Výsledky vyhledávání - "Mateos Diaz, Cristian Maximiliano"

Reducing energy usage in resource-intensive Java-based scientific applications via micro-benchmark based code refactorings

Autor: Longo, Mathias, Rodriguez, Ana Virginia, Mateos Diaz, Cristian Maximiliano, Zunino Suarez, Alejandro Octavio

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

In-silico research has grown considerably. Today's scientific code involves long-running computer simulations and hence powerful computing infrastructures are needed. Traditionally, research in high-performance computing has focused on executing code

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ed6f289ca5316d837f13ba77fda2738
http://www.comsis.org/archive.php?show=ppr675-1806

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Review and analysis of computational techniques and methods for body condition score estimation on cows

Autor: Rodríguez Alvarez, Juan Maximiliano, Arroqui, Mauricio, Mangudo, Pablo, Toloza, Juan Manuel, Jatip, Daniel Esteban, Rodriguez, Juan Manuel, Zunino Suarez, Alejandro Octavio, Mateos Diaz, Cristian Maximiliano, Machado, Claudio

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

BCS (del inglés "Body Condition Score") es un método utilizado para estimar las reservas de grasa corporal y el balance energético acumulado de las vacas. El BCS influye significativamente en la producción de leche, reproducción y salud de las v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::393023ad6d96bcddda0dac92d06f00e4
https://www.sadio.org.ar/index.php/EJS/article/view/6

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Improving scientific application execution on android mobile devices via code refactorings

Autor: Rodríguez, Ana Victoria, Mateos Diaz, Cristian Maximiliano, Zunino Suarez, Alejandro Octavio

The increasing number of mobile devices with ever-growing capabilities makes them useful for running scientific applications. However, these applications have high computational demands, whereas mobile devices have limited capabilities when compared

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3498::5bec3bf6146e6d049334ef6de71b5b03
Wiley Online Library

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Autoscaling scientific workflows on the cloud by combining on-demand and spot instances

Autor: Monge Bosdari, David Antonio, Garí Núñez, Yisel, Mateos Diaz, Cristian Maximiliano, Garcia Garino, Carlos Gabriel

Autoscaling strategies achieve efficient and cheap executions of scientific workflows running in the cloud by determining appropriate type and amount of virtual machine instances to use while scheduling the tasks/data . Current strategies only consid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3498::9008f32504d2f24a941f5a14404c89cc
http://crl-publishing.co.uk/csse-journal/

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An energy-saving model for service-oriented mobile application development

Autor: Mateos Diaz, Cristian Maximiliano, Lizarralde, Ignacio, Zunino Suarez, Alejandro Octavio

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

The development of mobile applications that combine Web Services from different providers --also referred as mashup applications-- is growing as a consequence of the ubiquity of bandwidth connections and the increasing number of available Web Service

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::54f7b8e50c4e2c515d6aeac11da9f489
http://www.sadio.org.ar/wp-content/uploads/2016/04/EJS_14_Paper_1.pdf

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A programming interface and framework for developing recommendation algorithms on large-scale social networks

Autor: Corbellini, Alejandro, Godoy, Daniela Lis, Mateos Diaz, Cristian Maximiliano, Zunino Suarez, Alejandro Octavio, Schiaffino, Silvia Noemi

Friend recommendation algorithms in large-scale social networks such as Facebook or Twitter usually require the exploration of huge user graphs. In current solutions for parallelizing graph algorithms, the burden of dealing with distributed concerns

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3498::5c7649afd2ffbc71796647bf299e67a9
http://link.springer.com/chapter/10.1007/978-3-319-10166-8_6

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A Software Support to Initiate Systems Engineering Students in Service-Oriented Computing

Autor: Mateos Diaz, Cristian Maximiliano, Crasso, Marco Patricio, Zunino Suarez, Alejandro Octavio, Campo, Marcelo Ricardo

An evolutionary process that is currently taking place in the software industry is the shift from developing applications from scratch to discovering and assembling services published across the Internet. Service-Oriented Computing (SOC) is a new par

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3498::816a83d3a91a918f1ebc6bf013072035
Wiley Online Library

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Dynamic scheduling based on particle swarm optimization for cloud-based scientific experiments

Autor: Pacini Naumovich, Elina Rocío, Mateos Diaz, Cristian Maximiliano, Garcia Garino, Carlos Gabriel

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

Los Experimentos de Barrido de Parámetros (PSEs) permiten a los científicos llevar a cabo simulaciones mediante la ejecución de un mismo código con diferentes entradas de datos, lo cual genera una gran cantidad de trabajos intensivos en CPU que p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::52559de92c35215d3b9f0b779bdcb7ec
http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002014000100003

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A semi-automatic parallelization tool for Java based on fork-join synchronization patterns

Autor: Hirsch, Matias, Zunino Suarez, Alejandro Octavio, Mateos Diaz, Cristian Maximiliano

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

Because of the increasing availability of multi-core machines, clusters, Grids, and combinations of these environments, there is now plenty of computational power available for executing compute intensive applications. However, because of the overwhe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::207a9995d6531e6bd7b91563bda592de
http://www.sadio.org.ar/wp-content/uploads/2013/11/Revista_12.htm

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