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DTSTART:19700308T020000
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DTSTAMP:20181221T160903Z
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DTSTART;TZID=America/Chicago:20181112T133000
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UID:submissions.supercomputing.org_SC18_sess231_tut106@linklings.com
SUMMARY:Performance Tuning of Scientific Codes with the Roofline Model
DESCRIPTION:Tutorial\nHeterogeneous Systems, Performance, Tools, Tutorial 
 Reg Pass\n\nPerformance Tuning of Scientific Codes with the Roofline Model
 \n\nWilliams, Ilic, Matveev, Yang\n\nThe Roofline performance model offers
  an insightful and intuitive method for extracting the key execution chara
 cteristics of HPC applications and comparing them against the performance 
 ­bounds of modern processors. Its capability to abstract the complexity of
  modern non-­uniform memory hierarchies and identify the most profitable o
 ptimization techniques has made Roofline­-based analysis increasingly popu
 lar in the HPC community. Although different flavors of the Roofline model
  have been developed to deal with various definitions of memory data movem
 ent, there is still a need for a more systematic methodology when applying
  them to analyze the efficiency of applications running on multi- and many
 ­core systems. The tutorial aims to bridge this gap by exposing the fundam
 ental aspects behind different Roofline modeling principles and providing 
 several practical use­ case scenarios to highlight their efficacy for appl
 ication optimization. This tutorial presents a unique and solid combinatio
 n of novel methodologies applied to optimize a representative set of open 
 science use cases, while practice­-oriented, hands-on topics and labs are 
 given by the lead methodology researchers and the main designer of Intel’s
  Roofline automation tools. The tutorial presenters have a long history of
  working with the Roofline model and have presented several Roofline-­base
 d tutorials.
URL:https://sc18.supercomputing.org/presentation/?id=tut106&sess=sess231
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