Demo Data from EDBT 2026 / reviewers in the wild / expert
Venkatraman Viswanathan
dblp:99/4720
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2Theory of computation · 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.
| Theoretical computer science
1 paper |
Algorithms and data structures · 87% Computational complexity · 13% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing › parallel algorithms
dynamic programming |
0.0 | 1 | 1994 | Parallel Dynamic Programming · IEEE Trans. Parallel Distributed Syst. 1994 |
Parallel and multicore computing
parallel algorithms |
0.0 | 1 | 1994 | Parallel Dynamic Programming · IEEE Trans. Parallel Distributed Syst. 1994 |
Algorithms and data structures
dynamic programming |
0.0 | 1 | 1994 | Parallel Dynamic Programming · IEEE Trans. Parallel Distributed Syst. 1994 |
Algorithms and data structures › parallel algorithms
PRAM algorithms |
0.0 | 1 | 1994 | Parallel Dynamic Programming · IEEE Trans. Parallel Distributed Syst. 1994 |
Methods — techniques the papers use, named apart from their topics
parallel algorithm · 0.0CREW PRAM · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Parallel Dynamic ProgrammingabstractRecurrence formulations for various problems, such as finding an optimal order of matrix multiplication, finding an optimal binary search tree, and optimal triangulation of polygons, assume a similar form. A. Gibbons and W. Rytter (1988) gave a CREW PRAM algorithm to solve such dynamic programming problems. The algorithm uses O(n/sup 6//log n) processors and runs in O(log/sup 2/ n) time. In this article, a modified algorithm is presented that reduces the processor requirement to O(n/sup 6//log /sup 5/n) while maintaining the same time complexity of O(log/sup 2/ n).> Shou-Hsuan Stephen Huang, Venkatraman Viswanathan |
IEEE Trans. Parallel Distributed Syst. | 3 |
| 1992 | A Sublinear Parallel Algorithm for Some Dynamic Programming Problems
Shou-Hsuan Stephen Huang, Venkatraman Viswanathan |
Theor. Comput. Sci. | 3 |
| 1990 | A Sub-linear Parallel Algorithm for Some Dynamic Programming Problems
Shou-Hsuan Stephen Huang, Venkatraman Viswanathan |
ICPP (3) | 3 |