Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rodrigo Duro, Francisco"'
Autor:
Rodrigo Duro, Francisco, Garcia Blas, Javier, Isaila, Florin, Carretero, Jesus, Wozniak, Justin M., Ross, Rob
Publikováno v:
In Parallel Computing January 2017 61:52-67
Autor:
Rodrigo Duro, Francisco, Garcia Blas, Javier, Higuero, Daniel, Perez, Oscar, Carretero, Jesus
Publikováno v:
In Simulation Modelling Practice and Theory January 2015 50:3-19
Autor:
Rodrigo Duro, Francisco1 frodrigo@arcos.inf.uc3m.es, Marozzo, Fabrizio2 fmarozzo@dimes.unical.it, Garcia Blas, Javier1 fjblas@arcos.inf.uc3m.es, Talia, Domenico2 talia@dimes.unical.it, Trunfio, Paolo2 trunfio@dimes.unical.it
Publikováno v:
Journal of Supercomputing. Nov2016, Vol. 72 Issue 11, p4069-4088. 20p.
Autor:
Marozzo, Fabrizio, Carretero Pérez, Jesús, Rodrigo Duro, Francisco José, García Blas, Javier, Talia, Domenico, Trunfio, Paolo
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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Proceedings of: Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016). Sofia (Bulgaria), October, 6-7, 2016. As data-intensive scientific prevalence arises, there is a necessity of simplifying the development, deployme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::92de1a5f7ec79624817ef6a3425aeb0a
https://hdl.handle.net/10016/24234
https://hdl.handle.net/10016/24234
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016. The evolution in scientific computing towards data-intensive applications and the increase of heterogeneity i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dfd03cd37727e6eda9343cd6786c92a4
https://hdl.handle.net/10016/22870
https://hdl.handle.net/10016/22870
Autor:
Rodrigo Duro, Francisco José
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Mención Internacional en el título de doctor
The evolution in scientific computing towards data-intensive applications and the increase of heterogeneity in the computing resources are exposing new challenges in the I/O layer requirements. Ther
The evolution in scientific computing towards data-intensive applications and the increase of heterogeneity in the computing resources are exposing new challenges in the I/O layer requirements. Ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dc895cdb60a9d53d8e7000eed9b6b47c
http://hdl.handle.net/10016/24285
http://hdl.handle.net/10016/24285
Autor:
Rodrigo Duro, Francisco José, Marozzo, Fabrizio, García Blas, Javier, Carretero Pérez, Jesús, Talia, Domenico, Trunfio, Paolo
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
The Data Mining Cloud Framework (DMCF) is an environment for designing and executing data analysis workflows in cloud platforms. Currently, DMCF relies on the default storage of the public cloud provider for any I/O related operation. This implies th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0a3b38b55459592d99da2374fdec647d
http://hdl.handle.net/10016/22027
http://hdl.handle.net/10016/22027
Akademický článek
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Akademický článek
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Autor:
Rodrigo Duro, Francisco José, García Blas, Javier, Isaila, Florín Daniel, Carretero Pérez, Jesús, Wozniak, Justin M., Ross, Rob
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
The ever-increasing power of supercomputer systems is both driving and enabling the emergence of new problem-solving methods that require the efficient execution of many concurrent and interacting tasks. Swift/T, as a description language and runtime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6e1cbee0e0bddb8b4b863678424e8ad8
http://hdl.handle.net/10016/21865
http://hdl.handle.net/10016/21865