Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Rodrigo Kassick"'
Autor:
Edson Luiz Padoin, Philippe O. A. Navaux, Rodrigo Kassick, Jean Luca Bez, Jean-François Méhaut, Natália Rampon, Francieli Zanon Boito, Vinícius Machado, Amanda Braga, Julien Diaz
Publikováno v:
32nd ACM Symposium on Applied Computing (SAC 2017)
32nd ACM Symposium on Applied Computing (SAC 2017), Sung Y. Shin, Apr 2017, Marrakesh, Morocco
SAC
32nd ACM Symposium on Applied Computing (SAC 2017), Sung Y. Shin, Apr 2017, Marrakesh, Morocco
SAC
International audience; As large-scale parallel platforms are deployed to comply with the increasing performance requirements of scientific applications, a new concern is getting the attention of the HPC community: the power consumption. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce00a1459706b29d9e25eea8f392d75
https://hal.science/hal-01519168/file/sac2017.pdf
https://hal.science/hal-01519168/file/sac2017.pdf
Autor:
Pedro Velho, Philippe O. A. Navaux, Francieli Zanon Boito, Edson Luiz Padoin, Laércio Lima Pilla, Rodrigo Kassick
Publikováno v:
Cluster Computing. 16:511-525
The High Performance Computing (HPC) community aimed for many years to increase performance regardless of energy consumption. Until the end of the decade, a next generation of HPC systems is expected to reach sustained performances of the order of ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbcc04d6b0fc5d430e41f8732182a1e4
https://doi.org/10.1007/s10586-012-0219-6
https://doi.org/10.1007/s10586-012-0219-6
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
Autor:
Pedro Leite da Silva Dias, Philippe O. A. Navaux, Carla Osthoff, Claudio Schepke, Nicolas Maillard, Fabrício Vilasbôas, Francieli Zanon Boito, Robert L. Walko, Rodrigo Kassick, R. P. Souto, Pedro Pais Lopes, Laércio Lima Pilla, Jairo Panetta, Pablo Grunmann
Publikováno v:
Atmospheric Model Applications
Numerical models have been used extensively in the last decades to understand and predict weather phenomena and the climate. In general, models are classified according to their operation domain: global (entire Earth) and regional (country, state, et
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::367081c48595d033f38f20e35638d425
https://doi.org/10.5772/32484
https://doi.org/10.5772/32484
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
Autor:
Robert L. Walko, Francieli Zanon Boito, Pedro Leite da Silva Dias, Philippe O. A. Navaux, Rodrigo Kassick, Carla Osthoff, Claudio Schepke, Laércio Lima Pilla, Nicolas Maillard, Jairo Panetta, Pablo Grunmann
Publikováno v:
ISPA
This work shows how a Hybrid MPI/OpenMP implementation can improve the performance of the Ocean-Land-Atmosphere Model (OLAM) on a multi-core cluster environment, which is a typical HPC many small files workload application. Previous experiments have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eee86662cd903706cb0d2044415e2ce
https://doi.org/10.1109/ispa.2011.56
https://doi.org/10.1109/ispa.2011.56
Publikováno v:
PDP
The large gap between the speed in which data can be processed and the performance of I/O devices makes the shared storage infrastructure of a cluster a great bottleneck. Parallel File Systems try to smooth such difference by distributing data onto s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37db16f0435130d097a1d4f9ffe7780d
https://doi.org/10.1109/pdp.2011.85
https://doi.org/10.1109/pdp.2011.85
Publikováno v:
SBAC-PAD
The large gap between processing and I/O speed makes the storage infrastructure of a cluster a great bottleneck for HPC applications. Parallel File Systems propose a solution to this issue by distributing data onto several servers, dividing the load
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dfda8df80a046411a3f6f8bec0cab11
https://doi.org/10.1109/sbac-pad.2010.32
https://doi.org/10.1109/sbac-pad.2010.32
Autor:
Philippe O. A. Navaux, Everton Hermann, Y. Denneulin, C. Machado, Rodrigo Kassick, Rafael Bohrer Ávila
Publikováno v:
CCGRID
Parallel I/O in cluster computing is one of the most important issues to be tackled as clusters grow larger and larger. Many solutions have been proposed for the problem and, while effective in terms of performance, they usually represent a considera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be7084740be094eae3a04327a732e346
https://doi.org/10.1109/ccgrid.2005.1558674
https://doi.org/10.1109/ccgrid.2005.1558674