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.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Heinz Scholian

dblp:87/5093 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1993
—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 · 56% Performance modeling and evaluation · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel programming environment		 0.011993
The M3 Multiprocessor Laboratory · IEEE Trans. Parallel Distributed Syst. 1993
Performance modeling and evaluation
performance analysis tools		 0.011993
The M3 Multiprocessor Laboratory · IEEE Trans. Parallel Distributed Syst. 1993
Parallel and multicore computing
multiprocessor system		 0.011993
The M3 Multiprocessor Laboratory · IEEE Trans. Parallel Distributed Syst. 1993

Methods — techniques the papers use, named apart from their topics

performance measurement · 0.0debugging · 0.0
YearPublicationVenuePosition
1993 The M3 Multiprocessor Laboratory
abstract
An integrated programming environment for the M/sup 3/ multiprocessor is discussed. Three tools support the software development cycle of a parallel program, including the programming, configuration, and debugging/performance measurement phases. Programmer support for performance analysis has been a primary motivation for the system. The sources of performance loss are identified and the ways in which this information is gathered and analyzed are described. As a case study, a fast maze router algorithm is used to show the functionality of the different tools. The M/sup 3/ environment is compared with other state-of-the-art projects.>
Helmar Burkhart, Rudolf Eigenmann, Heinz Kindlimann, Michael Moser, Heinz Scholian
 IEEE Trans. Parallel Distributed Syst.5