Demo Data from VLDB 2026 / reviewers in the wild / expert
Alpesh Patel
dblp:54/2246
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2000
—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 |
Interconnection networks and networks-on-chip · 67% Electronic design automation · 33% | |
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interconnection networks and networks-on-chip › graph embedding
hypercube embedding |
0.0 | 1 | 2000 | Area-Efficient VLSI Layouts for Binary Hypercubes · IEEE Trans. Computers 2000 |
Interconnection networks and networks-on-chip
hypercube network |
0.0 | 1 | 2000 | Area-Efficient VLSI Layouts for Binary Hypercubes · IEEE Trans. Computers 2000 |
Electronic design automation › physical design
VLSI layout |
0.0 | 1 | 2000 | Area-Efficient VLSI Layouts for Binary Hypercubes · IEEE Trans. Computers 2000 |
Graph algorithms and graph theory
graph layout |
0.0 | 1 | 2000 | Area-Efficient VLSI Layouts for Binary Hypercubes · IEEE Trans. Computers 2000 |
Methods — techniques the papers use, named apart from their topics
combinatorial analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Area-Efficient VLSI Layouts for Binary HypercubesabstractThe hypercube is an interesting and useful topology for parallel computation. While hypercubes have been analyzed in graph theory, this analysis has done little to determine the minimum area required for realizations of the hypercube topology on two-dimensional chips. In a common VLSI layout of the hypercube, the hypercube nodes are placed in a single-row in numeric order. This paper derives an easily computed formula for the minimum number of tracks used by this configuration. For an n-node hypercube, the number of tracks required is roughly two-thirds of n. This result is also a useful upper bound on the number of tracks required under optimal ordering. In general, the number of tracks required is a function of the ordering, but finding the optimal order (optimal in the sense of requiring the minimum number of tracks over all orderings) is NP-hard. Finally, the formula is applied to more area-efficient and practical two-dimensional hypercube layouts. In general, it allows estimation of and control over implementation parameters such as area and chip aspect ratios. Alpesh Patel, Anthony J. Kusalik, Carl McCrosky |
IEEE Trans. Computers | 1 |