EDBT 2026 Demo / reviewers in the wild / expert

Luis Landesa

dblp:124/6708 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-8620-4212ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 50% Parallel and multicore computing · 38% Performance modeling and evaluation · 12%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel algorithms		 0.212013
MLFMA-FFT Parallel Algorithm for the Solution of Extremely Large Problems in Electromagnetics · Proc. IEEE 2013
High-performance computing › parallel numerical algorithms
parallel fast multipole method		 0.212013
MLFMA-FFT Parallel Algorithm for the Solution of Extremely Large Problems in Electromagnetics · Proc. IEEE 2013
Computational science and engineering › computational physics
computational electromagnetics		 0.012013
MLFMA-FFT Parallel Algorithm for the Solution of Extremely Large Problems in Electromagnetics · Proc. IEEE 2013
Performance modeling and evaluation
parallel performance evaluation		 0.012013
MLFMA-FFT Parallel Algorithm for the Solution of Extremely Large Problems in Electromagnetics · Proc. IEEE 2013
High-performance computing
performance optimization at scale		 0.012013
MLFMA-FFT Parallel Algorithm for the Solution of Extremely Large Problems in Electromagnetics · Proc. IEEE 2013

Methods — techniques the papers use, named apart from their topics

multilevel fast multipole algorithm · 0.3fast fourier transform · 0.3
YearPublicationVenuePosition
2019 Fast solution of electromagnetic scattering problems using Xeon Phi coprocessors
J. L. Campon, Luis Landesa
 J. Supercomput.2
2013 MLFMA-FFT Parallel Algorithm for the Solution of Extremely Large Problems in Electromagnetics
abstract
An efficient parallel implementation of the multilevel fast multipole algorithm-fast Fourier transform (MLFMA-FFT) has been successfully used to solve an electromagnetic problem involving one billion of unknowns, which indeed becomes the largest problem solved with the surface integral-equation approach up to now. In this paper, we present a deep review of this challenging execution, focusing on the details of the parallel implementation step by step, with the aim of describing the different stages of the parallel algorithm and analyzing its overall parallel performance.
Jose Manuel Taboada, Marta G. Araújo, Fernando Obelleiro Basteiro, José Luis Rodríguez, Luis Landesa
 Proc. IEEE5