Demo Data from EDBT 2026 / reviewers in the wild / expert
Tomonobu Ohyama
dblp:35/3808
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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 · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
finite element method |
0.1 | 1 | 2006 | Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L · SC 2006 |
High-performance computing
performance optimization at scale |
0.1 | 1 | 2006 | Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L · SC 2006 |
High-performance computing
scientific computing systems |
0.1 | 1 | 2006 | Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L · SC 2006 |
High-performance computing
structural analysis |
0.1 | 1 | 2006 | Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L · SC 2006 |
Methods — techniques the papers use, named apart from their topics
parallel structural analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/LabstractExisting commercial finite element analysis (FEA) codes do not exhibit the performance necessary for large scale analysis on parallel computer systems. In this paper, we demonstrate the performance characteristics of a commercial parallel structural analysis code, ADVC, on Blue Gene/L (BG/L). The numerical algorithm of ADVC is described, tuned, and optimized on BG/L, and then a large scale drop impact analysis of a mobile phone is performed. The model of the mobile phone is a nearly-full assembly that includes inner structures. The size of the model we have analyzed has 47 million nodal points and 142 million DOFs. This does not seem exceptionally large, but the dynamic impact analysis of a product model, with the contact condition on the entire surface of the outer case under this size, cannot be handled by other CAE systems. Our analysis is an unprecedented attempt in the electronics industry. It took only half a day, 12.1 hours, for the analysis of about 2.4 milliseconds. The floating point operation performance obtained has been 538 GFLOPS on 4096 node of BG/L. Hiroshi Akiba, Tomonobu Ohyama, Yoshinoir Shibata, Kiyoshi Yuyama, Yoshikazu Katai, Ryuichi Takeuchi, Takeshi Hoshino, Shinobu Yoshimura, Hirohisa Noguchi, Manish Gupta 0002, John A. Gunnels, Vernon Austel, Yogish Sabharwal, Rahul Garg 0001, Shoji Kato, Takashi Kawakami, Satoru Todokoro, Junko Ikeda |
SC | 2 |