Climate predictions tailored to the wind energy sector represent an innovation to better understand the future variability of wind energy resources. In this work an illustration of the downstream impact of the forecasts ...

DLB relies on the usage of hybrid programming models and exploits the malleability of the second level of parallelism to redistribute computation power across processes.

The probabilistic models to assess seismic hazard and seismic risk incorporated into the codes CRISIS2015 & USERISK2015, respectively, are applied to compute the seismic risk of buildings of Barcelona. The main procedures ...

The use of information and communication technologies (ICT) in the political sphere is nowadays a key aspect for running electoral campaigns. Thus, our work addresses the influence of ICT and candidate practices during ...

Particles transport in a fluid simulations have plenty of applications in the medicine or different fields of the engineering; from drug delivery simulation in the respiratory system to the friction of a car’s break with ...

Deep networks (DN) perform cognitive tasks related with image and text at human-level. To extract and exploit the knowledge coded within these networks we propose a framework which combines state-of-the-art technology in ...

In photosynthesis, specialized light harvesting pigment- protein complexes (PPCs) are used to capture incident sunlight and funnel its energy to the reaction center. In Cryptophyte algae these complexes are suspended in ...

Protein fluorescence decays are difficult to interpret and often involving several energy transfer processes among Trp residues or Trp-ligands. In this study, we simulate EET rates by computing MD-averaged electronic ...

The fast depletion of the Arctic sea ice extent observed during the last three decades has awakened concerns about the consequences of such changes at hemispheric scales, and opened socio-economic opportunities such as ...

We have develop a machine learning framework to enhance protein-protein docking results, using Schulze voting method applied to several models from Support Vector machines.

The quenching of Chlorophyll triplets by triplet energy transfer (TET) to carotenoids is one of the photoprotection strategies in photosynthetic organisms, and prevents singlet oxygen formation. Here we present the study ...

The collapse of smooth initial conditions into Black Holes is an important phenomenon to unlock fundamental aspects of the gravitational theory. In this paper we go closer to the formation of the apparent horizon using ...

High density crowds are risk situations that already had turned some events into disasters. There are particular emerging events in these crowds that had led to dangerous situations. One important phenomenon is named “crowd ...

Heterogeneity, parallelization and vectorization are key techniques to improve the performance and energy efficiency of modern computing systems. However, programming and maintaining code for these architectures poses a ...

In a multi-core era, parallel programming allows further performance improvements, but with an important programmability cost. We envision that the best approach to parallel programming that can exceed the programability, ...

This project aims to improve the results of virtual screening and docking techniques used for drug design, using induced-fit techniques and a consensus scoring approach.

Amino acid substitutions in proteins can result in an altered phenotype which might lead to a disease. PMut2 is a method that can predict whether a mutation has a pathological effect on the protein function. It uses current ...

Task-based programming models have gained a lot of attention for being able to explore high parallelism over multicore and manycore, while hiding the difficulties of parallel programming. For applications with moderate ...

One of the main challenges in data center systems is operating under certain Quality of Service (QoS) while minimizing power consumption. Increasingly, data centers are exploring and adopting heterogeneous server architectures ...

Protein-protein interactions (PPIs) play an essential role in many biological processes, including disease conditions. Strategies to modulate PPIs with small molecules have therefore attracted increasing interest over the ...

Continuum solvation models like PCM or COSMO are the standard tool to calculate solvation free energies in a quantum level, but have been typically limited to small biological molecules due to its large computational cost. ...