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Sergio Flesca

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Chiara Pulice

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Publications

2019
[p2]
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  - https://dblp.org/rec/books/sp/19/CassaviaFIMPP19
Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Giuseppe Papuzzo, Chiara Pulice:
High Performance Computing by the Crowd. Intelligent Methods and Big Data in Industrial Applications 2019: 91-101
2018
[j29]
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Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Chiara Pulice:
Distributed computing by leveraging and rewarding idling user resources from P2P networks. J. Parallel Distributed Comput. 122: 81-94 (2018)
2017
[c67]
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  - conf/ieeehpcs/CassaviaFIMPP17
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Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Giuseppe Papuzzo, Chiara Pulice:
Effective High Performance Computing using Peer To Peer Networks. HPCS 2017: 32-36
[c66]
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  - conf/pdp/CassaviaFIMPP17
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Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Giuseppe Papuzzo, Chiara Pulice:
A Peer to Peer Approach to Efficient High Performance Computing. PDP 2017: 539-542
[c65]
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  - electronic edition @ ceur-ws.org (open access)
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  - conf/sebd/CassaviaFIMPP17
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Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Giuseppe Papuzzo, Chiara Pulice:
Efficient High Performance Computing by user networks. SEBD 2017: 309
2016
[c63]
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  - conf/ideas/FazzingaFFMPP16
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Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice:
How, Who and When: Enhancing Business Process Warehouses By Graph Based Queries. IDEAS 2016: 242-247
[c62]
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Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice:
Efficient Analysis of Process Logs. SEBD 2016: 214-221
2015
[c60]
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  - conf/ismis/FazzingaFFMPP15
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Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice:
A Framework Supporting the Analysis of Process Logs Stored in Either Relational or NoSQL DBMSs. ISMIS 2015: 52-58

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