Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Josep M. Perez"'
Publikováno v:
Parallel Computing
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
In this paper we present the Task-Aware MPI library (TAMPI) that integrates both blocking and non-blocking MPI primitives with task-based programming models. The TAMPI library leverages two new runtime APIs to improve both programmability and perform
Publikováno v:
IPDPS
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
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UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
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© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new c
Autor:
Alex Ramirez, Yoav Etsion, Josep M. Perez, Montse Farreras, Javier Bueno, Mateo Valero, Eduard Ayguadé, Alejandro Duran, Rosa M. Badia, Judit Planas, Ioanna Tsalouchidou, Pieter Bellens, Jesús Labarta, Vladimir Marjanovic, Roger Ferrer, Xavier Martorell, Xavier Teruel, Lluis Martinell
Publikováno v:
Programming multi-core and many-core computing systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8452872819b4043590d92e2710f2abb
https://doi.org/10.1002/9781119332015.ch5
https://doi.org/10.1002/9781119332015.ch5
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
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Scaling OpenMP for Exascale Performance and Portability ISBN: 9783319655772
IWOMP
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
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Scaling OpenMP for Exascale Performance and Portability ISBN: 9783319655772
IWOMP
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
In the last few decades, modern applications have become larger and more complex. Among the users of these applications, the need to simplify the process of identifying units of work increased as well. With the approach of tasking models, this want h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c36cb5efd942d1d62156a3faa62d184
https://hdl.handle.net/2117/107558
https://hdl.handle.net/2117/107558
Autor:
Judit Planas, Rosa M. Badia, Josep M. Perez, Xavier Martorell, Jesús Labarta, Daniel Jiménez-González, Rafael Mayo, Marc Gonzalez, Alejandro Duran, Eduard Ayguadé, Enrique S. Quintana-Ortí, Francisco D. Igual, Daniel Cabrera, Pieter Bellens, Luis Martinell, Roger Ferrer
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
This paper advances the state-of-the-art in programming models for exploiting task-level parallelism on heterogeneous many-core systems, presenting a number of extensions to the OpenMP language inspired in the StarSs programming model. The proposed e
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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instname
Cell Superscalar (CellSs) provides a simple, flexible and easy programming approach for the Cell Broadband Engine (Cell/B.E.) that automatically exploits the inherent concurrency of applications at a function or task level. The CellSs environment is
Autor:
Josep M. Perez, José R. Herrero, Rosa M. Badia, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Jesús Labarta
Publikováno v:
Concurrency and Computation: Practice and Experience. 21:2438-2456
Publikováno v:
Scientific Programming, Vol 17, Iss 1-2, Pp 77-95 (2009)
Cell Superscalar's (CellSs) main goal is to provide a simple, flexible and easy programming approach for the Cell Broadband Engine (Cell/B.E.) that automatically exploits the inherent concurrency of the applications at a task level. The CellSs enviro
Publikováno v:
Concurrency and Computation: Practice and Experience. 18:1169-1186
GRID superscalar is a Grid programming environment that enables one to parallelize the execution of sequential applications in computational Grids. The run-time library automatically builds a task data-dependence graph of the application and it can b
Publikováno v:
Journal of Grid Computing. 1:151-170
The aim of GRID superscalar is to reduce the development complexity of Grid applications to the minimum, in such a way that writing an application for a computational Grid may be as easy as writing a sequential application. Our assumption is that Gri