Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Marco, Danelutto"'
Publikováno v:
IEEE Access, Vol 7, Pp 48753-48769 (2019)
Today's stream processing systems handle high-volume data streams in an efficient manner. To achieve this goal, they are designed to scale out on large clusters of commodity machines. However, despite the efficient use of distributed architectures, t
Externí odkaz:
https://doaj.org/article/d50224f12c4e4f5da412c9efda651f91
Autor:
Gabriele Mencagli, Massimo Torquati, Dalvan Griebler, Marco Danelutto, Luiz Gustavo L. Fernandes
Publikováno v:
IEEE Access, Vol 7, Pp 131944-131961 (2019)
In the stream processing domain, applications are represented by graphs of operators arbitrarily connected and filled with their business logic code. The APIs of existing Stream Processing Systems (SPSs) ease the development of transformations that r
Externí odkaz:
https://doaj.org/article/76b83894e7604ee2afaadba739aee7cd
Publikováno v:
International Journal of Parallel Programming. 51:1-21
We present the new distributed-memory run-time system (RTS) of the C++-based open-source structured parallel programming library FastFlow. The new RTS enables the execution of FastFlow shared-memory applications written using its Building Blocks () o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03d3714fbdd72fc778da5bf2c0283f78
https://doi.org/10.1007/s10766-022-00750-5
https://doi.org/10.1007/s10766-022-00750-5
Publikováno v:
SoftwareX, Vol 6, Iss , Pp 150-154 (2017)
Managing low-level architectural features for controlling performance and power consumption is a growing demand in the parallel computing community. Such features include, but are not limited to: energy profiling, platform topology analysis, CPU core
Externí odkaz:
https://doaj.org/article/dcaf09577c15449c99ec633729c1e3b2
Autor:
Aldinucci, Marco, Birke, Robert Renè Maria, Antonio, Brogi, Emanuele, Carlini, Massimo, Coppola, Marco, Danelutto, Patrizio, Dazzi, Luca, Ferrucci, Stefano, Forti, Hanna, Kavalionak, Gabriele, Mencagli, Matteo, Mordacchini, Marcelo, Pasin, Federica, Paganelli, Massimo, Torquati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______970::891d71734600a6937fbb018e7a03045e
https://hdl.handle.net/2318/1903692
https://hdl.handle.net/2318/1903692
Autor:
Gabriele Mencagli, Luca Rinaldi, Massimo Torquati, Alessandra Fais, Marco Danelutto, Andrea Cardaci
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems
Nowadays, we are witnessing the diffusion of Stream Processing Systems (SPSs) able to analyze data streams in near realtime. Traditional SPSs like Storm and Flink target distributed clusters and adopt the continuous streaming model , where inputs are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c087fcad62c33465f2fbda524c30f6b4
https://doi.org/10.1109/tpds.2021.3073970
https://doi.org/10.1109/tpds.2021.3073970
Autor:
Giovanni Agosta, Marco Aldinucci, Carlos Alvarez, Roberto Ammendola, Yasir Arfat, Olivier Beaumont, Massimo Bernaschi, Andrea Biagioni, Tommaso Boccali, Berenger Bramas, Carlo Brandolese, Barbara Cantalupo, Mauro Carrozzo, Daniele Cattaneo, Alessandro Celestini, Massimo Celino, Iacopo Colonnelli, Paolo Cretaro, Pasqua D’Ambra, Marco Danelutto, Roberto Esposito, Lionel Eyraud-Dubois, Antonio Filgueras, William Fornaciari, Ottorino Frezza, Andrea Galimberti, Francesco Giacomini, Brice Goglin, Daniele Gregori, Abdou Guermouche, Francesco Iannone, Michal Kulczewski, Francesca Lo Cicero, Alessandro Lonardo, Alberto R. Martinelli, Michele Martinelli, Xavier Martorell, Giuseppe Massari, Simone Montangero, Gianluca Mittone, Raymond Namyst, Ariel Oleksiak, Paolo Palazzari, Pier Stanislao Paolucci, Federico Reghenzani, Cristian Rossi, Sergio Saponara, Francesco Simula, Federico Terraneo, Samuel Thibault, Massimo Torquati, Matteo Turisini, Piero Vicini, Miquel Vidal, Davide Zoni, Giuseppe Zummo
Publikováno v:
Microprocessors and Microsystems: Embedded Hardware Design
Microprocessors and Microsystems: Embedded Hardware Design, 2022, 95, pp.104679. ⟨10.1016/j.micpro.2022.104679⟩
Microprocessors and Microsystems
Microprocessors and Microsystems: Embedded Hardware Design, 2022, 95, pp.104679. ⟨10.1016/j.micpro.2022.104679⟩
Microprocessors and Microsystems
In the near future, Exascale systems will need to bridge three technology gaps to achieve high performance while remaining under tight power constraints: energy efficiency and thermal control; extreme computation efficiency via HW acceleration and ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::517ade11173e64d16021bab56ebc0d51
https://inria.hal.science/hal-03936864/document
https://inria.hal.science/hal-03936864/document
Publikováno v:
Computing. 105:1039-1057
Several real-world parallel applications are becoming more dynamic and long-running, demanding online (at run-time) adaptations. Stream processing is a representative scenario that computes data items arriving in real-time and where parallel executio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8989d3642e3bce61724ed76f8e143de
https://doi.org/10.1007/s00607-021-00998-8
https://doi.org/10.1007/s00607-021-00998-8
Autor:
Gabriele Mencagli, Peter Kilpatrick, Massimo Torquati, Marco Danelutto, Horacio González–Vélez
Publikováno v:
Danelutto, M, Mencagli, G, Torquati, M, González–Vélez, H & Kilpatrick, P 2020, ' Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming ', International Journal of Parallel Programming . https://doi.org/10.1007/s10766-020-00684-w
This paper discusses the impact of structured parallel programming methodologies in state-of-the-art industrial and research parallel programming frameworks. We first recap the main ideas underpinning structured parallel programming models and then p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33832afd70b86724d72336f75b4ea0f1
https://doi.org/10.1007/s10766-020-00684-w
https://doi.org/10.1007/s10766-020-00684-w
Publikováno v:
2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60521759c11d4ad9bf458f2c60a4f69
https://doi.org/10.1109/pdp55904.2022.00014
https://doi.org/10.1109/pdp55904.2022.00014