Demo Data from EDBT 2026 / reviewers in the wild / expert
Derek Feichtinger
dblp:97/2687
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2010
0009-0009-4259-5210ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3
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 |
High-performance computing · 41% Distributed systems · 18% Parallel and multicore computing · 18% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
cluster computing |
0.1 | 1 | 2006 | PROOF - The Parallel ROOT Facility · HPDC 2006 |
High-performance computing › performance optimization
data access optimization |
0.1 | 1 | 2006 | PROOF - The Parallel ROOT Facility · HPDC 2006 |
Distributed systems › distributed data processing
distributed data analytics |
0.1 | 1 | 2006 | PROOF - The Parallel ROOT Facility · HPDC 2006 |
Parallel and multicore computing › parallel computing
parallel data processing |
0.1 | 1 | 2006 | PROOF - The Parallel ROOT Facility · HPDC 2006 |
Electronic design automation › high-level synthesis
scheduling |
0.1 | 1 | 2006 | PROOF - The Parallel ROOT Facility · HPDC 2006 |
Storage systems
distributed storage |
0.0 | 1 | 2006 | PROOF - The Parallel ROOT Facility · HPDC 2006 |
High-performance computing › cluster computing
heterogeneous clusters |
0.0 | 1 | 2006 | PROOF - The Parallel ROOT Facility · HPDC 2006 |
Methods — techniques the papers use, named apart from their topics
multi-tier architecture · 0.1i/o optimization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Distributed Analysis in CMS
Alessandra Fanfani, M. Anzar Afaq, Jose Afonso Sanches, Julia Andreeva, Giuseppe Bagliesi, L. A. T. Bauerdick, Stefano Belforte, Patricia Bittencourt Sampaio, Kenneth Bloom, Barry Blumenfeld, Daniele Bonacorsi, Chris Brew, Marco Calloni, Daniele Cesini, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'Hondt, Danilo N. Dongiovanni, Giacinto Donvito, David Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina, Derek Feichtinger, Ian Fisk, Josep Flix, Claudio Grandi, Yuyi Guo, Kalle Happonen, José M. Hernández, Chih-Hao Huang, Kejing Kang, Edward Karavakis, Matthias Kasemann, Carlos Kavka, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, Tibor Kurca, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia McBride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga, Lassi A. Tuura, Eric Wayne Vaandering, Lukas Vanelderen, Petra Van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein |
J. Grid Comput. | 29 |
| 2008 | Initializing a National Grid Infrastructure - Lessons Learned from the Swiss National Grid Association Seed ProjectabstractIn addition to multi-national Grid infrastructures, several countries operate their own national Grid infrastructures to support science and industry within national borders. These infrastructures have the benefit of better satisfying the needs of local, regional and national user communities. Although Switzerland has strong research groups in several fields of distributed computing, only recently a national Grid effort was kick-started to integrate a truly heterogeneous set of resource providers, middleware pools, and users. In the following article we discuss our efforts to start Grid activities at a national scale to combine several scientific communities and geographical domains. We make a strong case for the need of standards that have to be built on top of existing software systems in order to provide support for a heterogeneous Grid infrastructure. Nabil Abdennadher, Derek Feichtinger, Dean Flanders, Placi Flury, Sigve Haug, Pascal Jermini, Sergio Maffioletti, Cesare Pautasso, Heinz Stockinger, Wibke Sudholt, Michela Thiémard, Nadya Williams, Christoph Witzig |
CCGRID | 3 |
| 2006 | PROOF - The Parallel ROOT FacilityabstractThe parallel ROOT facility, PROOF, enables the interactive analysis of distributed data sets in a transparent way. It exploits the inherent parallelism in data sets of uncorrelated events via a multi-tier architecture that optimizes I/O and CPU utilization in heterogeneous clusters with distributed storage. On a grid, PROOF can use the available services to find out the location of data to analyze and the resources to use. Dedicated PROOF-enabled test-beds are now being deployed for testing by the LHC experiments. Being part of the ROOT framework PROOF inherits the benefits of a high performance object-oriented storage system and a wealth of statistical and visualization tools. The basic ideas and architecture underlying the PROOF project are described, together with the status of the project, focusing mostly on the issues of data access optimization, scheduling of user sessions and user interface Bertrand Bellenot, Rene Brun, Gerardo Ganis, Jan Iwaszkiewicz, Guenter Kickinger, Andreas J. Peters, Fons Rademakers, Maarten Ballintijn, C. Loizides, C. Reed, Philippe Canal, Derek Feichtinger |
HPDC | 12 |