Listar ICC_Reports por autoría "4eeb2085-f242-47ae-82f0-6c88ea5c4680"
Mostrando ítems 1-9 de 9
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Attaining High Performance in General-Purpose Computations on Current Graphics Processors
Igual, Francisco; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-01)The increase in performance of the last generations of graphics processors (GPUs) has made this class of hardware a coprocessing platform of remarkable success in certain types of operations. In this paper we evaluate ... -
Concurrent and Accurate RNA Sequencing on Multicore Platforms
Martínez Pérez, Héctor; Tárraga, Joaquín; Medina, Ignacio; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Dopazo, Joaquín; Quintana-Orti, Enrique S. Departament d'Enginyeria i Ciència dels Computadors, Universitat Jaume I (2013-04-02)In this paper we introduce a novel parallel pipeline for fast and accurate mapping of RNA sequences on servers equipped with multicore processors. Our software, named HPG-aligner1, leverages the speed of the Burrows-Whe ... -
DVFS-Technique for Dense Linear Algebra Operations on Multi-Core Processors
Alonso-Jordá, Pedro; Dolz, Manuel F.; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2011-05)This paper addresses the efficient explotation of task-level parallelism, present in many dense linear algebra operations, from the point of view of both computational performance and energy consumption. In particular, ... -
Evaluation and Tuning of the Level 3 CUBLAS for Graphics Processors
Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Igual, Francisco; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-01)The increase in performance of the last generations of graphics processors (GPUs) has made this class of platform a coprocessing tool with remarkable success in certain types of operations. In this paper we evaluate the ... -
GLAME@lab: An M-script API for Linear Algebra Operations on Graphics Processors
Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Igual, Francisco; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-02)We propose two high-level application programming interfaces (APIs) to use a graphics processing unit (GPU) as a coprocessor for dense linear algebra operations. Combined with an extension of the FLAME API and an ... -
Out-of-Core Solution of Linear Systems on Graphic Processors
Castillo Catalán, María Isabel; Igual, Francisco; Mayo, Rafael; Rubio, Rafael; Quintana-Ortí, Gregorio; Quintana-Orti, Enrique S.; Van de Geijn, Robert A. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-05)We combine two high-level application programming interfaces to solve large-scale linear systems with the data stored on disk using current graphics processors. The result is a simple yet powerful tool that enables a ... -
Reducing Power Consumption of the LU Factorization with Partial Pivoting on Multi-Core Processors
Alonso-Jordá, Pedro; Dolz, Manuel F.; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2011-07)In this paper we analyze the trade-off between energy and performance for a data- parallel execution of the LU factorization with partial pivoting on a multi-core proces- sor. To improve power efficiency, we adapt the ... -
Solving Dense Linear Systems on Graphics Processors
Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Igual, Francisco; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-02)We present several algorithms to compute the solution of a linear system of equations on a GPU, as well as general techniques to improve their performance, such as padding and hybrid GPU-CPU computation. We also show how ... -
Solving “Large” Dense Matrix Problems on Multi-Core Processors and GPUs
Marqués-Andrés, Mercedes; Quintana-Ortí, Gregorio; Quintana-Orti, Enrique S.; Van de Geijn, Robert A. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2009-01)Few realize that, for large matrices, many dense matrix computations achieve nearly the same performance when the matrices are stored on disk as when they are stored in a very large main memory. Similarly, few realize ...