Demo Data from EDBT 2026 / reviewers in the wild / expert
Thierry PetitJean
dblp:48/6883
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 |
Performance modeling and evaluation · 56% Parallel and multicore computing · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › performance prediction
execution time prediction |
0.0 | 1 | 1992 | Computer-Assisted Microanalysis of Parallel Programs · ACM Trans. Program. Lang. Syst. 1992 |
Parallel and multicore computing › parallel computing
parallel program analysis |
0.0 | 1 | 1992 | Computer-Assisted Microanalysis of Parallel Programs · ACM Trans. Program. Lang. Syst. 1992 |
Performance modeling and evaluation
simulation |
0.0 | 1 | 1992 | Computer-Assisted Microanalysis of Parallel Programs · ACM Trans. Program. Lang. Syst. 1992 |
Methods — techniques the papers use, named apart from their topics
program analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Computer-Assisted Microanalysis of Parallel ProgramsabstractThis paper consists of two parts: the first provides the theoretical foundations for analyzing parallel programs and illustrates how the theory can be applied to estimate the execution time of a class of parallel programs being executed on a MIMD computer. The second part describes a program analysis system, based on the theoretical model, which allows a user to interactively analyze the results of executing (or simulating the execution) of such parallel programs. Several examples illustrating the use of the tool are presented. A novel contribution is the separation (both at the conceptual and the implementation levels) of the machine-independent and the machine-dependent parts of the analysis. This separation enables the users of the system to establish speed-up curves for machines having varying characteristics. Timothy J. Hickey, Jacques Cohen, Hitofumi Hotta, Thierry PetitJean |
ACM Trans. Program. Lang. Syst. | 4 |