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

Daniel Lapine

dblp:270/5356 · also Dan Lapine · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2011
0009-0002-4361-2093ORCID · verified

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
Hardware reliability and fault tolerance · 50% Distributed systems · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware reliability and fault tolerance › reliability modeling
failure modeling
0.112011
Modeling and tolerating heterogeneous failures in large parallel systems · SC 2011
Distributed systems
fault tolerance
0.112011
Modeling and tolerating heterogeneous failures in large parallel systems · SC 2011

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

failure modeling · 0.1
YearPublicationVenuePosition
2011 Modeling and tolerating heterogeneous failures in large parallel systems
abstract
As supercomputers and clusters increase in size and complexity, system failures are inevitable. Different hardware components (such as memory, disk, or network) of such systems can have different failure rates. Prior works assume failures equally affect an application, whereas our goal is to provide failure models for applications that reflect their specific component usage. This is challenging because component failure dynamics are heterogeneous in space and time.
Eric M. Heien, Derrick Kondo, Ana Gainaru, Daniel Lapine, William T. Kramer, Franck Cappello
SC4