditional computing systems based on the von-Neumann architecture. As data…

math.CO2016

New results on metric-locating-dominating sets of graphs

Antonio González, Carmen Hernando, Mercè Mora

A dominating set of a graph is a metric-locating-dominating set if each vertex of the graph is uniquely distinguished by its distances from the elements of , and the minimum…

math.CO2014★ 3 cited

Resolving sets for breaking symmetries of graphs

Delia Garijo, Antonio González, Alberto Márquez

This paper deals with the maximum value of the difference between the determining number and the metric dimension of a graph as a function of its order. Our technique requires to u…