Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tadashi Ogitsu
dblp:189/1167
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-4838-976XORCID · reported
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 · 50% Parallel and multicore computing · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing › parallel algorithms › parallel algorithm design
scalable parallel algorithms |
0.2 | 1 | 2016 | Modeling dilute solutions using first-principles molecular dynamics: computing more than a million atoms with over a million cores · SC 2016 |
High-performance computing
scientific computing systems |
0.2 | 1 | 2016 | Modeling dilute solutions using first-principles molecular dynamics: computing more than a million atoms with over a million cores · SC 2016 |
Methods — techniques the papers use, named apart from their topics
spatial decomposition · 0.2o(n) electronic structure solver · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Modeling dilute solutions using first-principles molecular dynamics: computing more than a million atoms with over a million coresabstractFirst-Principles Molecular Dynamics (FPMD) methods, although powerful, are notoriously expensive computationally due to the quantum modeling of electrons. Traditional FPMD approaches have typically been limited to a few thousand atoms at most, due to O(N3) or worse solver complexity and the large amount of communication required for highly parallel implementations. Attempts to lower the complexity have often introduced uncontrolled approximations or systematic errors. Using a robust new algorithm, we have developed an O(N) complexity solver for electronic structure problems with fully controllable numerical error. Its minimal use of global communications yields excellent scalability, allowing for very accurate FPMD simulations of more than a million atoms on over a million cores. At these scales, this approach provides multiple orders of magnitude speedup compared to the standard plane-wave approach typically used in condensed matter applications, without sacrificing accuracy. This will open up entire new classes of FPMD simulations, e.g. dilute aqueous solutions. Jean-Luc Fattebert, Daniel Osei-Kuffuor, Erik W. Draeger, Tadashi Ogitsu, William D. Krauss |
SC | 4 |