Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Hitofumi Hotta

dblp:62/1399 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › performance prediction
execution time prediction
0.011992
Computer-Assisted Microanalysis of Parallel Programs · ACM Trans. Program. Lang. Syst. 1992
Parallel and multicore computing › parallel computing
parallel program analysis
0.011992
Computer-Assisted Microanalysis of Parallel Programs · ACM Trans. Program. Lang. Syst. 1992
Performance modeling and evaluation
simulation
0.011992
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
YearPublicationVenuePosition
1992 Computer-Assisted Microanalysis of Parallel Programs
abstract
This 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.3