RT Journal Article
T1 SkewEngine: enhancing performance of intensive calculations on regular meshes
A1 Romero, Felipe
A1 Ortigosa, Pilar M.
A1 Bandera-Burgueño, Gerardo
A1 Romero-Gómez, Luis Felipe
K1 Informática - Aplicaciones
AB In various applications such as hyperspectral data manipulation, MRI data exploration, or viewshed identification in digital elevation models, performing arithmetic operations on each point of a data mesh that involves other points can lead to computationally intractable problems. This paper presents SkewEngine, a tool designed to improve the performance of intensive calculations on regular 2-D data meshes, such as images, multispectral data volumes, or digital elevation models. SkewEngine addresses this problem by reorganizing the mesh in memory according to a preferred spatial direction, enabling more efficient execution of intensive calculations. It is demonstrated that SkewEngine offers significant speed improvements for various test cases, suggesting its usefulness in a broader range of applications requiring intensive data processing on regular meshes.
PB Springer Nature
YR 2024
FD 2024-02-24
LK https://hdl.handle.net/10630/30759
UL https://hdl.handle.net/10630/30759
LA eng
NO Romero, Felipe & Ortigosa, Pilar & Bandera, Gerardo & Romero, Luis. (2023). SkewEngine: Enhancing Performance of Intensive Calculations on Regular Meshes. 10.21203/rs.3.rs-3342748/v1
NO Funding for open access charge: Universidad de Málaga/CBUA.This work has been fnanced by the Spanish Ministry of Science and Technology through the National Plan project PID2022-136575OB-I00, by the Andalusian Government and FEDER funds through the UMA20-FEDERJA-127 project, and by the University of Malaga (PIE22-099). We also thank the Supercomputing and Bioinformatics Service of the University of Malaga and the Spanish Supercomputing Network for facilitating access to the Picasso and Loginexa Supercomputers.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026