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Cloud Computing for Climate Modelling: Evaluation, Challenges and Benefits
(MDPI, 2020)
Cloud computing is a mature technology that has already shown benefits for a wide range of academic research domains that, in turn, utilize a wide range of application design models. In this paper, we discuss the use of ...
Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2014)
Este artículo describe una suite de módulos lingüísticos para el castellano, basado en una arquitectura en tuberías, que incluye tareas de análisis morfosintáctico así como de reconocimiento y clasificación de entidades ...
Assessment, Design and Implementation of a Private Cloud for MapReduce Applications
(OALib, 2014)
Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and Big Data ...
Enabling BOINC in infrastructure as a service cloud system
(Copernicus Publications, 2017)
Volunteer or crowd computing is becoming increasingly popular for solving complex research problems from an increasingly diverse range of areas. The majority of these have been built using the Berkeley Open Infrastructure ...
Using an extended Roofline Model to understand data and thread affinities on NUMA systems
(Universidad de Granada, 2014)
Today’s microprocessors include multicores that feature a diverse set of compute cores and onboard memory subsystems connected by complex communication networks and protocols. The analysis of factors that affect performance ...
Cloud flexibility using DIRAC interware
(IOP Science, 2014)
Communities of different locations are running their computing jobs on dedicated infrastructures without the need to worry about software, hardware or even the site where their programs are going to be executed. Nevertheless, ...
Fast Ground Filtering of Airborne LiDAR Data Based on Iterative Scan-Line Spline Interpolation
(MDPI, 2019)
Over the last two decades, a wide range of applications have been developed from Light Detection and Ranging (LiDAR) point clouds. Most LiDAR-derived products require the distinction between ground and non-ground points. ...
A big data approach to metagenomics for all-food-sequencing
(BMC, 2020)
Background
All-Food-Sequencing (AFS) is an untargeted metagenomic sequencing method that allows for the detection and quantification of food ingredients including animals, plants, and microbiota. While this approach avoids ...
A Developer-Friendly “Open Lidar Visualizer and Analyser” for Point Clouds With 3D Stereoscopic View
(IEEE, 2018)
Light detection and ranging is being a hot topic in the remote sensing field, and the development of robust point cloud processing methods is essential for the adoption of this technology. In order to understand, evaluate, ...
Automatic Extraction of Road Points from Airborne LiDAR Based on Bidirectional Skewness Balancing
(MDPI, 2020)
Road extraction from Light Detection and Ranging (LiDAR) has become a hot topic over recent years. Nevertheless, it is still challenging to perform this task in a fully automatic way. Experiments are often carried out over ...