title: VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures.
abstract: One of the most critical challenges for high-performance computing (HPC) scientific visualization is execution on massively threaded processors. Of the many fundamental changes we are seeing in HPC systems, one of the most profound is a reliance on new processor types optimized for execution bandwidth over latency hiding. Our current production scientific visualization software is not designed for these new types of architectures. To address this issue, the VTK-m framework serves as a container for algorithms, provides flexible data representation, and simplifies the design of visualization algorithms on new and future computer architecture.
authors.forename: Kenneth
authors.initials: K
authors.lastname: Moreland
authors.forename: Christopher
authors.initials: C
authors.lastname: Sewell
authors.forename: William
authors.initials: W
authors.lastname: Usher
authors.forename: Li-Ta
authors.initials: LT
authors.lastname: Lo
authors.forename: Jeremy
authors.initials: J
authors.lastname: Meredith
authors.forename: David
authors.initials: D
authors.lastname: Pugmire
authors.forename: James
authors.initials: J
authors.lastname: Kress
authors.forename: Hendrik
authors.initials: H
authors.lastname: Schroots
authors.forename: Kwan-Liu
authors.initials: KL
authors.lastname: Ma
authors.forename: Hank
authors.initials: H
authors.lastname: Childs
authors.forename: Matthew
authors.initials: M
authors.lastname: Larsen
authors.forename: Chun-Ming
authors.initials: CM
authors.lastname: Chen
authors.forename: Robert
authors.initials: R
authors.lastname: Maynard
authors.forename: Berk
authors.initials: B
authors.lastname: Geveci