title: Freeprocessing: Transparentin situvisualization via data interception.
abstract: In situ visualization has become a popular method for avoiding the slowest component of many visualization pipelines: reading data from disk. Most previous in situ work has focused on achieving visualization scalability on par with simulation codes, or on the data movement concerns that become prevalent at extreme scales. In this work, we consider in situ analysis with respect to ease of use and programmability. We describe an abstraction that opens up new applications for in situ visualization, and demonstrate that this abstraction and an expanded set of use cases can be realized without a performance cost.
authors.forename: Thomas
authors.initials: T
authors.lastname: Fogal
authors.forename: Fabian
authors.initials: F
authors.lastname: Proch
authors.forename: Alexander
authors.initials: A
authors.lastname: Schiewe
authors.forename: Olaf
authors.initials: O
authors.lastname: Hasemann
authors.forename: Andreas
authors.initials: A
authors.lastname: Kempf
authors.forename: Jens
authors.initials: J
authors.lastname: Krüger