Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Yves Denneulin"'
Autor:
Oscar Carrillo, Carlos Jaime Barrios Hernandez, Frederic Le Mouel, Harold E. Castro Barrera, Yves Denneulin, Jose Tiberio Hernandez, Fernando Jimenez Vargas, Lola Xiomara Bautista Rozo, Claudia Roncancio, Michel Riveill
Publikováno v:
IEEE Xplore
CLUSTER 2022-2022 IEEE International Conference on Cluster Computing
CLUSTER 2022-2022 IEEE International Conference on Cluster Computing, Sep 2022, Heidelberg, Germany. pp.512-515, ⟨10.1109/CLUSTER51413.2022.00065⟩
CLUSTER 2022-2022 IEEE International Conference on Cluster Computing
CLUSTER 2022-2022 IEEE International Conference on Cluster Computing, Sep 2022, Heidelberg, Germany. pp.512-515, ⟨10.1109/CLUSTER51413.2022.00065⟩
International audience; Advanced computing resources are requested by different interest groups, with the acceleration of digital transformation generated both by the pandemic and by the explosive increase in available information. Data centers have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46f51049bbc073543d710dec4dcaa36e
https://hal.science/hal-03844189
https://hal.science/hal-03844189
Publikováno v:
Supercomputing Frontiers and Innovations. 8
Deep neural networks (DNNs) have grown in popularity in recent years thanks to the increase in computing power and the size and relevance of data sets. This has made it possible to build more complex models and include more areas of research and appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::521c8827d2c41beacebecfded5d1c997
https://doi.org/10.14529/jsfi210104
https://doi.org/10.14529/jsfi210104
Autor:
Philippe O. A. Navaux, Eduardo C. Inacio, Mario A. R. Dantas, Jean Luca Bez, Yves Denneulin, Francieli Zanon Boito
Publikováno v:
ACM Computing Surveys
ACM Computing Surveys, Association for Computing Machinery, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
ACM Computing Surveys, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
ACM Computing Surveys, Association for Computing Machinery, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
ACM Computing Surveys, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
We present a comprehensive survey on parallel I/O in the high-performance computing (HPC) context. This is an important field for HPC because of the historic gap between processing power and storage latency, which causes application performance to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac3894ec0d8d16d07306ef95340cdf4c
https://doi.org/10.1145/3152891
https://doi.org/10.1145/3152891
Autor:
Dario Correal, Pedro Fabián Pérez-Arteaga, Camilo Castellanos, Luis A. Guzman, Harold Castro, Yves Denneulin
Publikováno v:
Special Session on Software Engineering for Service and Cloud Computing
Special Session on Software Engineering for Service and Cloud Computing, Jul 2018, Porto, Portugal. pp.855-862, ⟨10.5220/0006869308550862⟩
ICSOFT
Special Session on Software Engineering for Service and Cloud Computing, Jul 2018, Porto, Portugal. pp.855-862, ⟨10.5220/0006869308550862⟩
ICSOFT
International audience; Lambda architecture has gained high relevance for big data analytics by offering mixed and coordinated data processing: real time processing for fast data streams and batch processing for large workloads with high latency. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313a284031bbf6e51843b704e9fc8822
https://hal.science/hal-02064712
https://hal.science/hal-02064712
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:2457-2472
Summary This article presents our approach to provide input/output (I/O) scheduling with double adaptivity: to applications and devices. In high-performance computing environments, parallel file systems provide a shared storage infrastructure to appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884ca6de64bb6e1779d2c1ac65140a86
https://doi.org/10.1002/cpe.3606
https://doi.org/10.1002/cpe.3606
Autor:
Paulin Yonta1, Yves Denneulin2
Publikováno v:
Acta Applicandae Mathematicae. Jul2008, Vol. 102 Issue 2/3, p219-236. 18p. 8 Diagrams, 1 Chart.
Autor:
Philippe O. A. Navaux, Vinícius Machado, Rodrigo Kassick, Yves Denneulin, Jean Luca Bez, Francieli Zanon Boito
Publikováno v:
Anais do XIV Workshop em Desempenho de Sistemas Computacionais e de Comunicação (WPerformance 2015).
This work presents the parallel storage device profiling tool SeRRa. Our tool obtains the sequential to random throughput ratio for reads and writes of different sizes on storage devices. In order to provide this information efficiently, SeRRa employ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86bfaac2480b661a8eaaaf06a367ebc2
https://doi.org/10.5753/wperformance.2015.10401
https://doi.org/10.5753/wperformance.2015.10401
Publikováno v:
30th Annual ACM Symposium on Applied Computing
30th Annual ACM Symposium on Applied Computing, Apr 2015, Salamanca, Spain. pp.2015--2020, ⟨10.1145/2695664.2695701⟩
SAC
30th Annual ACM Symposium on Applied Computing, Apr 2015, Salamanca, Spain. pp.2015--2020, ⟨10.1145/2695664.2695701⟩
SAC
International audience; This work presents a tool for storage device profiling named SeRRa. Our tool obtains the sequential to random throughput ratio for reads and writes of different sizes. Several optimizations aim at adapting applications’ acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c3b321b2d3d5c720eed27a9df3f1d02
https://inria.hal.science/hal-01247938/file/sac2015.pdf
https://inria.hal.science/hal-01247938/file/sac2015.pdf
Publikováno v:
2013 International Conference on Parallel and Distributed Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af326e385d821e4e981397bd99245b81
https://doi.org/10.1109/icpads.2013.19
https://doi.org/10.1109/icpads.2013.19
Autor:
Pablo Grunmann, Carla Osthoff, Matthias Diener, Philippe O. A. Navaux, Nicolas Maillard, Yves Denneulin, Pedro Leite da Silva Dias, Jairo Panetta, Francieli Zanon Boito, Rodrigo Kassick, Claudio Schepke
Publikováno v:
2011 Second Workshop on Architecture and Multi-Core Applications (wamca 2011).
This paper presents the use of trace-based performance visualization of a large scale atmospheric model, the Ocean-Land-Atmosphere Model (OLAM). The trace was obtained with the libRastro library, and the visualization was done with Paj´e. The use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b11aa9c3759ac1f103fc9d86222f94b1
https://doi.org/10.1109/wamca.2011.12
https://doi.org/10.1109/wamca.2011.12