Listar por autoría "f7c64e03-91dc-4223-8141-0cc01f32b481"
Mostrando ítems 1-8 de 8
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A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems
Aliaga Estellés, José Ignacio; Bollhöfer, Matthias; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. Springer (2017-05-28)The solution of sparse linear systems of large dimension is a critical step in problems that span a diverse range of applications. For this reason, a number of iterative solvers have been developed, among which ILUPACK ... -
Accelerating the Lyapack library using GPUs
Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S.; Remón Gómez, Alfredo Springer (2013)Lyapack is a package for the solution of large-scale sparse problems arising in control theory. The package has a modular design, and is implemented as a Matlab toolbox, which renders it easy to utilize, modify and extend ... -
Accelerating the task/data-parallel version of ILUPACK’s BiCG in multi-CPU/GPU configurations
Aliaga Estellés, José Ignacio; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. Elsevier (2019)ILUPACK is a valuable tool for the solution of sparse linear systems via iterative Krylov subspace-based methods. Its relevance for the solution of real problems has motivated several efforts to enhance its performance on ... -
An efficient GPU version of the preconditioned GMRES method
Aliaga Estellés, José Ignacio; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. Springer (2019-03)In a large number of scientific applications, the solution of sparse linear systems is the stage that concentrates most of the computational effort. This situation has motivated the study and development of several iterative ... -
Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems
Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. Springer Berlin Heidelberg (2015-09)We analyze the efficiency of servers equipped with state-of-the-art general-purpose multicore processors as well as platforms based on accelerators such as graphics processing units (GPUs) and the Intel Xeon Phi. Following ... -
Exploiting Task and Data Parallelism in ILUPACK's Preconditioned CG Solver on NUMA Architectures and Many-core Accelerators
Aliaga Estellés, José Ignacio; Badía Sala, Rosa María; Barreda Vayá, Maria; Bollhöffer, Matthias; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. Elsevier (2016-05)We present specialized implementations of the preconditioned iterative linear system solver in ILUPACK for Non-Uniform Memory Access (NUMA) platforms and many-core hardware co-processors based on the Intel Xeon Phi and ... -
Extending lyapack for the solution of band Lyapunov equations on hybrid CPU–GPU platforms
Benner, Peter; Remón Gómez, Alfredo; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. Springer Verlag (2015)The solution of large-scale Lyapunov equations is an important tool for the solution of several engineering problems arising in optimal control and model order reduction. In this work, we investigate the case when the ... -
Unleashing GPU acceleration for symmetric band linear algebra kernels and model reduction
Benner, Peter; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S.; Remón Gómez, Alfredo © Springer International Publishing AG (2015-12)Linear algebra operations arise in a myriad of scientific and engineering applications and, therefore, their optimization is targeted by a significant number of high performance computing (HPC) research efforts. In particular, ...