EDBT 2026 Demo / reviewers in the wild / expert
Hannes Brunner
dblp:97/1325
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1993
—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.
| Network and information security
1 paper |
Cryptographic primitives and cryptanalysis · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Processor architecture and microarchitecture · 50% Integrated circuit design · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis
finite field arithmetic |
0.0 | 1 | 1993 | On Computing Multiplicative Inverses in GF(2^m) · IEEE Trans. Computers 1993 |
Cryptographic primitives and cryptanalysis › finite field arithmetic
modular inversion |
0.0 | 1 | 1993 | On Computing Multiplicative Inverses in GF(2^m) · IEEE Trans. Computers 1993 |
Processor architecture and microarchitecture
computer arithmetic |
0.0 | 1 | 1993 | On Computing Multiplicative Inverses in GF(2^m) · IEEE Trans. Computers 1993 |
Integrated circuit design
finite field arithmetic |
0.0 | 1 | 1993 | On Computing Multiplicative Inverses in GF(2^m) · IEEE Trans. Computers 1993 |
Methods — techniques the papers use, named apart from their topics
polynomial GCD · 0.0euclid's algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | On Computing Multiplicative Inverses in GF(2^m)abstractThe design of a modular standard basis inversion for Galois fields GF(2/sup m/) based on Euclid's algorithm for computing the greatest common divisor of two polynomials is presented. The asymptotic complexity is linear with m both in computation time and area requirement, thus resulting in an AT-complexity of O(m/sup 2/). This is a significant improvement over the best previous proposal which achieves AT-complexity of only O(m/sup 3/).> Hannes Brunner, Andreas Curiger, Max Hofstetter |
IEEE Trans. Computers | 1 |