Demo Data from SIGIR 2026 / reviewers in the wild / expert
Akira Hosoi
dblp:75/1503
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 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 |
High-performance computing · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 50% Medical and health informatics · 50% |
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
finite element simulation |
0.1 | 1 | 2010 | A Multi-Scale Heart Simulation on Massively Parallel Computers · SC 2010 |
High-performance computing
scientific computing systems |
0.1 | 1 | 2010 | A Multi-Scale Heart Simulation on Massively Parallel Computers · SC 2010 |
Medical and health informatics
cardiac modeling |
0.0 | 1 | 2010 | A Multi-Scale Heart Simulation on Massively Parallel Computers · SC 2010 |
Bioinformatics and computational biology
computational physiology |
0.0 | 1 | 2010 | A Multi-Scale Heart Simulation on Massively Parallel Computers · SC 2010 |
Methods — techniques the papers use, named apart from their topics
homogenization method · 0.2finite element method · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | A Multi-Scale Heart Simulation on Massively Parallel ComputersabstractTo understand the macroscopic function of the human heart based on sub-cellular microscopic events, multiscale analysis is indispensable. Our heart simulator uses the so-called homogenization method, where both the human heart and the myocardial cells are modeled and solved simultaneously by the finite element method. Because the contraction and deformation of each finite element in the heart model are governed by their respective cell model, the NDOF of all the cells becomes prohibitively large. Furthermore, the phenomena are highly nonlinear and transient. This challenging problem has been tackled by our group for many years, and a novel algorithm to accelerate the computation was implemented in the code. We have recently tested its performance using the T2K Open Supercomputer (Tokyo). A pulsation of the heart with a total NDOF of 160 million was successfully simulated using 6144 CPU cores in ten hours. Scalability and other computational performances were measured and are discussed. Akira Hosoi, Takumi Washio, Jun-ichi Okada, Yoshimasa Kadooka, Kengo Nakajima, Toshiaki Hisada |
SC | 1 |