Listar ICC_Articles por autoría "f24197b3-b464-4903-a934-54f721e5bee1"
Mostrando ítems 1-11 de 11
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A framework for genomic sequencing on clusters of multicore and manycore processors
Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Tárraga, Joaquín; Medina, Ignacio; Dopazo, Joaquín; Quintana-Orti, Enrique S. Sage (2016-06)The advances in genomic sequencing during the past few years have motivated the development of fast and reliable software for DNA/RNA sequencing on current high performance architectures. Most of these efforts target ... -
Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner
Iserte, Sergio; Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Mayo, Rafael; Peña Monferrer, Antonio J. Springer (2018-09)Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ... -
Exploiting the capabilities of modern GPUs for dense matrix computations
Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Igual, Francisco D.; Mayo, Rafael; Quintana-Orti, Enrique S.; Quintana-Ortí, Gregorio John Wiley & Sons (2009)We present several algorithms to compute the solution of a linear system of equations on a graphics processor (GPU), as well as general techniques to improve their performance, such as padding and hybrid GPU-CPU computation. ... -
FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters
Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Quintana-Orti, Enrique S.; Rambla, Jordi; Farré, Xavier; Navarro, Arcadi Mary Ann Liebert (2018-08)We introduce a version of the epistasis test in FaST-LMM for clusters of multithreaded processors. This new software maintains the sensitivity of the original FaST-LMM while delivering acceleration that is close to linear ... -
Highly sensitive and ultrafast read mapping for RNA-seq analysis
Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Martínez Pérez, Héctor; Medina, Ignacio; Tárraga, Joaquín; Quintana-Orti, Enrique S.; Dopazo, Joaquín; Salavert Torres, José; Blanquer Espert, Ignacio; Paschall, J.; Hernández-García, V. Oxford University Press (2016)As sequencing technologies progress, the amount of data produced grows exponentially, shifting the bottleneck of discovery towards the data analysis phase. In particular, currently available mapping solutions for RNA-seq ... -
Introduction to Programming Using Mobile Phones and MIT App Inventor
Barrachina Mir, Sergio; Fabregat Llueca, German Institute of Electrical and Electronics Engineers (2020-07-09)At the beginning of each year, we ask our new undergraduate students in Computer Engineering if they have ever developed a computer program. Surprisingly, the most frequent answer is no. The few students who have ... -
PyDTNN: A user-friendly and extensible framework for distributed deep learning
Barrachina Mir, Sergio; Castelló, Adrián; Catalán Carbó, Mar; Dolz, Manuel F.; Mestre Miravet, Jose Ignacio Springer (2021-02-22)We introduce a framework for training deep neural networks on clusters of computers with the following appealing properties: (1) It is developed in Python, exposing an amiable interface that provides an accessible entry ... -
Statistical Approaches to Computer-Assisted Translation
Barrachina Mir, Sergio; Bender, Oliver; Casacuberta, Francisco; Civera, Jorge; Cubel, Elsa; Khadivi, Shahram; Lagarda, Antonio; Ney, Hermann; Tomás, Jesús; Vidal, Enrique; Vilar Torres, Juan Miguel Massachusetts Institute of Technology Press (MIT) (2009)Current machine translation (MT) systems are still not perfect. In practice, the output from these systems needs to be edited to correct errors. A way of increasing the productivity of the whole translation process (MT ... -
Toward the parallelization of GSL
Aliaga Estellés, José Ignacio; Almeida, Francisco; Badía, José; Barrachina Mir, Sergio; Blanco, Vicente; Castillo Catalán, María Isabel; Mayo, Rafael; Quintana-Orti, Enrique S.; Quintana-Ortí, Gregorio; Remón Gómez, Alfredo; Rodríguez, Casiano; De Sande, Francisco; Santos, Adrián Springer-Verlag (2009)In this paper, we present our joint efforts to design and develop parallel implementations of the GNU Scientific Library for a wide variety of parallel platforms. The multilevel software architecture proposed provides ... -
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs
Barrachina Mir, Sergio; Castelló, Adrián; Catalán Carbó, Mar; Dolz, Manuel F.; Mestre Miravet, Jose Ignacio Springer (2021-08-30)In this work, we build a general piece-wise model to analyze data-parallel (DP) training costs of convolutional neural networks (CNNs) on clusters of GPUs. This general model is based on i) multi-layer perceptrons (MLPs) ... -
Utilizando ARMSim y QtARMSim para la docencia de Arquitectura de Computadores
Barrachina Mir, Sergio; Fabregat Llueca, German; Fernández Fernández, Juan Carlos; León Navarro, Germán Universitat Jaume I (2015)Muchos de los objetivos formativos de las asignaturas de introducción a la Arquitectura de Computadores se centran en aquellos aspectos que conforman la visión que un programador en lenguaje ensamblador tiene de un ...