Listar UJI: Investigación por autoría "7c1c0bf7-9583-4bf7-b497-213e4df60ccb"
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Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy
IEEE (2014)Wider coverage of observation missions will increase onboard power restrictions while, at the same time, pose higher demands from the perspective of processing time, thus asking for the exploration of novel high-performance ... -
Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors
Elsevier (2018-03)Dense linear algebra libraries, such as BLAS and LAPACK, provide a relevant collection of numerical tools for many scientific and engineering applications. While there exist high performance implementations of the BLAS ... -
Optimized Fundamental Signal Processing Operations For Energy Minimization on Heterogeneous Mobile Devices
IEEE (2018-05)Numerous signal processing applications are emerging on both mobile and high-performance computing systems. These applications are subject to responsiveness constraints for user interactivity and, at the same time, must ...
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Out-of-Core Solution of Linear Systems on Graphic Processors
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 ...
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Practical considerations for acoustic source localization in the IoT era: Platforms, energy efficiency, and performance
IEEE (2019-06)The rapid development of the Internet of Things (IoT) has posed important changes in the way emerging acoustic signal processing applications are conceived. While traditional acoustic processing applications have been ...
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Programming parallel dense matrix factorizations with look-ahead and OpenMP
Springer (2019)We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extracts concurrency from a multi-threaded ...
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Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures
Springer Berlin Heidelberg (2010)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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Revisiting conventional task schedulers to exploit asymmetry in multi-core architectures for dense linear algebra operations
Elsevier (2017)Dealing with asymmetry in the architecture opens a plethora of questions related with the performance- and energy-efficient scheduling of task-parallel applications. While there exist early attempts to tackle this problem, ...
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Scheduling algorithms-by-blocks on small clusters
Wiley (2012-03-28)The arrival of multicore architectures has generated an interest in reformulating dense matrix computations as algorithms-by-blocks, where submatrices are units of data and computations with those blocks are units of ...
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Solving dense generalized eigenproblems on multi-threaded architectures
Elsevier (2012-07)We compare two approaches to compute a fraction of the spectrum of dense symmetric definite generalized eigenproblems: one is based on the reduction to tridiagonal form, and the other on the Krylov-subspace iteration. ...
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Solving Dense Linear Systems on Graphics Processors
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 ...
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Solving weighted least squares (WLS) problems on arm-based architectures
Springer (2016-11)The Weighted Least Squares algorithm (WLS) is applied to numerous optimization problems, but requires the use of high computational resources, especially when complex arithmetic is involved. This work aims to accelerate ...
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Speeding up the log-polar transform with inexpensive parallel hardware: graphics units and multi-core architectures
Springer-Verlag (2012)Log-polar imaging is a kind of foveal, biologically inspired visual representation with advantageous properties in practical applications in computer vision, robotics, and other fields. While the cheapest, most flexible, ...
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The FLAME approach: From dense linear algebra algorithms to high-performance multi-accelerator implementations
Elsevier (2012)Parallel accelerators are playing an increasingly important role in scientific computing. However, it is perceived that their weakness nowadays is their reduced “programmability” in comparison with traditional general-purpose ...
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Time and energy modeling of a high-performance multi-threaded Cholesky factorization
Springer (2016-02-05)We present accurate time and energy piece-wise models of high-performance multi-threaded implementations for the general matrix multiplication, triangular system solve with multiple right-hand sides, and symmetric rank-k ...
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Time and energy modeling of high–performance Level-3 BLAS on x86 architectures
Elsevier (2015-06)We present accurate piece-wise models for the time and energy costs of high performance implementations of both the matrix multiplication (gemm) and the triangular system solve with multiple right-hand sides (trsm) on x86 ...
