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LOCATION:D171
DTSTART;TZID=America/Chicago:20181111T140000
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UID:submissions.supercomputing.org_SC18_sess152@linklings.com
SUMMARY:Fifth International Workshop on Visual Performance Analysis (VPA 1
 8)
DESCRIPTION:PaScal Viewer: A Tool for the Visualization of Parallel Scalab
 ility Trends\n\nTaking advantage of the growing number of cores in superco
 mputers to increase the scalabilty of parallel programs is an increasing c
 hallenge. Many advanced profiling tools have been developed to assist prog
 rammers in the process of analyzing data related to the execution of their
  program. Programmer...\n\n\nAnderson Braulio Nobrega da Silva (Federal In
 stitute of Paraíba, Federal University of Rio Grande do Norte) and Samuel 
 Xavier de Souza (Federal University of Rio Grande do Norte)\n-------------
 --------\nVisualizing Multidimensional Health Status of Data Centers\n\nMo
 nitoring data centers is challenging due to their size, complexity, and dy
 namic nature. This project proposes a visual approach for situational awar
 eness and health monitoring of high-performance computing systems. The vis
 ualization requirements are expanded on the following dimensions: 1) High 
 pe...\n\n\nTommy Dang (Texas Tech University)\n---------------------\nVisu
 al Analytics Challenges in Analyzing Calling Context Trees\n\nPerformance 
 analysis is an integral part of developing and optimizing parallel applica
 tions for high-performance computing (HPC) platforms. Hierarchical data fr
 om different sources is typically available to identify performance issues
  or anomalies. Some hierarchical data such as the calling context ...\n\n\
 nAlexandre Bergel (University of Chile); Abhinav Bhatele and David Boehme 
 (Lawrence Livermore National Laboratory); Patrick Gralka (University of St
 uttgart, Visualization Research Center); Kevin Griffin (Lawrence Livermore
  National Laboratory); Marc-André Hermanns (Forschungszentrum Juelich); Du
 san Okanovic (University of Stuttgart); Olga Pearce (Lawrence Livermore Na
 tional Laboratory); and Tom Vierjahn (RWTH Aachen University; Westphalian 
 University of Applied Sciences, Bocholt)\n---------------------\nVPA18 Key
 note: Not Your Mama’s Angry Fruit Salad: Ruminations on 30 Years of Perfor
 mance Visualization and Visual Performance Analysis\n\nAllen Malony (Unive
 rsity of Oregon)\n---------------------\nIntroduction - Fifth Internationa
 l Workshop on Visual Performance Analysis (VPA 18)\n\nOver the last decade
 s an incredible amount of resources has been devoted to building ever more
  powerful supercomputers. However, exploiting the full capabilities of the
 se machines is becoming exponentially more difficult with each new generat
 ion of hardware. To help understand and optimize the behav...\n\n\nAbhinav
  Bhatele (Lawrence Livermore National Laboratory), Kevin Huck (University 
 of Oregon), and Katherine E. Isaacs (University of Arizona)\n-------------
 --------\nWorkshop Afternoon Break\n---------------------\nUsing Deep Lear
 ning for Automated Communication Pattern Characterization: Little Steps an
 d Big Challenges\n\nCharacterization of a parallel application's communica
 tion patterns can be useful for performance analysis, debugging, and syste
 m design. However, obtaining and interpreting a characterization can be di
 fficult. AChax implements an approach that uses search and a library of kn
 own communication patter...\n\n\nPhilip C. Roth (Oak Ridge National Labora
 tory), Kevin Huck (University of Oregon), Ganesh Gopalakrishnan (Universit
 y of Utah), and Felix Wolf (Technical University Darmstadt)\n\nTag: Data A
 nalytics, Performance, Visualization\n\nRegistration Category: Workshop Re
 g Pass
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