Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Stream parallelism"'
Autor:
Andrade, Gabriella a, ⁎, 1, Griebler, Dalvan a, b, ⁎⁎, 1, Santos, Rodrigo c, Fernandes, Luiz Gustavo a
Publikováno v:
In Computer Standards & Interfaces March 2023 84
Publikováno v:
In Journal of Computer Languages December 2022 73
Akademický článek
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Akademický článek
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Autor:
Araujo, Gabriell Alves de
Publikováno v:
Biblioteca Digital de Teses e Dissertações da PUC_RS
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron:PUC_RS
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron:PUC_RS
Nowadays, most computers are equipped with Graphics Processing Units (GPUs) to provide massive-scale parallelism at a low cost. Parallel programming is necessary to exploit this architectural capacity fully. However, it represents a challenge for pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::d5c905fd2ea095ea961c0d9c39b5bc50
https://tede2.pucrs.br/tede2/handle/tede/10347
https://tede2.pucrs.br/tede2/handle/tede/10347
Autor:
Rockenbach, Dinei Andr?
Publikováno v:
Biblioteca Digital de Teses e Dissertações da PUC_RS
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron:PUC_RS
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron:PUC_RS
The growth and spread of parallel architectures have driven the pursuit of greater computing power with massively parallel hardware such as the Graphics Processing Units (GPUs). This new heterogeneous computer architecture composed of multi-core Cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::d5424b60a85c8db2b4d345a0c70ed19c
http://tede2.pucrs.br/tede2/handle/tede/9592
http://tede2.pucrs.br/tede2/handle/tede/9592
Autor:
Pieper, Ricardo Luis
Publikováno v:
Biblioteca Digital de Teses e Dissertações da PUC_RS
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron:PUC_RS
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
instacron:PUC_RS
Stream processing applications represent a significant part of today?s software. An increased amount of streaming data is generated every day from various sources (computing devices and applications), which requires to be processed on time. Shared-me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::c965071e7f57b4123007f6044cdc3869
http://tede2.pucrs.br/tede2/handle/tede/9916
http://tede2.pucrs.br/tede2/handle/tede/9916
Autor:
Charles Michael Stein, Gabriele Mencagli, Dinei Rockenbach, Marco Danelutto, Luiz Gustavo Fernandes, Dalvan Griebler, Massimo Torquati
Publikováno v:
Concurrency and Computation: Practice and Experience. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdbcadf2db8d564569aa81b1bf606897
https://doi.org/10.1002/cpe.5786
https://doi.org/10.1002/cpe.5786
Autor:
Dalvan Griebler, Luiz Gustavo Fernandes, Gabriele Mencagli, Gabriel Justo, Endrius Ewald, Cassiano Rista, Adriano Vogel
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030410490
WSCAD (Selected Papers)
WSCAD (Selected Papers)
The amount of data generated is increasing exponentially. However, processing data and producing fast results is a technological challenge. Parallel stream processing can be implemented for handling high frequency and big data flows. The MPI parallel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f3e9a9ab6d21b966b03a185c3293eb
http://hdl.handle.net/11568/1054224
http://hdl.handle.net/11568/1054224
Publikováno v:
Euro-Par 2019: Parallel Processing Workshops ISBN: 9783030483395
Euro-Par Workshops
Euro-Par Workshops
Stream processing paradigm is present in several applications that apply computations over continuous data flowing in the form of streams (e.g., video feeds, image, and data analytics). Employing self-adaptivity to stream processing applications can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b12d326d9ec318a0c4771d94f7166272
http://hdl.handle.net/11568/1080458
http://hdl.handle.net/11568/1080458