VLDB 2026 Research / reviewers in the wild / expert
Christian Heckler
dblp:63/6683
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 |
Parallel and multicore computing · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% | |
| Network and information security
1 paper |
Cryptographic primitives and cryptanalysis · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing › parallel algorithms
parallel algorithm analysis |
0.0 | 1 | 1998 | Complexity Analysis of a Parallel Lattice Basis Reduction Algorithm · SIAM J. Comput. 1998 |
Algorithms and data structures › number-theoretic algorithms
lattice basis reduction |
0.0 | 1 | 1998 | Complexity Analysis of a Parallel Lattice Basis Reduction Algorithm · SIAM J. Comput. 1998 |
Cryptographic primitives and cryptanalysis › post-quantum cryptography
lattice-based cryptography |
0.0 | 1 | 1998 | Complexity Analysis of a Parallel Lattice Basis Reduction Algorithm · SIAM J. Comput. 1998 |
Methods — techniques the papers use, named apart from their topics
parallel LLL algorithm · 0.1mesh interconnection network · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Complexity Analysis of a Parallel Lattice Basis Reduction AlgorithmabstractLattice basis reduction is an important problem in geometry of numbers with applications in combinatorial optimization, computer algebra, and cryptography. The well-known sequential LLL algorithm finds a short vector in O(n 4 log B) arithmetic operations on integers having binary length O(n log B), where n denotes the dimension of the lattice and B denotes the maximum L 2 norm of the initial basis vectors. In this paper a new analysis of the parallel algorithm of Roch and Villard is presented. It is shown that on an n x n mesh it needs O(n 2 log B) arithmetic operations on integers having binary length O(n log B). This improves the previous analysis and shows that an asymptotical speedup of n 2 is possible using n 2 processors. Christian Heckler, Lothar Thiele |
SIAM J. Comput. | 1 |