Výsledky vyhledávání - "Nacho Navarro"

Akademický článek

REMOTE, a Wireless Sensor Network Based System to Monitor Rowing Performance

Autor: Jordi Llosa, Ignasi Vilajosana, Xavier Vilajosana, Nacho Navarro, Emma Suriñach, Joan Manuel Marquès

Publikováno v: Sensors, Vol 9, Iss 9, Pp 7069-7082 (2009)

In this paper, we take a hard look at the performance of REMOTE, a sensor network based application that provides a detailed picture of a boat movement, individual rower performance, or his/her performance compared with other crew members. The applic

Externí odkaz: https://doaj.org/article/1ef59738a4fe4b61941e94b1b9e4371c

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AI for automated code updates

Autor: Salwa Alamir, Petr Babkin, Nacho Navarro, Sameena Shah

Publikováno v: Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0053f888370f0da8f705930f144aa4f8
https://doi.org/10.1145/3510457.3513073

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An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems

Autor: Matina Maria Trompouki, Leonidas Kosmidis, Nacho Navarro

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Modern and future automotive systems incorporate several Advanced Driving Assistance Systems (ADAS). Those systems require significant performance that cannot be provided with traditional automotive processors and programming models. Multicore CPUs a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96bad74b91ab76d6bd07d10272d40c76
https://doi.org/10.1109/iccad.2017.8203793

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Data stream classification using random feature functions and novel method combinations

Autor: Nacho Navarro, Diego Marrn, Jesse Read, Albert Bifet

Publikováno v: Journal of Systems and Software
Journal of Systems and Software, Elsevier, 2017, 127, pp.195-204. ⟨10.1016/j.jss.2016.06.009⟩
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Big Data streams are being generated in a faster, bigger, and more commonplace. In this scenario, Hoeffding Trees are an established method for classification. Several extensions exist, including high-performing ensemble setups such as online and lev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c4b86fbbd441087eb8b6ca69f6bd58d
https://hal.archives-ouvertes.fr/hal-01689025

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Efficient exception handling support for GPUs

Autor: Ivan Tanasic, Isaac Gelado, Marc Jordà, Nacho Navarro, Eduard Ayguadé

Publikováno v: MICRO
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Operating systems have long relied on the exception handling mechanism to implement numerous virtual memory features and optimizations. However, today's GPUs have a limited support for exceptions, which prevents implementation of such techniques. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8b810a206a483715809095e081d0ac4
https://hdl.handle.net/2117/115577

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Enabling preemptive multiprogramming on GPUs

Autor: Isaac Gelado, Ivan Tanasic, Javier Cabezas, Nacho Navarro, Mateo Valero, Alex Ramirez

Publikováno v: ISCA
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

GPUs are being increasingly adopted as compute accelerators in many domains, spanning environments from mobile systems to cloud computing. These systems are usually running multiple applications, from one or several users. However GPUs do not provide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff366ba77301eba5439bf792a82e5cc1
https://doi.org/10.1145/2678373.2665702

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Adaptive runtime-assisted block prefetching on chip-multiprocessors

Autor: Victor Garcia, Paul M. Carpenter, Nacho Navarro, Alex Ramirez, Alejandro Rico, Carlos Villavieja

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Memory stalls are a significant source of performance degradation in modern processors. Data prefetching is a widely adopted and well studied technique used to alleviate this problem. Prefetching can be performed by the hardware, or be initiated and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9af16542b7ccee4ca651291aadc65f9c
https://hdl.handle.net/2117/100924

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Optimization of atmospheric transport models on HPC platforms

Autor: Arnau Folch, Raúl de la Cruz, Pau Farré, Javier Cabezas, Nacho Navarro, José María Cela

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

The performance and scalability of atmospheric transport models on high performance computing environments is often far from optimal for multiple reasons including, for example, sequential input and output, synchronous communications, work unbalance,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af4e7a6d3ec6a52a9630c505612a4168

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Energy accounting for shared virtualized environments under DVFS using PMC-based power models

Autor: Jordi Torres, Marc Gonzílez, David Carrera, Nacho Navarro, Vicenç Beltran, Yolanda Becerra, Ramon Bertran, Xavier Martorell, Eduard Ayguadé

Publikováno v: Future Generation Computer Systems. 28:457-468

Virtualized infrastructure providers demand new methods to increase the accuracy of the accounting models used to charge their customers. Future data centers will be composed of many-core systems that will host a large number of virtual machines (VMs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a47d67b11e3c31c06577ba4fd8ea749
https://doi.org/10.1016/j.future.2011.03.007

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Assessing Accelerator-Based HPC Reverse Time Migration

Autor: Enric Morancho, Muhammad Shafiq, Mauricio Hanzich, Miquel Pericas, F. Rubio, Javier Cabezas, Isaac Gelado, José María Cela, Mauricio Araya-Polo, Nacho Navarro, Eduard Ayguadé, Mateo Valero

Publikováno v: IEEE Transactions on Parallel and Distributed Systems

Oil and gas companies trust Reverse Time Migration (RTM), the most advanced seismic imaging technique, with crucial decisions on drilling investments. The economic value of the oil reserves that require RTM to be localized is in the order of 1013 dol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d349d06542c8d45314c2690ce86259
https://doi.org/10.1109/tpds.2010.144

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