Demo Data from EDBT 2026 / reviewers in the wild / expert
Walter Parks Goodwin
dblp:125/2401
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1989
—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 |
Parallel and multicore computing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing › parallel algorithms › sorting
parallel sorting |
0.0 | 1 | 1989 | Implementing parallel sorting algorithms on a linear array of transputers · SC 1989 |
Parallel and multicore computing › parallel architecture
linear array processors |
0.0 | 1 | 1989 | Implementing parallel sorting algorithms on a linear array of transputers · SC 1989 |
Methods — techniques the papers use, named apart from their topics
message passing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Implementing parallel sorting algorithms on a linear array of transputersabstractThis paper presents experimental results on a linear array of transputers for three parallel sorting algorithms, odd-even transposition sort, weavesort, and pipelined-merge sort. Though a significant amount of message communication is usually required for implementing sorting algorithms on any linear array of processors, in our experiments it is observed that the actual time spent for this is not a major overhead. This is because of the high communication bandwidth provided by the transputer system. Each of the three algorithms are described in a high-level parallel language. The number of message communications and merging complexities of these algorithms are analyzed and compared. We plot performance parameters, including parallel time complexities and resulting speedups, as functions of the number of processors used and the number of elements to be sorted. Walter Parks Goodwin, Sajal K. Das 0001 |
SC | 1 |