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DTSTART;TZID=America/Chicago:20181112T090000
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UID:submissions.supercomputing.org_SC18_sess140@linklings.com
SUMMARY:ISAV 2018: In Situ Infrastructures for Enabling Extreme-Scale Anal
 ysis and Visualization
DESCRIPTION:PaDaWAn: a Python Infrastructure for Loosely Coupled In Situ W
 orkflows\n\nThis paper presents PaDaWAn, an infrastructure written in Pyth
 on to provide loosely coupled in situ capabilities to accelerate file-base
 d simulation workflows.  It provides services for in-memory data exchange 
 between applications and a simple configuration model to switch from a fil
 e-based workflow...\n\n\nJulien Capul, Sebastien Morais, Jacques-Bernard L
 ekien, and Marc Perache (Atomic Energy and Alternative Energies Commission
  (CEA))\n---------------------\nWorkshop Morning Break\n------------------
 ---\nUnPanel on the State of the In Situ Community\n\nCome join our modera
 tors as we engage in a community discussion about gaps, fundamental resear
 ch opportunities, and the maturity of the community infrastructure.\n\n---
 ------------------\nLeveraging Scalable Event Distribution to Enable Data-
 Driven In Situ Scientific Workflows\n\nNovel event-driven workflow systems
  have been effectively used to increase the performance of large-scale sci
 entific applications by removing most of the implicit synchronization requ
 ired to orchestrate distributed tasks. However, these event-driven workflo
 w systems, by focusing only on events relat...\n\n\nZhe Wang, Anthony Simo
 net, Pradeep Subedi, Philip E. Davis, and Manish Parashar (Rutgers Univers
 ity)\n---------------------\nIn-Transit Molecular Dynamics Analysis with A
 pache Flink\n\nIn this paper, an on-line parallel analytics framework is p
 roposed to process and store in transit all the data being generated by a 
 Molecular Dynamics (MD) simulation run using staging nodes in the same clu
 ster executing the simulation. The implementation and deployment of such a
  parallel workflow ...\n\n\nHenrique Colao and Bruno Raffin (Univ. Grenobl
 e Alpes, Inria, CNRS, Grenoble INP, LIG) and Omar A. Mures and Emilio J. P
 adrón (Universidade da Coruña)\n---------------------\nInvited Talk: Data 
 Science Meets CFD\n\nSteve Legensky (Intelligent Light)\n-----------------
 ----\nISAV 2018 Wrap Up\n---------------------\nKeynote: Perspectives on I
 n Situ\n\nLaura Biven (US Department of Energy Office of Advanced Scientif
 ic Computing Research)\n---------------------\nIntroduction - ISAV 2018: I
 n Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualizati
 on\n\nThe considerable interest in the HPC community regarding in situ ana
 lysis and visualization is due to several factors. First is an I/O cost sa
 vings, where data is analyzed/visualized while being generated, without fi
 rst storing to a filesystem. Second is the potential for increased  accura
 cy, where ...\n\n\nGunther Weber (Lawrence Berkeley National Laboratory; U
 niversity of California, Davis); Patrick O'Leary (Kitware Inc); Nicola Fer
 rier (Argonne National Laboratory, University of Chicago); and Matthew Wol
 f (Oak Ridge National Laboratory)\n---------------------\nIn Situ Data-Dri
 ven Adaptive Sampling for Large-Scale Simulation Data Summarization\n\nRec
 ent advancements in the high-performance computing have enabled the scient
 ists to model various scientific phenomena in great detail. However, the a
 nalysis and visualization of the output data from such large-scale simulat
 ions are posing significant challenges due to the excessive size of output
  ...\n\n\nAyan Biswas, Soumya Dutta, Jesus Pulido, and James Ahrens (Los A
 lamos National Laboratory)\n---------------------\nBest Paper Awards\n----
 -----------------\nLightning Round Questions\n---------------------\nWorks
 hop Lunch (on your own)\n---------------------\nScheduling for In-machine 
 Analytics: Data Size Is Important\n\nWith the goal of performing exascale 
 computing, the importance of I/O management becomes increasingly critical 
 to maintain system performance.  While the computing capacities of machine
 s are getting higher, the I/O capabilities of systems do not follow the sa
 me trend.  To address this issue, the HPC...\n\n\nValentin Honore (Univers
 ity of Bordeaux, French Institute for Research in Computer Science and Aut
 omation (INRIA)) and Guillaume Aupy and Brice Goglin (French Institute for
  Research in Computer Science and Automation (INRIA), University of Bordea
 ux)\n---------------------\nPython-Based In Situ Analysis and Visualizatio
 n\n\nThis work focuses on enabling the use of Python-based methods for the
  purpose of performing in situ analysis and visualization. This approach f
 acilitates access to and use of a rapidly growing collection of Python-bas
 ed, third-party libraries for analysis and visualization, as well as lower
 ing the b...\n\n\nBurlen Loring, Andrew Myers, David Camp, and E. Wes Beth
 el (Lawrence Berkeley National Laboratory)\n---------------------\nA Flexi
 ble System For In Situ Triggers\n\nTriggers are an important mechanism for
  adapting I/O and visualization actions as a simulation runs. We describe 
 the system for triggers in the Ascent in situ infrastructure. This system 
 splits a trigger into two components, when to perform an action and what a
 ctions to perform. The decision for whe...\n\n\nMatthew Larsen and Amy Woo
 ds (Lawrence Livermore National Laboratory), Nicole Marsaglia (University 
 of Oregon), Ayan Biswas and Soumya Dutta (Los Alamos National Laboratory),
  cyrus harrison (Lawrence Livermore National Laboratory), and Hank Childs 
 (University of Oregon)\n---------------------\nlibIS: A Lightweight Librar
 y for Flexible In Transit Visualization\n\nAs simulations grow in scale, t
 he need for in situ analysis methods to handle the large data produced gro
 ws correspondingly. One desirable approach to in situ visualization is in 
 transit visualization.  By decoupling the simulation and visualization cod
 e, in transit approaches alleviate common diffi...\n\n\nWill Usher (SCI In
 situte, University of Utah; Intel Corporation); Silvio Rizzi (Argonne Nati
 onal Laboratory); Ingo Wald and Jefferson Amstutz (Intel Corporation); Joe
  Insley, Venkatram Vishwanath, Nicola Ferrier, and Michael E. Papka (Argon
 ne National Laboratory); and Valerio Pascucci (University of Utah)\n------
 ---------------\nWorkshop Afternoon Break\n\nTag: Data Analytics, Data Man
 agement, Visualization\n\nRegistration Category: Workshop Reg Pass\n\nSess
 ion Chairs: Earl P.N. Duque (Intelligent Light); Nicola Ferrier (Argonne N
 ational Laboratory (ANL), University of Chicago); Kenneth Moreland (Oak Ri
 dge National Laboratory (ORNL)); and Matthew Wolf (Oak Ridge National Labo
 ratory (ORNL))
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