BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260522T150126Z
LOCATION:D171
DTSTART;TZID=America/Chicago:20181111T164500
DTEND;TZID=America/Chicago:20181111T171000
UID:submissions.supercomputing.org_SC18_sess152_ws_vpa102@linklings.com
SUMMARY:PaScal Viewer: A Tool for the Visualization of Parallel Scalabilit
 y Trends
DESCRIPTION:Anderson Braulio Nobrega da Silva (Federal Institute of Paraíb
 a, Federal University of Rio Grande do Norte) and Samuel Xavier de Souza (
 Federal University of Rio Grande do Norte)\n\nTaking advantage of the grow
 ing number of cores in supercomputers to increase the scalabilty of parall
 el programs is an increasing challenge. Many advanced profiling tools have
  been developed to assist programmers in the process of analyzing data rel
 ated to the execution of their program. Programmers can act upon the infor
 mation generated by these data and make their programs reach higher perfor
 mance levels. However, the information provided by profiling tools are gen
 erally designed to optimize the program for a specific execution environme
 nt, with a target number of cores and a target problem size. A code optimi
 zation driven towards scalability rather than specific performance require
 s the analysis of many distinct execution environments instead of details 
 about a single environment. With the goal of providing more useful informa
 tion for the analysis and optimization of code for parallel scalability, t
 his work introduces the PaScal Viewer tool. It presents an novel and produ
 ctive way to visualize scalability trends of parallel programs. It consist
 s of four diagrams that offers visual support to identify parallel efficie
 ncy trends of the whole program, or parts of it, when running on scaling p
 arallel environments with scaling problem sizes.\n\nTag: Data Analytics, P
 erformance, Visualization\n\nRegistration Category: Workshop Reg Pass\n\n
END:VEVENT
END:VCALENDAR