Zobrazeno 1 - 10 of 77 pro vyhledávání: '"L. Carracciuolo"'
1
Report tecnico scientifico professionale valorizzazione della ricerca 'Donne e Scienza'
Autor: L. Affatato, L. Carracciuolo, A. Longo
Publikováno v: Numero protocollo IPCB 0000678/2022 del 15/03/2022, 2022
In occasione della IV "Giornata internazionale delle donne e ragazze nella scienza" promossa dall'UNESCO, la rete CREO (Campania Rete Outreach dei 24 Istituti CNR in Campania) ha partecipato all'evento celebrativo con una serie di incontri, fruibili
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::00195430f36f135d25da547b39b4285d
https://publications.cnr.it/doc/465163
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2
About the granularity portability of block‐based Krylov methods in heterogeneous computing environments
Autor: L. Carracciuolo, Valeria Mele, Lukasz Szustak
Publikováno v: Concurrency and Computation: Practice and Experience (2020). doi:10.1002/cpe.6008
info:cnr-pdr/source/autori:Luisa Carracciuolo, Valeria Mele, Lukasz Szustak/titolo:About the Granularity Portability of block-based Krylov methods in heterogeneous computing environments/doi:10.1002%2Fcpe.6008/rivista:Concurrency and Computation: Practice and Experience/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume
Large-scale problems in engineering and science often require the solution of sparse linear algebra problems and the Krylov subspace iteration methods (KM) have led to a major change in how users deal with them. But, for these solvers to use extreme-
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7af95c0c996995621f5af4220d03907
https://doi.org/10.1002/cpe.6008
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3
Performance evaluation for a PETSc parallel-in-time solver based on the MGRIT algorithm
Autor: L. Carracciuolo, Valeria Mele, Diego Romano, Emil M. Constantinescu, Luisa D'Amore
Publikováno v: Euro-Par 2018: Parallel Processing Workshops. Euro-Par 2018, pp. 716–728, 2019
info:cnr-pdr/source/autori:Mele, Valeria; Romano, Diego; Constantinescu, Emil M.; Carracciuolo, Luisa; D'Amore, Luisa/titolo:Performance evaluation for a PETSc parallel-in-time solver based on the MGRIT algorithm/titolo_volume:Euro-Par 2018: Parallel Processing Workshops. Euro-Par 2018/curatori_volume:/editore:/anno:2019
Lecture Notes in Computer Science ISBN: 9783030105488
Euro-Par Workshops
We herein describe the performance evaluation of a modular implementation of the MGRIT (MultiGrid-In-Time) algorithm within the context of the PETSc (the Portable, Extensible Toolkit for Scientific computing) library. Our aim is to give the PETSc use
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80b503cd61061e5fa6a7279c70126b4a
http://www.scopus.com/record/display.url?eid=2-s2.0-85061710769&origin=inward
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4
Le Scienze Computazionali per la Società con il contributo attivo della Società: l'esperienza di SCoPE@Scuola
Autor: G.B. Barone, V. Boccia, D. Bottalico, L. Carracciuolo
Publikováno v: Between Science & Society (BSS) 2019, Napoli, 10-11/10/2019
info:cnr-pdr/source/autori:G.B. Barone, V. Boccia, D. Bottalico, L. Carracciuolo/congresso_nome:Between Science & Society (BSS) 2019/congresso_luogo:Napoli/congresso_data:10-11%2F10%2F2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine
La divulgazione scientifica può essere considerata il "primo passo" per raggiungere l'ambizioso obiettivo di diffondere e consolidare l'idea di Scienza meno distante e utile alla Società ("Science with and for Society"). Infatti, le "persone comuni
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::b183e86385c4767a2bb9f0235ca45c65
https://publications.cnr.it/doc/407746
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5
A PETSc parallel‐in‐time solver based on MGRIT algorithm
Autor: Emil M. Constantinescu, Valeria Mele, Luisa D'Amore, L. Carracciuolo
Publikováno v: Concurrency and Computation: Practice and Experience (2018). doi:10.1002/cpe.4928
info:cnr-pdr/source/autori:Valeria Mele, Emil M. Constantinescu,Luisa Carracciuolo,Luisa D'Amore/titolo:A PETSc parallel-in-time solver based on MGRIT algorithm/doi:10.1002%2Fcpe.4928/rivista:Concurrency and Computation: Practice and Experience/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
We address the development of a modular implementation of the MGRIT (MultiGrid-In-Time) algorithm to solve linear and nonlinear systems that arise from the discretization of evolutionary models with a parallel-in-time approach in the context of the P
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1780e34067288607ef54a70f64a20535
https://doi.org/10.1002/cpe.4928
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6
Implementation of a non-linear solver on heterogeneous architectures
Autor: Marco Lapegna, L. Carracciuolo
Publikováno v: Concurrency and Computation: Practice and Experience (2018). doi:10.1002/cpe.4903
info:cnr-pdr/source/autori:Luisa Carracciuolo, Marco Lapegna/titolo:Implementation of a non-linear solver on heterogeneous architectures/doi:10.1002%2Fcpe.4903/rivista:Concurrency and Computation: Practice and Experience/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
Heterogeneous architectures seem to be not only the present but also the future of the HPC world (eg, see the Exascale Project of U.S. Department of Energy or the European Horizon 2020 FET Proactive - High Performance Computing Call). A lot of work h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f319bd2ef5a9c5519ed9c5b7a81dc3f9
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7
Computational simulations of 3D large-scale time-dependent viscoelastic flows in high performance computing environment
Autor: Luisa D'Amore, Almerico Murli, Gaetano D'Avino, Daniela Casaburi, Pier Luca Maffettone, L. Carracciuolo
Publikováno v: Journal of Non-Newtonian Fluid Mechanics. 166:1382-1395
The development of a parallel software for simulating large-scale time-dependent 3D problems involving the flow of multimode viscoelastic fluids is presented. The computing environment relies on PETSc [27] (Portable, Extensible Toolkit for Scientific
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d21860f39ca9bd11adf226285988c51b
https://doi.org/10.1016/j.jnnfm.2011.08.014
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8
User Recruitment and Support: A Viral Marketing Approach Based on the Word-of-Mouth Influence
Autor: Vania Boccia, L. Carracciuolo, D. Bottalico, Giovanni Barone, R. Campagna
Publikováno v: High Performance Scientific Computing Using Distributed Infrastructures-Results and Scientific Applications Derived from the Italian PON ReCaS Project, edited by Giuliano Laccetti (University of Naples Federico II, Italy), Leonardo Merola (University of Naples Federico II, Italy), Roberto Bellotti (University of Bari Aldo Moro, Italy), Giuseppe Andronico (INFN-Catania, Italy), Guglielmo de Nardo (University of Naples Federico II, Italy), Giorgio Maggi (Polytechnic University of Bari, Italy), Guido Russo (University of Naples Federico II, Italy), Lucia Silvestris (INFN-Bari, Italy), Enrico Tassi (University of Calabria, Italy), Sabina Tangaro (INFN-Bari, Italy), pp. 117–126. Singapore: World Scientific Publishing Co, 2016
info:cnr-pdr/source/autori:G.B. Barone, V. Boccia, D. Bottalico, R. Campagna, L. Carracciuolo/titolo:User recruitment and support: a viral marketing approach based on the word-of-mouth influence/titolo_volume:High Performance Scientific Computing Using Distributed Infrastructures-Results and Scientific Applications Derived from the Italian PON ReCaS Project/curatori_volume:Giuliano Laccetti (University of Naples Federico II, Italy), Leonardo Merola (University of Naples Federico II, Italy), Roberto Bellotti (University of Bari Aldo Moro, Italy), Giuseppe Andronico (INFN-Catania, Italy), Guglielmo de Nardo (University of Naples Federico II, Italy), Giorgio Maggi (Polytechnic University of Bari, Italy), Guido Russo (University of Naples Federico II, Italy), Lucia Silvestris (INFN-Bari, Italy), Enrico Tassi (University of Calabria, Italy), Sabina Tangaro (INFN-Bari, Italy)/editore: /anno:2016
High Performance Scientific Computing Using Distributed Infrastructures
The deployment, management and total cost of ownership of large computing environments always involve huge investments. These systems, once in production, have to meet the needs of users belonging to large and heterogeneous communities whose demands
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c456cbe4f47514080153769116e4d02
http://hdl.handle.net/11588/728517
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9
DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System
Autor: Rossella Arcucci, L. Carracciuolo, Almerico Murli, Luisa D'Amore
Publikováno v: ICCS
OceanVar is a Data Assimilation (DA) software which is being used in Italy within the Mediterranean Forecasting System (MFS) to combine observational data (Sea level anomaly, sea-surface temperatures, etc.) with backgrounds produced by computational
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3b874910393965fd6d82872f90fb6e4
https://doi.org/10.1016/j.procs.2013.05.290
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10
GaaS 2.0: The New Release Based on OpenStack with Features Implemented with OCCI
Autor: G.B. Barone, V. Boccia, D. Bottalico, L. Carracciuolo, G. Laccetti, A. Solla, A. Tebano, B. Spisso
Publikováno v: High Performance Scientific Computing Using Distributed Infrastructures-Results and Scientific Applications Derived from the Italian PON ReCaS Project, edited by Giuliano Laccetti (University of Naples Federico II, Italy), Leonardo Merola (University of Naples Federico II, Italy), Roberto Bellotti (University of Bari Aldo Moro, Italy), Giuseppe Andronico (INFN-Catania, Italy), Guglielmo de Nardo (University of Naples Federico II, Italy), Giorgio Maggi (Polytechnic University of Bari, Italy), Guido Russo (University of Naples Federico II, Italy), Lucia Silvestris (INFN-Bari, Italy), Enrico Tassi (University of Calabria, Italy), Sabina Tangaro (INFN-Bari, Italy), pp. 447–462. Singapore: World Scientific Publishing Co, 2016
info:cnr-pdr/source/autori:G.B. Barone, V. Boccia, D. Bottalico, L. Carracciuolo, G. Laccetti, A. Solla, A. Tebano, B. Spisso/titolo:GaaS 2.0: the new release based on Openstack with features implemented with OCCI./titolo_volume:High Performance Scientific Computing Using Distributed Infrastructures-Results and Scientific Applications Derived from the Italian PON ReCaS Project/curatori_volume:Giuliano Laccetti (University of Naples Federico II, Italy), Leonardo Merola (University of Naples Federico II, Italy), Roberto Bellotti (University of Bari Aldo Moro, Italy), Giuseppe Andronico (INFN-Catania, Italy), Guglielmo de Nardo (University of Naples Federico II, Italy), Giorgio Maggi (Polytechnic University of Bari, Italy), Guido Russo (University of Naples Federico II, Italy), Lucia Silvestris (INFN-Bari, Italy), Enrico Tassi (University of Calabria, Italy), Sabina Tangaro (INFN-Bari, Italy)/editore: /anno:2016
Cloud computing has been widely adopted as an alternative paradigm with respect to Grid computing to provide resources because of the advantages it brings to both users and providers. GaaS (Grid as a Service) was born with the aim to enable the use o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fdf905d370736fefe3ac87241a2d1db
https://doi.org/10.1142/9789814759717_0037
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