D
Dennis Hoppe
Researcher at University of Stuttgart
Publications - 17
Citations - 117
Dennis Hoppe is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 4, co-authored 14 publications receiving 90 citations. Previous affiliations of Dennis Hoppe include Bauhaus University, Weimar.
Papers
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Proceedings ArticleDOI
TIRA: Configuring, Executing, and Disseminating Information Retrieval Experiments
TL;DR: The TIRA (Testbed for Information Retrieval Algorithms) web framework is presented, which is currently used as an official evaluation platform for the well-established PAN international plagiarism detection competition and possesses a unique set of compelling features in comparison to existing web-based solutions.
Journal ArticleDOI
Container orchestration on HPC systems through Kubernetes
Naweiluo Zhou,Yiannis Georgiou,Marcin Pospieszny,Li Zhong,Huan Zhou,Christoph Niethammer,Branislav Pejak,Oskar Marko,Dennis Hoppe +8 more
TL;DR: Torque-Operator as discussed by the authors is a hybrid architecture that integrates HPC and Cloud clusters seamlessly with little interference to HPC systems where container orchestration is performed on two levels.
Proceedings ArticleDOI
Beyond precision@10: clustering the long tail of web search results
TL;DR: The paper addresses the missing user acceptance of web search result clustering and proposes and analyzes a filtering approach to significantly alleviate the label shadowing effect.
Proceedings ArticleDOI
Large-Scale System Monitoring Experiences and Recommendations
Ville Ahlgren,Stefan Andersson,Jim Brandt,Nicholas Cardo,Sudheer Chunduri,Jeremy Enos,Parks Fields,Ann C. Gentile,Richard A. Gerber,Michael Gienger,Joe Greenseid,Annette Greiner,Bilel Hadri,Yun He,Dennis Hoppe,Urpo Kaila,Kaki Kelly,Mark Klein,Alex Kristiansen,Steve Leak,Mike Mason,Kevin Pedretti,Jean-Guillaume Piccinali,Jason Repik,James H. Rogers,Susanna Salminen,Mike Showerman,Cary Whitney,James C. Williams +28 more
TL;DR: This paper presents work performed at a number of large-scale HPC sites towards developing monitoring capabilities that fill current gaps in ease of problem identification and root cause discovery and presents the collective views based on the experiences presented.
Proceedings Article
The Impact of Spelling Errors on Patent Search
TL;DR: This work quantifies spelling errors in the assignee field of patents granted by the United States Patent & Trademark Office in terms of edit distance and phonological dissimilarity and renders error detection as a learning problem that combines word dissimilarities with patent meta-features.