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DTSTAMP:20210402T160559Z
LOCATION:Track 7
DTSTART;TZID=America/New_York:20201112T100000
DTEND;TZID=America/New_York:20201112T180200
UID:submissions.supercomputing.org_SC20_sess213@linklings.com
SUMMARY:ISAV 2020: In Situ Infrastructures for Enabling Extreme-Scale Anal
 ysis and Visualization
DESCRIPTION:Workshop\n\nJIT’s Complicated: A Comprehensive System for Deri
 ved Field Generation\n\nIbarhim, Harrison, Larsen\n\nDerived field calcula
 tions are a vital part of the visualization and analysis workflow. These c
 alculations allow simulation users to create important quantities of inter
 est that are not generated by the simulation, and systems that calculate d
 erived quantities must be flexible enough to accommodate ...\n\n----------
 -----------\nAn Architecture for Interactive In Situ Visualization and Its
  Transparent Implementation in OpenFPM\n\nGupta, Incardona, Aydin, Gumhold
 , Günther...\n\nLive in situ visualization of numerical simulations; inter
 active visualization while the simulation is running;  can enable new mode
 s of interaction, including computational steering. Designing easy-to-use 
 distributed in situ architectures, with viewing latency low enough and fra
 me rate high enough ...\n\n---------------------\nISAV 2020 – Introduction
 : In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualiz
 ation\n\nBethel, Rizzi, Garth, Raffin, Ziegeler...\n\nAs HPC platforms inc
 rease in size and complexity, one significant challenge is the widening ga
 p between computational capacity and our ability to store data for subsequ
 ent analysis. One promising approach is to perform as much analysis as pos
 sible while computed data is still resident in memory, an ...\n\n---------
 ------------\nIn Situ and Post-Processing Volume Rendering with Cinema\n\n
 Bauer, Abras, Hariharan\n\nWe present a new batch volume rendering techniq
 ue which alleviates the time and expertise needed by the domain scientist 
 in order to produce quality volume rendered results. This process can be d
 one both in situ and as a post-processing step. The advantage of performin
 g this as an in situ process is...\n\n---------------------\nPersonalized 
 In Situ steering for Analysis and Visualization\n\nGrosset, Pulido, Ahrens
 \n\nIn situ analysis is now commonly used in many simulations. Prior to th
 e simulation being run, the user specifies what in situ analysis should be
  run and the results of that analysis are saved to disk while the simulati
 on is running. It is, however, sometimes hard to know what analysis to run
  before ...\n\n---------------------\nChimbuko: A Workflow-Level Scalable 
 Performance Trace Analysis Tool\n\nKelly, Ha, Huck, Van Dam, Pouchard...\n
 \nDue to the sheer volume of data, it is typically impractical to analyze 
 the detailed performance of an HPC application running at-scale. While con
 ventional small-scale benchmarking and scaling studies are often sufficien
 t for simple applications, many modern workflow-based applications couple 
 multip...\n\n---------------------\nIn Situ Temporal Caching\n\nDeMarle\n\
 nIn certain simulation analyses, events may occur which justify further in
  situ processing. Sometimes, however, when the events do occur the phenome
 non of interest is the physics that precipitated the events and this may b
 e the key insight into understanding the phenomenon that is being simulate
 d. In...\n\n---------------------\nISAV 2020 – Best Paper Award\n\nRaffin\
 n\n---------------------\nISAV 2020 – Closing Remarks\n\nRaffin\n\n-------
 --------------\nThe Challenges of In Situ Analysis for Multiple Simulation
 s\n\nRibes, Raffin\n\nIn situ analysis and visualization have mainly been 
 applied to the output of a single large-scale simulation. Topics involving
  the execution of multiple simulations in supercomputers, however, have on
 ly received minimal attention so far. Some important examples are uncertai
 nty quantification, data a...\n\n---------------------\nBenchmarking In Si
 tu Triggers Via Reconstruction Error\n\nKawakami, Marsaglia, Larsen, Child
 s\n\nThis work considers evaluating in situ triggers using reconstruction 
 error. Our experiments consider data from the Nyx and Cloverleaf simulatio
 n codes, and focus on two key topics. The first topic aims to increase und
 erstanding of total reconstruction error, both with respect to the impact 
 of adding...\n\n---------------------\nISAV 2020 – Opening\n\nGarth\n\n---
 ------------------\nISAV 2020 – Break\n\n\n\n---------------------\nISAV 2
 020 – Panel: In Situ – Experiences from the Trenches\n\nGarth, Rübel, Pugm
 ire, Randles, Insley...\n\n---------------------\nISAV 2020 – Break\n\n\n\
 n---------------------\nISAV 2020 – Break\n\n\n\n---------------------\nKe
 ynote: Uses of In Situ/In Transit Methods in Large-Scale Modeling of Plasm
 a-Based Particle Accelerators\n\nVay, Huebl\n\n\nRegistration Category: Wo
 rkshop Reg Pass
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