dc.contributor.author | López Novoa, Unai | |
dc.contributor.author | Mendiburu Alberro, Alexander | |
dc.contributor.author | Miguel Alonso, José | |
dc.date.accessioned | 2024-02-08T11:37:33Z | |
dc.date.available | 2024-02-08T11:37:33Z | |
dc.date.issued | 2014-02-25 | |
dc.identifier.citation | IEEE Transactions on Parallel and Distributed Systems 26(1) : 272-281 (2015) | |
dc.identifier.issn | 1558-2183 | |
dc.identifier.issn | 1045-9219 | |
dc.identifier.uri | http://hdl.handle.net/10810/65677 | |
dc.description.abstract | The high performance computing landscape is shifting from collections of homogeneous nodes towards heterogeneous systems, in which nodes consist of a combination of traditional out-of-order execution cores and accelerator devices. Accelerators, built around GPUs, many-core chips, FPGAs or DSPs, are used to offload compute-intensive tasks. The advent of this type of systems has brought about a wide and diverse ecosystem of development platforms, optimization tools and performance analysis frameworks. This is a review of the state-of-the-art in performance tools for heterogeneous computing, focusing on the most popular families of accelerators: GPUs and Intel's Xeon Phi. We describe current heterogeneous systems and the development frameworks and tools that can be used for developing for them. The core of this survey is a review of the performance models and tools, including simulators, proposed in the literature for these platforms. | es_ES |
dc.description.sponsorship | This work has been supported by the Saiotek and Research
Groups (IT-609-13) programs (Basque Government),
TIN2010-14931 (Ministry of Science and Technology) and
COMBIOMED Network in Computational Biomedicine (Carlos III Health Institute). U. Lopez is supported by a doc-
toral grant from the Basque Government. J. Miguel and
A. Mendiburu are members of the HiPEAC European Net-
work of Excellence | |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | |
dc.relation | info:eu-repo/grantAgreement/MICIN/TIN2010-1493 | |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | accelerator-based computing | es_ES |
dc.subject | heterogeneous systems | es_ES |
dc.subject | GPGPU | es_ES |
dc.subject | performance modeling | es_ES |
dc.title | A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2014 IEEE | |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/6748067 | |
dc.identifier.doi | 10.1109/TPDS.2014.2308216 | |
dc.departamentoes | Arquitectura y Tecnología de Computadores | es_ES |
dc.departamentoeu | Konputagailuen Arkitektura eta Teknologia | es_ES |