Exploració per autor "Miranda Álamo, Guillermo"
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CUDAlign 3.0: Parallel biological sequence comparison in large GPU clusters
De Sandes, Edans; Miranda Álamo, Guillermo; De Melo, Alba Cristina Magalhaes Alves; Martorell Bofill, Xavier; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper proposes and evaluates a parallel strategy to execute the e+ xact Smith-Waterman (SW) biological sequence comparison algorithm for huge DNA sequences in multi-GPU platforms. In our strategy, the computation of ... -
Dense matrix computations on NUMA architectures with distance-aware work stealing
Al-Omairy, Rabab; Miranda Álamo, Guillermo; Ltaief, Hatem; Badia Sala, Rosa Maria; Martorell Bofill, Xavier; Labarta Mancho, Jesús José; Keyes, David E. (2015-03)
Article
Accés obertWe employ the dynamic runtime system OmpSs to decrease the overhead of data motion in the now ubiquitous non-uniform memory access (NUMA) high concurrency environment of multicore processors. The dense numerical linear ... -
Fine-grain parallel megabase sequence comparison with multiple heterogeneous GPUs
De Sandes, Edans; Miranda Álamo, Guillermo; Melo, Alba; Martorell Bofill, Xavier; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper proposes and evaluates a parallel strategy to execute the exact Smith-Waterman (SW) algorithm for megabase DNA sequences in heterogeneous multi-GPU platforms. In our strategy, the computation of a single huge ... -
Fine-grain parallel megabase sequence comparison with multiple heterogeneous GPUs
De Sandes, Edans; Miranda Álamo, Guillermo; De Melo, Alba Cristina Magalhaes Alves; Martorell Bofill, Xavier; Ayguadé Parra, Eduard (2014-08-01)
Article
Accés restringit per política de l'editorialThis paper proposes and evaluates a parallel strategy to execute the exact Smith-Waterman (SW) algorithm for megabase DNA sequences in heterogeneous multi-GPU platforms. In our strategy, the computation of a single huge ...