EDBT 2026 Demo / reviewers in the wild / expert
C. Belo
dblp:52/163
· 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
Systems, architecture and hardware · 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 |
Parallel and multicore computing · 50% High-performance computing · 25% Performance modeling and evaluation · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation
parallel performance evaluation |
0.0 | 1 | 1988 | Parallel processing on supercomputers: a set of computional experiments · SC 1988 |
Parallel and multicore computing
parallel programming models |
0.0 | 1 | 1988 | Parallel processing on supercomputers: a set of computional experiments · SC 1988 |
High-performance computing
performance optimization at scale |
0.0 | 1 | 1988 | Parallel processing on supercomputers: a set of computional experiments · SC 1988 |
Parallel and multicore computing › parallelization strategies
vectorization and multitasking |
0.0 | 1 | 1988 | Parallel processing on supercomputers: a set of computional experiments · SC 1988 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Parallel processing on supercomputers: a set of computional experimentsabstractThe three types of parallelism currently available on the Cray are considered, namely, vectorization, microtasking, and macrotasking. Experiences with all three constructs are presented to show the improvements possible with each of them. While a particular machine, the Cray X-MP/48, has been used, many of the observations, comments, and conclusions derived can be generalized to other shared-memory multiprocessor systems.> Nikhil Balram, C. Belo, José M. F. Moura |
SC | 2 |