This workshop is held in conjunction with SC16 and is chaired by Wes Bethel, Senior Computer Scientist at Lawrence Berkeley National Laboratory. Intelligent Light's Earl Duque, PhD. serves on the organizing committee and both he and I are members of the program committee for the full day event. The workshop features a series of short papers, presentations and discussions.
The 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 file system. Second, the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third, the ability to use all available resources, CPUs 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.
I am a co-author on this paper to be presented during the workshop, which describes a common interface that can be used to instrument simulations with multiple in situ infrastructures, including Libsim:
The SENSEI Generic In Situ Interface
(Utkarsh Ayachit, Brad Whitlock, Matthew Wolf, Burlen Loring, Berk Geveci, David Lonie and E. Wes Bethel)
The full workshop agenda is available from the ISAV2016 webpage.