Barcelona Supercomputing Center

research

∙ 06/05/2019

How to Initialize your Network? Robust Initialization for WeightNorm & ResNets

Residual networks (ResNet) and weight normalization play an important ro...

Devansh Arpit, et al. ∙

research

∙ 12/26/2019

On the Resilience of Deep Learning for Reduced-voltage FPGAs

Deep Neural Networks (DNNs) are inherently computation-intensive and als...

Kamyar Givaki, et al. ∙

research

∙ 11/12/2018

Importance Weighted Evolution Strategies

Evolution Strategies (ES) emerged as a scalable alternative to popular R...

Victor Campos, et al. ∙

research

∙ 03/13/2019

RVOS: End-to-End Recurrent Network for Video Object Segmentation

Multiple object video object segmentation is a challenging task, special...

Carles Ventura, et al. ∙

research

∙ 11/20/2019

MetH: A family of high-resolution and variable-shape image challenges

High-resolution and variable-shape images have not yet been properly add...

Ferran Parés Pont, et al. ∙

research

∙ 09/28/2021

Who Explains the Explanation? Quantitatively Assessing Feature Attribution Methods

AI explainability seeks to increase the transparency of models, making t...

Anna Arias-Duart, et al. ∙

research

∙ 07/24/2017

Full-Network Embedding in a Multimodal Embedding Pipeline

The current state-of-the-art for image annotation and image retrieval ta...

Armand Vilalta, et al. ∙

research

∙ 03/03/2017

On the Behavior of Convolutional Nets for Feature Extraction

Deep neural networks are representation learning techniques. During trai...

Dario Garcia-Gasulla, et al. ∙

research

∙ 08/22/2017

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

Recurrent Neural Networks (RNNs) continue to show outstanding performanc...

Victor Campos, et al. ∙

research

∙ 08/21/2017

More cat than cute? Interpretable Prediction of Adjective-Noun Pairs

The increasing availability of affect-rich multimedia resources has bols...

Delia Fernandez, et al. ∙

research

∙ 07/13/2017

Disentangling Motion, Foreground and Background Features in Videos

This paper introduces an unsupervised framework to extract semantically ...

Xunyu Lin, et al. ∙

research

∙ 07/31/2015

A Visual Embedding for the Unsupervised Extraction of Abstract Semantics

Vector-space word representations obtained from neural network models ha...

D. Garcia-Gasulla, et al. ∙

research

∙ 11/02/2016

Limitations and Alternatives for the Evaluation of Large-scale Link Prediction

Link prediction, the problem of identifying missing links among a set of...

Dario Garcia-Gasulla, et al. ∙

research

∙ 11/11/2016

Hierarchical Object Detection with Deep Reinforcement Learning

We present a method for performing hierarchical object detection in imag...

Miriam Bellver, et al. ∙

research

∙ 04/12/2016

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

Visual multimedia have become an inseparable part of our digital social ...

Victor Campos, et al. ∙

research

∙ 10/30/2017

A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices

We present the submatrix method, a highly parallelizable method for the ...

Michael Lass, et al. ∙

research

∙ 11/21/2017

Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory

The emergence of Next Generation Sequencing (NGS) platforms has increase...

Nicola Cadenelli, et al. ∙

research

∙ 01/08/2018

Weighted Contrastive Divergence

Learning algorithms for energy based Boltzmann architectures that rely o...

Enrique Romero Merino, et al. ∙

research

∙ 03/21/2018

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Adaptive Computation Time for Recurrent Neural Networks (ACT) is one of ...

Daniel Fojo, et al. ∙

research

∙ 04/24/2018

A Visual Distance for WordNet

Measuring the distance between concepts is an important field of study o...

Raquel Pérez-Arnal, et al. ∙

research

∙ 04/30/2018

Performance Evaluation of an Algorithm-based Asynchronous Checkpoint-Restart Fault Tolerant Application Using Mixed MPI/GPI-2

One of the hardest challenges of the current Big Data landscape is the l...

Adrian Bazaga, et al. ∙

research

∙ 08/01/2018

PETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements

We present the capabilities and results of the Parallel Edge-based Tool ...

Octavio Castillo-Reyes, et al. ∙

research

∙ 10/26/2018

AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests

The last improvements in programming languages, programming models, and ...

Cristian Ramon-Cortes, et al. ∙

research

∙ 01/10/2019

Integrating Blocking and Non-Blocking MPI Primitives with Task-Based Programming Models

In this paper we present the Task-Aware MPI library (TAMPI) that integra...

Kevin Sala, et al. ∙

research

∙ 05/05/2019

BVS Corpus: A Multilingual Parallel Corpus of Biomedical Scientific Texts

The BVS database (Health Virtual Library) is a centralized source of bio...

Felipe Soares, et al. ∙

research

∙ 05/14/2019

Resource-aware Elastic Swap Random Forest for Evolving Data Streams

Continual learning based on data stream mining deals with ubiquitous sou...

Diego Marrón, et al. ∙

research

∙ 06/03/2019

Exploiting nested task-parallelism in the ℋ-LU factorization

We address the parallelization of the LU factorization of hierarchical m...

Rocío Carratalá-Sáez, et al. ∙

research

∙ 06/12/2019

Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets

High-performance computing (HPC) requires resilience techniques such as ...

Kai Keller, et al. ∙

research

∙ 11/08/2019

Feature discriminativity estimation in CNNs for transfer learning

The purpose of feature extraction on convolutional neural networks is to...

Victor Gimenez-Abalos, et al. ∙

research

∙ 11/21/2019

Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

We present a classical control mechanism for Quantum devices using Reinf...

Artur Garcia-Saez, et al. ∙

research

∙ 11/26/2019

Random Forest as a Tumour Genetic Marker Extractor

Finding tumour genetic markers is essential to biomedicine due to their ...

Raquel Pérez-Arnal, et al. ∙

research

∙ 12/18/2019

HDOT – an Approach Towards Productive Programming of Hybrid Applications

MPI applications matter. However, with the advent of many-core processor...

Jan Ciesko, et al. ∙

research

∙ 02/19/2020

Holistic Slowdown Driven Scheduling and Resource Management for Malleable Jobs

In job scheduling, the concept of malleability has been explored since m...

Marco D'Amico, et al. ∙

research

∙ 02/20/2020

Toward An Interdisciplinary Methodology to Solve New (Old) Transportation Problems

The rising availability of digital traces provides a fertile ground for ...

Eduardo Graells-Garrido, et al. ∙

research

∙ 02/20/2020

Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data

Urban population grows constantly. By 2050 two thirds of the world popul...

Eduardo Graells-Garrido, et al. ∙

research

∙ 04/05/2020

Reducing Data Motion to Accelerate the Training of Deep Neural Networks

This paper reduces the cost of DNNs training by decreasing the amount of...

Sicong Zhuang, et al. ∙

research

∙ 04/14/2020

A Linux Kernel Scheduler Extension for Multi-core Systems

The Linux kernel is mostly designed for multi-programed environments, bu...

Aleix Roca, et al. ∙

research

∙ 04/30/2020

Covid-19 and contact tracing apps: A review under the European legal framework

In this article, we would like to review the main technologies that have...

Teresa Scantamburlo, et al. ∙

research

∙ 05/12/2020

DMR API: Improving cluster productivity by turning applications into malleable

Adaptive workloads can change on–the–fly the configuration of their jobs...

Sergio Iserte, et al. ∙

research

∙ 05/13/2020

MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain

The simulation of the behavior of the human brain is one of the most amb...

Pedro Valero-Lara, et al. ∙

research

∙ 05/19/2020

Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues

Web platforms have allowed political manifestation and debate for decade...

Eduardo Graells-Garrido, et al. ∙

research

∙ 05/22/2020

HPC compact quasi-Newton algorithm for interface problems

In this work we present a robust interface coupling algorithm called Com...

A. Santiago, et al. ∙

research

∙ 06/04/2020

The Impact of COVID-19 on Flight Networks

As COVID-19 transmissions spread worldwide, governments have announced a...

Toyotaro Suzumura, et al. ∙

research

∙ 06/12/2020

Workflow environments for advanced cyberinfrastructure platforms

Progress in science is deeply bound to the effective use of high-perform...

Rosa M. Badia, et al. ∙

research

∙ 07/06/2020

Multi-tenant Pub/Sub Processing for Real-time Data Streams

Devices and sensors generate streams of data across a diversity of locat...

Álvaro Villalba, et al. ∙

research

∙ 07/09/2020

Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU

In this paper, we analyze the performance and energy consumption of an A...

Filippo Mantovani, et al. ∙

research

∙ 07/27/2020

A Closer Look at Art Mediums: The MAMe Image Classification Dataset

Art is an expression of human creativity, skill and technology. An excep...

Ferran Parés, et al. ∙

research

∙ 05/12/2020

Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics

High fidelity Computational Fluid Dynamics simulations are generally ass...

R. Borrell, et al. ∙

research

∙ 09/07/2020

Asynchronous Runtime with Distributed Manager for Task-based Programming Models

Parallel task-based programming models, like OpenMP, allow application d...

Jaume Bosch, et al. ∙

research

∙ 11/26/2020

On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale

Operating systems have historically had to manage only a single type of ...

Aleix Roca Nonell, et al. ∙

Barcelona Supercomputing Center

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