• SparkEC: speeding up alignment-based DNA error correction tools 

      Expósito, Roberto R.; Martínez-Sánchez, Marco; Touriño, Juan (BioMed Central (Springer), 2022)
      [Abstract]: In recent years, huge improvements have been made in the context of sequencing genomic data under what is called Next Generation Sequencing (NGS). However, the DNA reads generated by current NGS platforms are ...
    • Sparse Givens QR Factorization on a Multiprocessor 

      Touriño, Juan; Doallo, Ramón; Zapata, E.L. (IEEE Computer Society, 1996-06-01)
      [Abstract] We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by means of Givens rotations. Nonzero elements of the matrix M to be decomposed are stored in a one dimensional ...
    • Sparse Householder QR factorization on a mesh 

      Doallo, Ramón; Touriño, Juan; Zapata, Emilio L. (IEEE Computer Society, 1996-01)
      [Abstract] We analyze the parallelization of QR factorization by means of Householder transformations. This parallelization is carried out on a machine with a mesh topology (a 2-D torus to be more precise). We use a cyclic ...
    • Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs 

      Jünger, Daniel; Hundt, Christian; González-Domínguez, Jorge; Schmidt, Bertil (Springer, 2017)
      [Abstract]: The discovery of higher-order epistatic interactions is an important task in the field of genome wide association studies which allows for the identification of complex interaction patterns between multiple ...
    • STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning 

      López Castro, Roberto; Andrade, Diego; Fraguela, Basilio B. (Institute of Electrical and Electronics Engineers, 2024-05)
      [Abstract]: The relentless growth of modern Machine Learning models has spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands. Network pruning has demonstrated ...
    • Supporting multi-resolution out-of-core rendering of massive LiDAR point clouds through non-redundant data structures 

      Deibe, David; Amor, Margarita; Doallo, Ramón (Taylor & Francis Group, 2019-03)
      [Abstract]: In recent years, the evolution and improvement of LiDAR (Light Detection and Ranging) hardware has increased the quality and quantity of the gathered data, making the storage, processing and management thereof ...
    • Synthesis of Multiresolution Scenes with Global Illumination on a GPU 

      Concheiro, Raquel; Amor, Margarita; Bóo, Montserrat; Iglesias, Iago; Padrón, Emilio J.; Doallo, Ramón (SciTePress, 2012-02)
      [Abstract] The radiosity computation has the important feature of producing view independent results, but these results are mesh dependent and, in consequence, are attached to a specific level of detail in the input mesh. ...
    • Texture Mapping on NURBS Surface 

      Vázquez Pardo, Sergio; Amor, Margarita (M D P I AG, 2018-09-17)
      [Abstract] Texture mapping allows high resolution details over 3D surfaces. Nevertheless, texture mapping has a number of unresolved problems such as distortion, boundary between textures or filtering. On the other hand, ...
    • The HPS3 Service: Reduction of Cost and Transfer Time for Storing Data on Clouds 

      Veiga, Jorge; Taboada, Guillermo L.; Pardo, Xoán C.; Touriño, Juan (IEEE Computer Society, 2015-03-12)
      [Abstract] In the past several years, organizations have been changing their storage methods as the volume of data they managed has increased. The cloud computing paradigm offers new ways of storing data based on scalability ...
    • The New UPC++ DepSpawn High Performance Library for Data-Flow Computing with Hybrid Parallelism 

      Fraguela, Basilio B.; Andrade, Diego (Springer, 2022)
      [Abstract] Data-flow computing is a natural and convenient paradigm for expressing parallelism. This is particularly true for tools that automatically extract the data dependencies among the tasks while allowing to exploit ...
    • The Phylogenetic Likelihood Library 

      Flouri, Tomas; Izquierdo-Carrasco, F.; Darriba, Diego; Aberer, Andre J.; Nguyen, Lam-Tung; Minh, B.Q.; Haeseler, Arndt von; Stamatakis, Alexandros (Oxford University Press, 2015-03-01)
      [Abstract] We introduce the Phylogenetic Likelihood Library (PLL), a highly optimized application programming interface for developing likelihood-based phylogenetic inference and postanalysis software. The PLL implements ...
    • The Servet 3.0 benchmark suite: characterization of network performance degradation 

      González-Domínguez, Jorge; Martín, María J.; Taboada, Guillermo L.; Expósito, Roberto R.; Touriño, Juan (Pergamon Press, 2013-11)
      [Abstract] Servet is a suite of benchmarks focused on extracting a set of parameters with high influence on the overall performance of multicore clusters. These parameters can be used to optimize the performance of parallel ...
    • The Wall Lizards of the Balkan Peninsula: Tackling Questions at the Interphase of Phylogenomics and Population Genomics 

      Psonis, Nikolaos; Antioniou, Aglaia; Karameta, Emmanouela; Darriba, Diego; Stamatakis, Alexandros; Lymberakis, Petros; Poulakakis, Nikos (Elsevier, 2021)
      [Abstract] Wall lizards of the genus Podarcis (Sauria, Lacertidae) are the predominant reptile group in southern Europe, including 24 recognized species. Mitochondrial DNA data have shown that, with the exception of P. ...
    • Towards a Self-Sufficient Face Verification System 

      López-López, Eric; Regueiro, Carlos V.; Pardo, Xosé Manuel; Franco, Annalisa; Lumini, Alessandra (Elsevier, 2021)
      [Abstract] The absence of a previous collaborative manual enrolment represents a significant handicap towards designing a face verification system for face re-identification purposes. In this scenario, the system must learn ...
    • Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark 

      Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Sage Publications Ltd., 2016-11-28)
      [Abstract] Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...
    • Towards Low-Latency Model-Oriented Distributed Systems Management 

      Díaz, Iván; Touriño, Juan; Doallo, Ramón (Springer, 2007)
      [Abstract] Windows and Unix systems have been traditionally very different with regard to configuration storage and management. In this paper we have adapted our CIM-based model-driven management framework, AdCIM, to ...
    • Toxo: A Library for Calculating Penetrance Tables of High-Order Epistasis Models 

      Ponte-Fernández, Christian; González-Domínguez, Jorge; Carvajal-Rodriguez, Antonio; Martín, María J. (BioMed Central Ltd., 2020-04-09)
      [Abstract] Background Epistasis is defined as the interaction between different genes when expressing a specific phenotype. The most common way to characterize an epistatic relationship is using a penetrance table, which ...
    • Tree Partitioning Reduction: A New Parallel Partition Method for Solving Tridiagonal Systems 

      Pérez Diéguez, Adrián; Amor, Margarita; Doallo, Ramón (Association for Computing Machinery (ACM), 2019-08)
    • Truncated SIMD Multiplier Architecture for Approximate Computing in Low-Power Programmable Processors 

      Osorio, Roberto; Rodríguez, Gabriel (Institute of Electrical and Electronics Engineers, 2019)
      [Abstract]: Approximate computing has been exploited for many years in application-specific architectures. Recently, it has also been proposed for low-power programmable processors. However, this poses some challenges as, ...
    • UPCBLAS: a library for parallel matrix computations in Unified Parallel C 

      González-Domínguez, Jorge; Martín, María J.; Taboada, Guillermo L.; Touriño, Juan; Doallo, Ramón; Mallón, Damián A.; Wibecan, Brian (John Wiley & Sons Ltd., 2012-09-25)
      [Abstract] The popularity of Partitioned Global Address Space (PGAS) languages has increased during the last years thanks to their high programmability and performance through an efficient exploitation of data locality, ...