Introduction - ISAV 2017: In Situ Infrastructures for
Enabling Extreme-Scale Analysis and Visualization
Author/Presenters
Event Type
Workshop
Data Analytics
Data management
SIGHPC Workshop
Visualization
TimeSunday, November 12th9am -
9:05am
Location605
DescriptionThe considerable interest in the HPC community
regarding in situ analysis and visualization is due to
several factors. First is an I/O cost savings, where
data is analyzed/visualized while being generated,
without first storing to a filesystem. Second is the
potential for increased accuracy, where fine temporal
sampling of transient analysis might expose some complex
behavior missed in coarse temporal sampling. Third is
the ability to use all available resources, CPU’s and
accelerators, in the computation of analysis products.
The workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories developing, applying, and deploying in situ methods in extreme-scale, high performance computing. The goal is to present research findings, lessons learned, and insights related to developing and applying in situ methods and infrastructure across a range of science and engineering applications in HPC environments; to discuss topics like opportunities presented by new architectures, existing infrastructure needs, requirements, and gaps, and experiences to foster and enable in situ analysis and visualization; to serve as a “center of gravity” for researchers, practitioners, and users/consumers of in situ methods and infrastructure in the HPC space.
The workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories developing, applying, and deploying in situ methods in extreme-scale, high performance computing. The goal is to present research findings, lessons learned, and insights related to developing and applying in situ methods and infrastructure across a range of science and engineering applications in HPC environments; to discuss topics like opportunities presented by new architectures, existing infrastructure needs, requirements, and gaps, and experiences to foster and enable in situ analysis and visualization; to serve as a “center of gravity” for researchers, practitioners, and users/consumers of in situ methods and infrastructure in the HPC space.
