Listar UJI: Investigación por autoría "4eeb2085-f242-47ae-82f0-6c88ea5c4680"
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Blocked algorithms for the reduction to Hessenberg-triangular form revisited
Springer (2008-09)We present two variants of Moler and Stewart’s algorithm for reducing a matrix pair to Hessenberg-triangular (HT) form with increased data locality in the access to the matrices. In one of these variants, a careful ... -
Characterization of Multicore Architectures using Task-Parallel ILU-type Preconditioned CG Solvers
(2017-07-05)We investigate the eficiency of state-of-the-art multicore processors using a multi-threaded task-parallel implementation of the Conjugate Gradient (CG) method, accelerated with an incomplete LU (ILU) preconditioner. ... -
Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems
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 ...
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Communication in task-parallel ILU-preconditioned CG solversusing MPI + OmpSs
Wiley (2017-11-10)We target the parallel solution of sparse linear systems via iterative Krylov subspace–based methods enhanced with incomplete LU (ILU)-type preconditioners on clusters of multicore processors. In order to tackle large-scale ...
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Compressed basis GMRES on high-performance graphics processing units
Sage (2022-08-05)Krylov methods provide a fast and highly parallel numerical tool for the iterative solution of many large-scale sparse linear systems. To a large extent, the performance of practical realizations of these methods is ...
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Compression and load balancing for efficient sparse matrix-vector product on multicore processors and graphics processing units
John Wiley and Sons (2021)We contribute to the optimization of the sparse matrix-vector product by introducing a variant of the coordinate sparse matrix format that balances the workload distribution and compresses both the indexing arrays and the ...
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Concurrent and Accurate RNA Sequencing on Multicore Platforms
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 ...
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Concurrent and Accurate Short Read Mapping on Multicore Processors
IEEE (2015-09)We introduce a parallel aligner with a work-flow organization for fast and accurate mapping of RNA sequences on servers equipped with multicore processors. Our software, HPG Aligner SA1, exploits a suffix array to rapidly ...
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Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures
Wiley (2011-11-10)We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the symmetric ...
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Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor
IEEE (2022)The convolution operator is a crucial kernel for many computer vision and signal processing applications that rely on deep learning (DL) technologies. As such, the efficient implementation of this operator has received ...
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Deriving dense linear algebra libraries
Springer London (2013-11)Starting in the late 1960s computer scientists including Dijkstra and Hoare advocated goal- oriented programming and the formal derivation of algorithms. The chief impediment to realizing this for loop-based programs was ...
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DMR API: Improving cluster productivity by turning applications into malleable
Elsevier (2018)Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with ...
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DMRlib: Easy-coding and Efficient Resource Management for Job Malleability
IEEE (2020-09-09)Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the non-negligible ...
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DVFS-control techniques for dense linear algebra operations on multi-core processors
Springer (2012-11)This paper analyzes the impact on power consumption of two DVFS-control strategies when applied to the execution of dense linear algebra operations on multi-core processors. The strategies considered here, prototyped as ...
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DVFS-Technique for Dense Linear Algebra Operations on Multi-Core Processors
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, ...
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Dynamic Management of Resource Allocation for OmpSs Jobs
Carretero Pérez, Jesús (2016-02)The main purpose of this thesis is to research in the relation between task-based programming models and resource management systems in order to provide a smart autonomous load-balancing and fault-tolerant system. Thus, ...
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Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors
Elsevier (2022-05-30)Convolutional Neural Networks (CNNs) play a crucial role in many image recognition and classification tasks, recommender systems, brain-computer interfaces, etc. As a consequence, there is a notable interest in developing ...
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Efficient and portable Winograd convolutions for multi-core processors
Springer (2023-02-12)We take a step forward towards developing high-performance codes for the convolution operator, based on the Winograd algorithm, that are easy to customise for general-purpose processor architectures. In our approach, ...
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Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors
IEEE (2014)Anomaly detection is an important task for hyperspectral data exploitation. Although many algorithms have been developed for this purpose in recent years, due to the large dimensionality of hyperspectral image data, fast ...
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Efficient model order reduction of large-scale systems on multi-core platforms
Springer (2011)We propose an efficient implementation of the Balanced Truncation (BT) method for model order reduction when the state-space matrix is symmetric (positive definite). Most of the computational effort required by this method ...
