Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912452932> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2912452932 abstract "Time series data is naturally formed by repeated measurements over time and their analysis in various science and engineering disciplines precedes the digital age. With progressing digitalization the amount and detail of such data is ever more growing and drives the demand for performant data mining tools to gain insights from the increasing amounts of data. The matrix profile proposed is a data structure which can serve in a variety of time series data mining tasks like motif search or clustering. Such analysis can be performed with little effort given the matrix profile, but obtaining the latter is is a computationally intensive task.In this work we investigate migration of the matrix profile computation to a high performance computing cluster utilizing the MPI standard. Highly optimized parallel routines of MPI and the vast number of available computing elements on such clusters allow users to scale their algorithms in terms of runtime and level of detail according to their needs within the most distant limits.We present an approach, which enables the analysis of previously intractably large time series based on the matrix profile. It provides nearly unlimited scalability to solve large problems within reasonable runtimes according to the users needs.In this work we provide a brief overview of time series analysis in general and review the contributions of the matrix profile in the field. We present applicable sequential optimizations to the SCRIMP kernel, on which we base our implementation. In particular we examine two parallelization approaches: the first one is based on suggestions from literature. In contrast to it, the second parallelization approach proposed by us in this work provides scalability to longer time series, as it is not bound by single-node hardware. To asses the quality of the implementations we perform a series of scaling experiments. We investigate potential scaling bottlenecks of the implementations and fit a runtime model to predict tractability of time series analysis when applying the approach in practice." @default.
- W2912452932 created "2019-02-21" @default.
- W2912452932 creator A5014687319 @default.
- W2912452932 date "2019-01-01" @default.
- W2912452932 modified "2023-09-27" @default.
- W2912452932 title "Time Series Analysis with Matrix Profile on HPC Systems" @default.
- W2912452932 hasPublicationYear "2019" @default.
- W2912452932 type Work @default.
- W2912452932 sameAs 2912452932 @default.
- W2912452932 citedByCount "0" @default.
- W2912452932 crossrefType "journal-article" @default.
- W2912452932 hasAuthorship W2912452932A5014687319 @default.
- W2912452932 hasConcept C106487976 @default.
- W2912452932 hasConcept C11413529 @default.
- W2912452932 hasConcept C119857082 @default.
- W2912452932 hasConcept C120314980 @default.
- W2912452932 hasConcept C121332964 @default.
- W2912452932 hasConcept C124101348 @default.
- W2912452932 hasConcept C143724316 @default.
- W2912452932 hasConcept C151406439 @default.
- W2912452932 hasConcept C151730666 @default.
- W2912452932 hasConcept C154945302 @default.
- W2912452932 hasConcept C159985019 @default.
- W2912452932 hasConcept C162319229 @default.
- W2912452932 hasConcept C163716315 @default.
- W2912452932 hasConcept C173608175 @default.
- W2912452932 hasConcept C192562407 @default.
- W2912452932 hasConcept C199360897 @default.
- W2912452932 hasConcept C202444582 @default.
- W2912452932 hasConcept C33923547 @default.
- W2912452932 hasConcept C41008148 @default.
- W2912452932 hasConcept C45374587 @default.
- W2912452932 hasConcept C459310 @default.
- W2912452932 hasConcept C48044578 @default.
- W2912452932 hasConcept C56372850 @default.
- W2912452932 hasConcept C62520636 @default.
- W2912452932 hasConcept C73555534 @default.
- W2912452932 hasConcept C77088390 @default.
- W2912452932 hasConcept C83283714 @default.
- W2912452932 hasConcept C86803240 @default.
- W2912452932 hasConcept C9652623 @default.
- W2912452932 hasConceptScore W2912452932C106487976 @default.
- W2912452932 hasConceptScore W2912452932C11413529 @default.
- W2912452932 hasConceptScore W2912452932C119857082 @default.
- W2912452932 hasConceptScore W2912452932C120314980 @default.
- W2912452932 hasConceptScore W2912452932C121332964 @default.
- W2912452932 hasConceptScore W2912452932C124101348 @default.
- W2912452932 hasConceptScore W2912452932C143724316 @default.
- W2912452932 hasConceptScore W2912452932C151406439 @default.
- W2912452932 hasConceptScore W2912452932C151730666 @default.
- W2912452932 hasConceptScore W2912452932C154945302 @default.
- W2912452932 hasConceptScore W2912452932C159985019 @default.
- W2912452932 hasConceptScore W2912452932C162319229 @default.
- W2912452932 hasConceptScore W2912452932C163716315 @default.
- W2912452932 hasConceptScore W2912452932C173608175 @default.
- W2912452932 hasConceptScore W2912452932C192562407 @default.
- W2912452932 hasConceptScore W2912452932C199360897 @default.
- W2912452932 hasConceptScore W2912452932C202444582 @default.
- W2912452932 hasConceptScore W2912452932C33923547 @default.
- W2912452932 hasConceptScore W2912452932C41008148 @default.
- W2912452932 hasConceptScore W2912452932C45374587 @default.
- W2912452932 hasConceptScore W2912452932C459310 @default.
- W2912452932 hasConceptScore W2912452932C48044578 @default.
- W2912452932 hasConceptScore W2912452932C56372850 @default.
- W2912452932 hasConceptScore W2912452932C62520636 @default.
- W2912452932 hasConceptScore W2912452932C73555534 @default.
- W2912452932 hasConceptScore W2912452932C77088390 @default.
- W2912452932 hasConceptScore W2912452932C83283714 @default.
- W2912452932 hasConceptScore W2912452932C86803240 @default.
- W2912452932 hasConceptScore W2912452932C9652623 @default.
- W2912452932 hasLocation W29124529321 @default.
- W2912452932 hasOpenAccess W2912452932 @default.
- W2912452932 hasPrimaryLocation W29124529321 @default.
- W2912452932 hasRelatedWork W1537097398 @default.
- W2912452932 hasRelatedWork W1995195328 @default.
- W2912452932 hasRelatedWork W1995847347 @default.
- W2912452932 hasRelatedWork W2067046210 @default.
- W2912452932 hasRelatedWork W2183359509 @default.
- W2912452932 hasRelatedWork W2273481398 @default.
- W2912452932 hasRelatedWork W2425845533 @default.
- W2912452932 hasRelatedWork W2487870478 @default.
- W2912452932 hasRelatedWork W2604532416 @default.
- W2912452932 hasRelatedWork W2753241298 @default.
- W2912452932 hasRelatedWork W2921723613 @default.
- W2912452932 hasRelatedWork W2949554124 @default.
- W2912452932 hasRelatedWork W2949850466 @default.
- W2912452932 hasRelatedWork W2985253298 @default.
- W2912452932 hasRelatedWork W3019939235 @default.
- W2912452932 hasRelatedWork W3099116264 @default.
- W2912452932 hasRelatedWork W3165904637 @default.
- W2912452932 hasRelatedWork W817491301 @default.
- W2912452932 hasRelatedWork W9732639 @default.
- W2912452932 hasRelatedWork W2240705120 @default.
- W2912452932 isParatext "false" @default.
- W2912452932 isRetracted "false" @default.
- W2912452932 magId "2912452932" @default.
- W2912452932 workType "article" @default.