Demo Data from EDBT 2026 / reviewers in the wild / expert
Piero Spinnato
dblp:60/3926
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing › heterogeneous computing systems
hybrid computer |
0.0 | 1 | 2004 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 ArchitecturesabstractHybrid 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 |