About: Opportunities for Cost Savings with In-Transit Visualization

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Opportunities for Cost Savings with In-Transit Visualization
Creator	Choi, Jong Childs, Hank Kim, Mark Klasky, Scott Kress, James Larsen, Matthew Podhorszki, Norbert Pugmire, David Wolf, Matthew
Source	PMC
abstract	We analyze the opportunities for in-transit visualization to provide cost savings compared to in-line visualization. We begin by developing a cost model that includes factors related to both in-line and in-transit which allows comparisons to be made between the two methods. We then run a series of studies to create a corpus of data for our model. We run two different visualization algorithms, one that is computation heavy and one that is communication heavy with concurrencies up to 32, 768 cores. Our primary results are in exploring the cost model within the context of our corpus. Our findings show that in-transit consistently achieves significant cost efficiencies by running visualization algorithms at lower concurrency, and that in many cases these efficiencies are enough to offset other costs (transfer, blocking, and additional nodes) to be cost effective overall. Finally, this work informs future studies, which can focus on choosing ideal configurations for in-transit processing that can consistently achieve cost efficiencies.
has issue date	2020-05-22(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50743-5_8
has license	no-cc
sha1sum (hex)	40166798805a083ee361def4d4e1180fa89b2151
schema:url	https://doi.org/10.1007/978-3-030-50743-5_8
resource representing a document's title	Opportunities for Cost Savings with In-Transit Visualization
has PubMed Central identifier	PMC7295346
schema:publication	High Performance Computing
resource representing a document's body	covid:40166798805a083ee361def4d4e1180fa89b2151#body_text
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