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

Andre V. Marianiello

dblp:169/1726 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2015
—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.

Software engineering, system software, and programming languages
1 paper
Concurrent programming · 67% Program verification · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Concurrent programming
concurrency models
0.212015
CIVL: the concurrency intermediate verification language · SC 2015
Concurrent programming
concurrency verification
0.212015
CIVL: the concurrency intermediate verification language · SC 2015
Program verification › deductive verification
intermediate verification language
0.212015
CIVL: the concurrency intermediate verification language · SC 2015
Parallel and multicore computing
parallel programming models
0.112015
CIVL: the concurrency intermediate verification language · SC 2015

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

intermediate verification language · 0.4
YearPublicationVenuePosition
2015 CIVL: the concurrency intermediate verification language
abstract
There are many ways to express parallel programs: message-passing libraries (MPI) and multithreading/GPU language extensions such as OpenMP, Pthreads, and CUDA, are but a few. This multitude creates a serious challenge for developers of software verification tools: it takes enormous effort to develop such tools, but each development effort typically targets one small part of the concurrency landscape, with little sharing of techniques and code among efforts.
Stephen F. Siegel, Manchun Zheng, Ziqing Luo, Timothy K. Zirkel, Andre V. Marianiello, John G. Edenhofner, Matthew B. Dwyer, Michael S. Rogers
SC5