Výsledky vyhledávání - "David Glesser"

Big Data and HPC collocation: Using HPC idle resources for Big Data Analytics

Autor: Michael Mercier, David Glesser, Olivier Richard, Yiannis Georgiou

Publikováno v: IEEE BigData 2017
IEEE BigData 2017, Dec 2017, Boston, United States
IEEE BigData

International audience; Executing Big Data workloads upon High Performance Computing (HPC) infrastractures has become an attractive way to improve their performances. However, the collocation of HPC and Big Data workloads is not an easy task, mainly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f5bb53b60d2284568d3b5e4558eaad
https://hal.archives-ouvertes.fr/hal-01633507

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A Novel Approach for Job Scheduling Optimizations Under Power Cap for ARM and Intel HPC Systems

Autor: Michael Ott, David Glesser, Daniele Tafani, Yiannis Georgiou, Dineshkumar Rajagopal

Publikováno v: HiPC

The ever-increasing energy demands of modern High Performance Computing (HPC) platforms is undeniably one of the most critical aspects for the future design and evolution of such systems. The capability of managing their energy consumption not only a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fdfd48e6df0771a0d61b8798e674f30e
https://doi.org/10.1109/hipc.2017.00025

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Improving Backfilling by using Machine Learning to predict Running Times

Autor: Denis Trystram, Eric Gaussier, Valentin Reis, David Glesser

Publikováno v: SuperComputing 2015
SuperComputing 2015, Nov 2015, Austin, TX, United States. ⟨10.1145/2807591.2807646⟩
SC

International audience; The job management system is the HPC middleware responsible for distributing computing power to applications. While such systems generate an ever increasing amount of data, they are characterized by uncertainties on some param

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d6b8a4192b778e732a7df06c9cac562
https://hal.archives-ouvertes.fr/hal-01221186/file/paper.pdf

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A Scheduler-Level Incentive Mechanism for Energy Efficiency in HPC

Autor: Yiannis Georgiou, Denis Trystram, David Glesser, Krzysztof Rzadca

Publikováno v: CCGrid 2015-15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
CCGrid 2015-15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2015, Shenzhen, China. pp.617--626, ⟨10.1109/CCGrid.2015.101⟩
CCGRID

International audience; Energy consumption has become one of the most important factors in High Performance Computing platforms. However, while there are various algorithmic and programming techniques to save energy, a user has currently no incentive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b70cbb9e03b59c5b070a87a530ef3f5
https://hal.archives-ouvertes.fr/hal-01230295/document

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Energy Accounting and Control with SLURM Resource and Job Management System

Autor: Morris Jette, Thomas Cadeau, Matthieu Hautreux, Yiannis Georgiou, Danny Auble, David Glesser

Publikováno v: ICDCN 2014
ICDCN 2014, Jan 2014, Coimbatore, India. ⟨10.1007/978-3-642-45249-9_7⟩
Distributed Computing and Networking ISBN: 9783642452482
ICDCN

International audience; Energy consumption has gradually become a very important parameter in High Performance Computing platforms. The Resource and Job Management System (RJMS) is the HPC middleware that is responsible for distributing computing pow

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::605441a5df1c5650406dbbaaa9482e3c
https://inria.hal.science/hal-01237596/file/Energy_Accounting-RJMS2013.pdf

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Overcoming Limitations of the Trackpad for 3D Docking Operations

Autor: François Bérard, David Glesser, Jeremy R. Cooperstock

Publikováno v: CHI '13 Extended Abstracts on Human Factors in Computing Systems
CHI '13 Extended Abstracts on Human Factors in Computing Systems, 2013, Paris, France. pp.1239-1244, ⟨10.1145/2468356.2468578⟩
CHI Extended Abstracts

International audience; From notebook trackpads to mobile phones to tabletop surface computing, multitouch input surfaces have become one of the most dominant interfaces for human-computer interaction. Although these are clearly e ective for interact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9813cd28100f183fd075a5384a4f866
https://hal.inria.fr/hal-00921361/document

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