Demo Data from EDBT 2026 / reviewers in the wild / expert
J. G. Rogers
dblp:27/4314
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 67% Parallel and multicore computing · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing
parallel computing |
0.0 | 1 | 1988 | A Real Time Parallel Processing Data Acquisition System · RTSS 1988 |
Embedded and real-time systems › real-time embedded systems
real-time data acquisition |
0.0 | 1 | 1988 | A Real Time Parallel Processing Data Acquisition System · RTSS 1988 |
Embedded and real-time systems
real-time scheduling |
0.0 | 1 | 1988 | A Real Time Parallel Processing Data Acquisition System · RTSS 1988 |
Medical and health informatics
medical imaging |
0.0 | 1 | 1988 | A Real Time Parallel Processing Data Acquisition System · RTSS 1988 |
Medical and health informatics › medical imaging › nuclear medicine imaging
positron emission tomography |
0.0 | 1 | 1988 | A Real Time Parallel Processing Data Acquisition System · RTSS 1988 |
Methods — techniques the papers use, named apart from their topics
parallel processing · 0.0VME architecture · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | A Real Time Parallel Processing Data Acquisition SystemabstractThe design of a VME-based parallel-processing data-acquisition system for the proposed TRIUMF/UBC positron emission tomographs is described. Event records, consisting of eight bytes of data, must be acquired and digitally processed at rates of 250000 to 500000 events per second, corresponding to a data acquisition rate of up to 4 Mb/s. Real-time processing is necessary to reduce the data storage required by half to about 80-90 Mb for a typical patient run, and it also reduces the average data flow and directly reduces the time required for image reconstruction. Real-time data acquisition and processing requirements can be met by about 40 20-MHz Motorola 6820/68881 processors operating asynchronously and in parallel. The authors present the system architecture, the software design, and the hardware design that realizes this very high performance.> N. A. Wilkinson, M. Stella Atkins, J. G. Rogers |
RTSS | 3 |