Listar por autoría "d1d592b2-abd5-449d-9a7c-143b1de4b854"
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A fast band–Krylov eigensolver for macromolecular functional motion simulation on multicore architectures and graphics processors
Elsevier (2016-03-15)We introduce a new iterative Krylov subspace-based eigensolver for the simulation of macromolecular motions on desktop multithreaded platforms equipped with multicore processors and, possibly, a graphics accelerator (GPU). ... -
A pipeline structure for the block QR update in digital signal processing
Springer (2019-03)There exist problems in the field of digital signal processing, such as filtering of acoustic signals that require processing a large amount of data in real time. The beamforming algorithm, for instance, is a process that ... -
Accelerating multi-channel filtering of audio signal on ARM processors
Springer Verlag (2016-03)
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Application of Multi-core and GPU Architectures on Signal Processing: Case Studies
Universidad Politécnica de Valencia (2010)In this article part of the techniques and developments we are carrying out within the INCO2 group are reported. Results follow the interdisciplinary approach with which we tackle signal processing applications. Chosen ...
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Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers
Elsevier (2014-06)Large-scale distributed systems (e.g., datacenters, HPC systems, clouds, large-scale networks, etc.) consume and will consume enormous amounts of energy. Therefore, accurately monitoring the power dissipation and energy ...
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Automatic generation of ARM NEON micro‑kernels for matrix multiplication
Springer (2024-03-12)General matrix multiplication (gemm) is a fundamental kernel in scientifc computing and current frameworks for deep learning. Modern realisations of gemm are mostly written in C, on top of a small, highly tuned micro-kernel ...
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Charge control in laterally coupled double quantum dots
American Physical Society (2011-07-27)We investigate the electronic and optical properties of InAs double quantum dots grown on GaAs (001) and laterally aligned along the [110] crystal direction. The emission spectrum has been investigated as a function of a ...
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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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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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Energy-efficient execution of dense linear algebra algorithms on multi-core processors
Springer Verlag (2013-09)This paper addresses the efficient exploitation of task-level parallelism, present in many dense linear algebra operations, from the point of view of both computational performance and energy consumption. The strategies ...
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Enhancing performance and energy consumption of runtime schedulers for dense linear algebra
Wiley (2014-06)The road towards Exascale Computing requires a holistic effort to address three different challenges simultaneously: high performance, energy efficiency, and programmability. The use of runtime task schedulers to orchestrate ...
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Fast block QR update in digital signal processing
Springer (2019-03)The processing of digital sound signals often requires the computation of the QR factorization of a rectangular system matrix. However, sometimes, only a given (and probably small) part of the system matrix varies from the ...
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High Performance and Portable Convolution Operators for Multicore Processors
IEEE (2020-10)The considerable impact of Convolutional Neural Networks on many Artificial Intelligence tasks has led to the development of various high performance algorithms for the convolution operator present in this type of networks. ...
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Increasing data locality and introducing Level-3 BLAS in the Neville elimination
Elsevier (2011-12-01)In this paper we present two new algorithmic variants to compute the Neville elimination, with and without pivoting, which improve data locality and cast most of the computations in terms of high-performance Level 3 BLAS. ...
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Modeling power and energy consumption of dense matrix factorizations on multicore processors
Wiley (2013-10-11)In this paper, we propose a model for the energy consumption of the concurrent execution of three key dense matrix factorizations, with task parallelism leveraged via the Symmetric Multi-Processing Superscalar (SMPSs) ...
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Modeling power and energy of the task-parallel Cholesky factorization on multicore processors
Springer Berlin Heidelberg (2014-05)In this paper we introduce a model for the total energy consumption of the Cholesky factorization on a multicore processor. Our model assumes a task-parallel execution of the factorization process, with concurrency leveraged ...
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Performance modeling of the sparse matrix–vector product via convolutional neural networks
Springer (2020-02-04)Modeling the execution time of the sparse matrix–vector multiplication (SpMV) on a current CPU architecture is especially complex due to (i) irregular memory accesses; (ii) indirect memory referencing; and (iii) low ...
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Reducing Power Consumption of the LU Factorization with Partial Pivoting on Multi-Core Processors
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 ...
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The Impact of the Multi-core Revolution on Signal Processing
Universidad Politécnica de Valencia (2010)This paper analyzes the influence of new multi- core and many-core architectures on Signal Processing. The article covers both the architectural design and the programming models of current general-purpose multi-core ...
