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DTSTAMP:20181221T160905Z
LOCATION:D171
DTSTART;TZID=America/Chicago:20181111T140000
DTEND;TZID=America/Chicago:20181111T173000
UID:submissions.supercomputing.org_SC18_sess152@linklings.com
SUMMARY:Fifth International Workshop on Visual Performance Analysis (VPA 1
 8)
DESCRIPTION:Workshop\nData Analytics, Performance, Visualization, Workshop
  Reg Pass\n\nIntroduction - Fifth International Workshop on Visual Perform
 ance Analysis (VPA 18)\n\nBhatele, Huck, Isaacs\n\nOver the last decades a
 n incredible amount of resources has been devoted to building ever more po
 werful supercomputers. However, exploiting the full capabilities of these 
 machines is becoming exponentially more difficult with each new generation
  of hardware. To help understand and optimize the behav...\n\n------------
 ---------\nVisual Analytics Challenges in Analyzing Calling Context Trees\
 n\nBergel, Bhatele, Boehme, Gralka, Griffin...\n\nPerformance analysis is 
 an integral part of developing and optimizing parallel applications for hi
 gh-performance computing (HPC) platforms. Hierarchical data from different
  sources is typically available to identify performance issues or anomalie
 s. Some hierarchical data such as the calling context ...\n\n-------------
 --------\nPaScal Viewer: A Tool for the Visualization of Parallel Scalabil
 ity Trends\n\nNobrega da Silva, Xavier de Souza\n\nTaking advantage of the
  growing number of cores in supercomputers to increase the scalabilty of p
 arallel programs is an increasing challenge. Many advanced profiling tools
  have been developed to assist programmers in the process of analyzing dat
 a related to the execution of their program. Programmer...\n\n------------
 ---------\nWorkshop Afternoon Break\n\n\n\n---------------------\nVPA18 Ke
 ynote: Not Your Mama’s Angry Fruit Salad: Ruminations on 30 Years of Perfo
 rmance Visualization and Visual Performance Analysis\n\nMalony\n\n--------
 -------------\nVisualizing Multidimensional Health Status of Data Centers\
 n\nDang\n\nMonitoring data centers is challenging due to their size, compl
 exity, and dynamic nature. This project proposes a visual approach for sit
 uational awareness and health monitoring of high-performance computing sys
 tems. The visualization requirements are expanded on the following dimensi
 ons: 1) High pe...\n\n---------------------\nUsing Deep Learning for Autom
 ated Communication Pattern Characterization: Little Steps and Big Challeng
 es\n\nRoth, Huck, Gopalakrishnan, Wolf\n\nCharacterization of a parallel a
 pplication's communication patterns can be useful for performance analysis
 , debugging, and system design. However, obtaining and interpreting a char
 acterization can be difficult. AChax implements an approach that uses sear
 ch and a library of known communication patter...\n
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