ListarGI-GAC - Artigos por tema "Multicore clusters"
Mostrando ítems 1-6 de 6
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Automatic mapping of parallel applications on multicore architectures using the Servet benchmark suite
(Pergamon Press, 2012-03)[Abstract] Servet is a suite of benchmarks focused on detecting a set of parameters with high influence on the overall performance of multicore systems. These parameters can be used for autotuning codes to increase their ... -
High-performance computing selection of models of DNA substitution for multicore clusters
(Sage Publications Ltd., 2014)[Abstract] This paper presents the high-performance computing (HPC) support of jModelTest2, the most popular bioinformatic tool for the statistical selection of models of DNA substitution. As this can demand vast computational ... -
ParBiBit: Parallel tool for binary biclustering on modern distributed-memory systems
(PLoS, 2018)[Abstract]: Biclustering techniques are gaining attention in the analysis of large-scale datasets as they identify two-dimensional submatrices where both rows and columns are correlated. In this work we present ParBiBit, ... -
parSRA: A framework for the parallel execution of short read aligners on compute clusters
(2018)[Abstract]: The growth of next generation sequencing datasets poses as a challenge to the alignment of reads to reference genomes in terms of both accuracy and speed. In this work we present parSRA, a parallel framework ... -
ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems
(SpringerLink, 2021-03-19)[Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ... -
The Servet 3.0 benchmark suite: characterization of network performance degradation
(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 ...