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Piero Spinnato

dblp:60/3926 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2009
0000-0002-0423-3472ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
GPUs and heterogeneous computing · 50% Hardware accelerators and domain-specific architectures · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing › heterogeneous computing systems
hybrid computer
0.012004
Performance Modeling of Distributed Hybrid Architectures · IEEE Trans. Parallel Distributed Syst. 2004

Methods — techniques the papers use, named apart from their topics

simulation · 0.0performance modeling · 0.0
YearPublicationVenuePosition
2009 Special section on networks for grid applications
Piero Spinnato, Pascale Vicat-Blanc Primet, Chris Edwards, Michael Welzl
Future Gener. Comput. Syst.1
2004 Performance Modeling of Distributed Hybrid Architectures
abstract
Hybrid architectures are systems where a high performance general purpose computer is coupled to one or more special purpose devices (SPDs). Such a system can be the optimal choice for several fields of computational science. Configuring the system and finding the optimal mapping of the application tasks onto the hybrid machine often is not straightforward. Performance modeling is a tool to tackle and solve these problems. We have developed a performance model to simulate the behavior of a hybrid architecture consisting of a parallel multiprocessor where some nodes are the host of a GRAPE board. GRAPE is a very high performance SPD used in computational astrophysics. We validate our model on the architecture at our disposal, and show examples of predictions that our model can produce.
Piero Spinnato, G. Dick van Albada, Peter M. A. Sloot
IEEE Trans. Parallel Distributed Syst.1