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DTSTART;TZID=America/Chicago:20181112T133000
DTEND;TZID=America/Chicago:20181112T170000
UID:submissions.supercomputing.org_SC18_sess231_tut106@linklings.com
SUMMARY:Performance Tuning of Scientific Codes with the Roofline Model
DESCRIPTION:Samuel W. Williams (Lawrence Berkeley National Laboratory); Al
 eksandar Ilic (INESC-ID, Portugal); Zakhar Matveev (Intel Corporation); an
 d Charlene Yang (Lawrence Berkeley National Laboratory)\n\nThe Roofline pe
 rformance model offers an insightful and intuitive method for extracting t
 he key execution characteristics of HPC applications and comparing them ag
 ainst the performance ­bounds of modern processors. Its capability to abst
 ract the complexity of modern non-­uniform memory hierarchies and identify
  the most profitable optimization techniques has made Roofline­-based anal
 ysis increasingly popular in the HPC community. Although different flavors
  of the Roofline model have been developed to deal with various definition
 s of memory data movement, there is still a need for a more systematic met
 hodology when applying them to analyze the efficiency of applications runn
 ing on multi- and many­core systems. The tutorial aims to bridge this gap 
 by exposing the fundamental aspects behind different Roofline modeling pri
 nciples and providing several practical use­ case scenarios to highlight t
 heir efficacy for application optimization. This tutorial presents a uniqu
 e and solid combination of novel methodologies applied to optimize a repre
 sentative set of open science use cases, while practice­-oriented, hands-o
 n topics and labs are given by the lead methodology researchers and the ma
 in 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-­based tutorials.\n\nTag: Heterogeneous Systems, Performa
 nce, Tools\n\nRegistration Category: Tutorial Reg Pass\n\n
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