EDBT 2026 Demo / reviewers in the wild / expert
Henricus Bouwmeester
dblp:14/7866
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2011
—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 · 67% Parallel and multicore computing · 33% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
numerical linear algebra |
0.1 | 1 | 2011 | Tiled QR factorization algorithms · SC 2011 |
High-performance computing › numerical linear algebra › matrix factorization
QR factorization |
0.1 | 1 | 2011 | Tiled QR factorization algorithms · SC 2011 |
Parallel and multicore computing › parallel algorithms › parallel algorithm design
tiled algorithm |
0.1 | 1 | 2011 | Tiled QR factorization algorithms · SC 2011 |
Methods — techniques the papers use, named apart from their topics
tiled algorithms · 0.2complexity analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Tiled QR factorization algorithmsabstractThis work revisits existing algorithms for the QR factorization of rectangular matrices composed of p × q tiles, where p ≥ q. Within this framework, we study the critical paths and performance of algorithms such as Sameh-Kuck, Fibonacci, Greedy, and those found within PLASMA. Although neither Fibonacci nor Greedy is optimal, both are shown to be asymptotically optimal for all matrices of size p = q2f(q), where f is any function such that lim+∞ f = 0. This novel and important complexity result applies to all matrices where p and q are proportional, p = λq, with λ ≥ 1, thereby encompassing many important situations in practice (least squares). We provide an extensive set of experiments that show the superiority of the new algorithms for tall matrices. Henricus Bouwmeester, Mathias Jacquelin, Julien Langou, Yves Robert |
SC | 1 |