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1.
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The BondMachine toolkit: Enabling Machine Learning on FPGA
/ Mariotti, Mirko (U. Perugia (main) ; INFN, Perugia) ; Storchi, Loriano (INFN, Perugia ; U. Pescara (main)) ; Spiga, Daniele (INFN, Perugia) ; Salomoni, Davide (INFN, CNAF) ; Boccali, Tommaso (INFN, Pisa) ; Bonacorsi, Daniele (Bologna U.)
The BondMachine (BM) is an innovative prototype software ecosystem aimed at creating facilities where both hardware and software are co-designed, guaranteeing a full exploitation of fabric capabilities (both in terms of concurrency and heterogeneity) with the smallest possible power dissipation. In the present paper we will provide a technical overview of the key aspects of the BondMachine toolkit, highlighting the advancements brought about by the porting of Go code in hardware. [...]
SISSA, 2019 - 12 p.
- Published in : PoS ISGC2019 (2019) 020
Fulltext: PDF;
In : International Symposium on Grids & Clouds 2019, Taipei, Taiwan, 31 Mar - 5 Apr 2019, pp.020
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2.
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A container-based solution to generate HTCondor Batch Systems on demand exploiting heterogeneous Clouds for data analysis
/ Spiga, D (INFN, Perugia) ; Antonacci, M (INFN, Bari) ; Boccali, T (INFN, Pisa) ; Ceccanti, A (INFN, CNAF) ; Ciangottini, D (CERN ; INFN, Perugia) ; Donvito, G (INFN, Bari) ; Duma, C (INFN, CNAF) ; Salomoni, D (INFN, CNAF)
This paper describes the Dynamic On Demand Analysis Service (DODAS), an automated system that simplifies the process of provisioning, creating, managing and accessing a pool of heterogeneous computing and storage resources, by generating clusters to run batch systems thereby implementing the "Batch System as a Service" paradigm. DODAS is built on several INDIGO-DataCloud services among which: the PaaS Orchestrator, the Infrastructure Manager, and the Identity and Access Manager are the most important. [...]
2018 - 2 p.
- Published in : 10.1109/NSSMIC.2017.8533143
In : 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2017), Atlanta, Georgia, USA, 21 - 28 Oct 2017, pp.8533143
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3.
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8th I.N.F.N. International School on Architectures, tools and methodologies for developing efficient large scale scientific computing applications ESC16 - ESC16
24 - 29 Oct 2016
- Bertinoro, Italy
/ Giacomini, F (ed.) (INFN CNAF - Chair); Bastieri, D (ed.) (Padova University and INFN); Elmer, P (ed.) (Princeton University); Eulisse, G (ed.) (CERN); Galli, D (ed.) (Bologna University and INFN); Innocente, V (ed.) (CERN); Mattson, T G (ed.) (INTEL Corp.); Salomoni, D (ed.) (INFN CNAF); Vagnoni, V (ed.) (INFN Bologna); Morandin, M (ed.) (INFN Padova - School Director) et al.
2016
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4.
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7th INFN International School on "Architectures, tools and methodologies for developing efficient large scientific computing applications - ESC15" - ESC15
26 - 31 Oct 2015
- Bertinoro (fc), Italy
/ Elmer, P (ed.) (Princeton University); Bastieri, D (ed.) (Padova University and INFN); Galli, D (ed.) (Bologna University and INFN); Giacomini, F (ed.) (INFN CNAF); Innocente, V (ed.) (CERN); Mattson, T G (ed.) (INTEL Corp.); Salomoni, D (ed.) (INFN CNAF); Vagnoni, V (ed.) (INFN Bologna); Morandin, M (ed.) (INFN Padova); Stroili, R (ed.) (Padova University and INFN) et al.
2015
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5.
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Grids and Clouds Integration and Interoperability: an overview
/ Di Meglio, Alberto (CERN) ; Riedel, Morris (Julich, Forschungszentrum) ; Memon, Shahbaz (Julich, Forschungszentrum) ; Loomis,Cal (Orsay, LAL) ; Salomoni, Davide (INFN, CNAF)
2011
- Published in : PoS: ISGC 2011 & OGF 31 (2011) , pp. 112
Published version from PoS: PDF;
In : International Symposium on Grids and Clouds and Open Grid Forum, Taipei, Taiwan, 19 - 25 Mar 2011, pp.112
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6.
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A comparison of data-access platforms for BaBar and ALICE analysis computing model at the Italian Tier1
/ Fella, A (INFN, CNAF) ; Furano, F (CERN) ; Li Gioi, L (INFN, CNAF) ; Noferini, F (INFN, CNAF) ; Steinke, M (Ruhr U., Bochum) ; Andreotti, D (INFN, Ferrara) ; Cavalli, A (INFN, CNAF) ; Chierici, A (INFN, CNAF) ; dell'Agnello, L (INFN, CNAF) ; Gregori, D (INFN, CNAF) et al.
2010 - 10 p.
In : 17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.072003
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7.
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Deployment of job priority mechanisms in the Italian cloud of the ATLAS experiment
/ Doria, Alessandra (INFN, Naples) ; Barchiesi, Alex (INFN, Rome) ; Campana, Simone (CERN) ; Carlino, Gianpaolo (INFN, Naples) ; Ciocca, Claudia (INFN, CNAF) ; De Salvo, Alessandro (INFN, Naples) ; Italiano, Alessandro (INFN, CNAF) ; Musto, Elisa (INFN, Naples) ; Perini, Laura (INFN, Milan) ; Pistolese, Massimo (INFN, Milan) et al.
2010 - 10 p.
In : 17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.072001
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8.
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Second I.N.F.N. International School on "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" - ESC10
22 - 27 Nov 2010
- Bertinoro (fc), Italy
/ Ruggieri, F (ed.) (INFN Roma Tre - Chair); Binet, S (ed.) (CNRS IN2P3); Calafiura, P (ed.) (LBNL); Elmer, P (ed.) (Princeton University); Furano, F (ed.) (CERN); Galli, D (ed.) (Bologna University and INFN); Jarp, S (ed.) (CERN); Hanushevsky, A (ed.) (SLAC); Innocente, V (ed.) (CERN); Lazzaro, A (ed.) (CERN) et al.
2010
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9.
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First I.N.F.N. International School on "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" - ESC09
12 - 17 Oct 2009
- Bertinoro, Italy
/ Ruggieri, F (ed.) (INFN Roma Tre); Calafiura, P (ed.) (LBNL); De Salvo, A (ed.) (INFN Roma); Elmer, P (ed.) (Princeton University); Furano, F (ed.) (CERN); Jarp, S (ed.) (CERN); Galeazzi, F (ed.) (INFN Roma Tre); Hanushevsky, A (ed.) (SLAC); Innocente, V (ed.) (CERN); Lazzaro, A (ed.) (CERN) et al.
2009
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10.
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Storage management solutions and performance tests at the INFN Tier-1
/ Bencivenni, M (INFN, CNAF) ; Carbone, A (INFN, CNAF) ; Chierici, A (INFN, CNAF) ; D'Apice, A (INFN, CNAF) ; Girolamo, D D (INFN, CNAF) ; dell'Agnello, L (INFN, CNAF) ; Donatelli, M (INFN, CNAF) ; Donvito, G (INFN, Bari) ; Fella, A (INFN, CNAF) ; Forti, A (INFN, CNAF) et al.
Performance, reliability and scalability in data access are key issues in the context of HEP data processing and analysis applications. In this paper we present the results of a large scale performance measurement performed at the INFN-CNAF Tier-1, employing some storage solutions presently available for HEP computing, namely CASTOR, GPFS, Scalla/Xrootd and dCache. [...]
2008
- Published in : J. Phys.: Conf. Ser. 119 (2008) 052003
In : International Conference on Computing in High Energy and Nuclear Physics, Victoria, Canada, 2 - 7 Sep 2007, pp.052003
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