• Fiuncho: a program for any-order epistasis detection in CPU clusters 

      Ponte-Fernández, Christian; González-Domínguez, Jorge; Martín, María J. (Springer, 2022)
      [Abstract]: Epistasis can be defined as the statistical interaction of genes during the expression of a phenotype. It is believed that it plays a fundamental role in gene expression, as individual genetic variants have ...
    • Improving Scalability of Application-Level Checkpoint-Recovery by Reducing Checkpoint Sizes 

      Cores González, Iván; Rodríguez, Gabriel; Martín, María J.; González, Patricia; Osorio, Roberto (Springer Japan KK, 2013)
      [Abstract] The execution times of large-scale parallel applications on nowadays multi/many-core systems are usually longer than the mean time between failures. Therefore, parallel applications must tolerate hardware failures ...
    • In-memory application-level checkpoint-based migration for MPI programs 

      Cores González, Iván; Rodríguez, Gabriel; Martín, María J.; González, Patricia (Springer New York LLC, 2014)
      [Abstract] Process migration provides many benefits for parallel environments including dynamic load balancing, data access locality or fault tolerance. This paper describes an in-memory application-level checkpoint-based ...
    • Integrating the common information model with MDS4 

      Díaz, Iván; Fernández, G.; Martín, María J.; González, Patricia; Touriño, Juan (IEEE Computer Society, 2008-10-31)
      [Abstract] The management and monitoring of static and dynamic resources is a key issue in grid environments. Information models are an abstract representation of software and hardware aspects of these resources, a common ...
    • Local Rollback for Resilient Mpi Applications With Application-Level Checkpointing and Message Logging 

      Losada, Nuria; Bosilca, George; Bouteiller, Aurelien; González, Patricia; Martín, María J. (Elsevier BV * North-Holland, 2019-02)
      [Abstract] The resilience approach generally used in high-performance computing (HPC) relies on coordinated checkpoint/restart, a global rollback of all the processes that are running the application. However, in many ...
    • Novel parallelization of simulated annealing and Hooke & Jeeves search algorithms for multicore systems with application to complex fisheries stock assessment models 

      Vázquez Pardo, Sergio; Martín, María J.; Fraguela, Basilio B.; Gómez, Andrés; Rodríguez, Aurelio; Elvarsson, Bjarki Þór (Elsevier Ltd, 2016-11)
      [Abstract] Estimating parameters of a statistical fisheries assessment model typically involves a comparison of disparate datasets to a forward simulation model through a likelihood function. In all but trivial cases the ...
    • On processing extreme data 

      Petcu, Dana; Iuhasz, Gabriel; Pop, Daniel; Talia, Domenico; Carretero, Jesús; Prodan, Radu; Fahringer, Thomas; Grasso, Ivan; Doallo, Ramón; Martín, María J.; Fraguela, Basilio B.; Trobec, Roman; Depolli, Matjaz; Almeida Rodriguez, Francisco; Sande, Francisco de; Da Costa, Georges; Pierson, Jean-Marc; Anastasiadis, Stergios; Bartzokas, Aristides; Lolis, Christos; Gonçalves, Pedro; Brito, Fabrice; Brown, Nick (Universitatea de Vest din Timisoara,West University of Timisoara, 2016)
      [Abstract] Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in near real-time by using a very large number of memory or storage ...
    • Parallel definition of tear film maps on distributed-memory clusters for the support of dry eye diagnosis 

      González-Domínguez, Jorge; Remeseiro, Beatriz; Martín, María J. (Elsevier Ireland Ltd., 2017)
      [Abstract] Background and objectives The analysis of the interference patterns on the tear film lipid layer is a useful clinical test to diagnose dry eye syndrome. This task can be automated with a high degree of accuracy ...
    • Parallelization of ARACNe, an Algorithm for the Reconstruction of Gene Regulatory Networks 

      Casal, Uxía; González-Domínguez, Jorge; Martín, María J. (M D P I AG, 2019-07-31)
      [Abstract] Gene regulatory networks are graphical representations of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression. There are different computational ...
    • PARamrfinder: detecting allele-specific DNA methylation on multicore clusters 

      Fernández Fraga, Alejandro; González-Domínguez, Jorge; Martín, María J. (Springer, 2024-01)
      [Abstract]: The discovery of Allele-Specific Methylation (ASM) is an important research field in biology as it regulates genomic imprinting, which has been identified as the cause of some genetic diseases. Nevertheless, ...
    • Performance Evaluation of Sparse Matrix Products in UPC 

      González-Domínguez, Jorge; García-López, Óscar; Taboada, Guillermo L.; Martín, María J.; Touriño, Juan (Springer New York LLC, 2013-04)
      [Abstract] Unified Parallel C (UPC) is a Partitioned Global Address Space (PGAS) language whose popularity has increased during the last years owing to its high programmability and reasonable performance through an efficient ...
    • PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models 

      González-Seoane, Borja; Ponte-Fernández, Christian; González-Domínguez, Jorge; Martín, María J. (BMC, 2022)
      [Abstract] Background Epistasis is the interaction between different genes when expressing a certain phenotype. If epistasis involves more than two loci it is called high-order epistasis. High-order epistasis is an area ...
    • Reducing the overhead of an MPI application-level migration approach 

      Cores González, Iván; Rodríguez, Mónica; González, Patricia; Martín, María J. (Elsevier BV * North-Holland, 2016)
      [Abstract] Process migration provides many benefits for parallel environments including dynamic load balance, data access locality, or fault tolerance. This work proposes a solution that reduces the memory and I/O overhead ...
    • Resilient MPI applications using an application-level checkpointing framework and ULFM 

      Losada, Nuria; Cores González, Iván; Martín, María J.; González, Patricia (Springer New York LLC, 2017-01)
      [Abstract] Future exascale systems, formed by millions of cores, will present high failure rates, and long-running applications will need to make use of new fault tolerance techniques to ensure successful execution completion. ...
    • Servet: A Benchmark Suite for Autotuning on Multicore Clusters 

      González-Domínguez, Jorge; Taboada, Guillermo L.; Fraguela, Basilio B.; Martín, María J.; Touriño, Juan (Institute of Electrical and Electronics Engineers, 2010-05-24)
      [Abstract] MapReduce is a powerful tool for processing large data sets used by many applications running in distributed environments. However, despite the increasing number of computationally intensive problems that require ...
    • 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 ...
    • 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 ...
    • 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, ...