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Parallelizing dense and banded linear algebra libraries using SMPSs
TLDR
In this paper we describe how existing serial libraries such as (C)LAPACK and FLAME can be easily parallelized using the SMPSs tools, consisting of OpenMP‐like pragmas and a run‐time system. Expand
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A proposal for continuous assessment at low cost
TLDR
Continuous assessment in higher education can have among its goals: (1) help students to organize their study throughout the course; (2) provide useful feedback to the students; (3) provide teachers with information on the students' progress and needs; and (4) have a final mark which does not depend uniquely on the result of a final examination. Expand
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A study on new computational local orders of convergence
Four new variants of the Computational Order of Convergence (COC) of a one-point iterative method with memory for solving nonlinear equations are presented. Furthermore, the way to approximate theExpand
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A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization With Partial Pivoting
TLDR
We propose two novel techniques for overcoming load-imbalance encountered when implementing so-called look-ahead mechanisms in relevant dense matrix factorizations for the solution of linear systems. Expand
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On new computational local orders of convergence
TLDR
Four new variants of the Computational Order of Convergence (COC) of a one-point iterative method with memory for solving nonlinear equations are presented. Expand
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Tareador: a tool to unveil parallelization strategies at undergraduate level
TLDR
This paper presents a methodology and framework designed to assist students in the process of finding appropriate task decomposition strategies for their sequential program, as well as identifying bottlenecks in the later execution of the parallel program. Expand
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Evaluación continuada sin morir en el intento
Entre los objetivos de la evaluación continuada podemos destacar: ayudar a que el alumno organice su estudio a lo largo del curso, proporcionarle feedback y ofrecer la posibilidad que no se juegueExpand
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Hypermatrix oriented supernode amalgamation
TLDR
We introduce a supernode amalgamation algorithm which takes into account the characteristics of a hypermatrix data structure. Expand
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Improving Performance of Hypermatrix Cholesky Factorization
TLDR
This paper shows how a sparse hypermatrix Cholesky factorization can be improved. Expand
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Parallelizing dense and banded linear algebra libraries using SMPSs
TLDR
The promise of future many-core processors, with hundreds of threads running concurrently, has led the developers of linear algebra libraries to rethink their design in order to extract more parallelism, further exploit data locality, attain better load balance, and pay careful attention to the critical path of computation. Expand
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