Demo Data from EDBT 2026 / reviewers in the wild / expert
T. Iwamiya
dblp:95/2202
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1994
—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 · 67% Parallel and multicore computing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing › scientific computing systems
computational fluid dynamics |
0.0 | 1 | 1994 | Development and achievement of NAL Numerical Wind Tunnel (NWT) for CFD computations · SC 1994 |
High-performance computing
distributed memory systems |
0.0 | 1 | 1994 | Development and achievement of NAL Numerical Wind Tunnel (NWT) for CFD computations · SC 1994 |
Parallel and multicore computing
parallel architecture |
0.0 | 1 | 1994 | Development and achievement of NAL Numerical Wind Tunnel (NWT) for CFD computations · SC 1994 |
Methods — techniques the papers use, named apart from their topics
parallel computation model · 0.0fortran · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Development and achievement of NAL Numerical Wind Tunnel (NWT) for CFD computationsabstractNAL Numerical Wind Tunnel (NWT) is a distributed memory parallel computer developed through joint research and development of NAL and Fujitsu. It is based on the analysis of CFD codes developed in NAL. The target performance is more than 100 times faster than VP400. In this paper, the parallel computation model employed in the development of the NWT is described. The specification and feature of the NWT and the NWT Fortran are discussed. Finally, performance evaluations and some applications are presented. We find that the target performance is attained.> H. Miyoshi, Masahiro Fukuda, T. Iwamiya, M. Tuchiya, Masahiro Yoshida, Kazuomi Yamamoto, S. Ogawa, Y. Matsuo, Takashi Yamane 0002, Moriyuki Takamura, Shin Okada, Yoshinori Sakamoto, T. Kitamura, H. Hatama, M. Kishimoto |
SC | 3 |