Inshimtu – A Lightweight In Situ Visualization “Shim”

James Kress, Glendon Holst, Hari Prasad Dasari, Shehzad Afzal, Ibrahim Hoteit, Thomas Theussl

Research output: Chapter in Book/Report/Conference proceedingChapter


In situ visualization and analysis is a valuable yet under utilized commodity for the simulation community. There is hesitance or even resistance to adopting new methodologies due to the uncertainties that in situ holds for new users. There is a perceived implementation cost, maintenance cost, risk to simulation fault tolerance, potential lack of scalability, a new resource cost for running in situ processes, and more. The list of reasons why in situ is overlooked is long. We are attempting to break down this barrier by introducing Inshimtu. Inshimtu is an in situ “shim” library that enables users to try in situ before they buy into a full implementation. It does this by working with existing simulation output files, requiring no changes to simulation code. The core visualization component of Inshimtu is ParaView Catalyst, allowing it to take advantage of both interactive and non-interactive visualization pipelines that scale. We envision Inshimtu as stepping stone to show users the value of in situ and motivate them to move to one of the many existing fully-featured in situ libraries available in the community. We demonstrate the functionality of Inshimtu with a scientific workflow on the Shaheen II supercomputer.
Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
PublisherSpringer Nature Switzerland
Number of pages12
ISBN (Print)9783031408427
StatePublished - Aug 25 2023

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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