Listar GI-GAC - Artigos por autor "González, Patricia"
Mostrando ítems 21-29 de 29
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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 ... -
Multimethod optimization in the cloud: A case‐study in systems biology modelling
González, Patricia; Penas, David R.; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Wiley, 2018-06-25)[Abstract] Optimization problems appear in many different applications in science and engineering. A large number of different algorithms have been proposed for solving them; however, there is no unique general optimization ... -
Parallel ant colony optimization for the training of cell signaling networks
González, Patricia; Prado-Rodriguez, Roberto; Gábor, Attila; Saez-Rodriguez, Julio; Banga, Julio R.; Doallo, Ramón (Elsevier, 2022)[Abstract]: Acquiring a functional comprehension of the deregulation of cell signaling networks in disease allows progress in the development of new therapies and drugs. Computational models are becoming increasingly popular ... -
Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
Penas, David R.; González, Patricia; Egea, Jose A.; Doallo, Ramón; Banga, Julio R. (BioMed Central Ltd., 2017)[Abstract] Background The development of large-scale kinetic models is one of the current key issues in computational systems biology and bioinformatics. Here we consider the problem of parameter estimation in nonlinear ... -
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier, 2024-03)[Abstract]: Over the years metaheuristics have been successfully applied to optimization problems in many real-world applications. The increasing complexity and scale of the problems addressed has posed new challenges to ... -
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. ... -
Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment
Pardo, Xoán C.; Argüeso-Alejandro, Pablo; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier BV, 2020-12)[Abstract] Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ... -
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 ...