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DTSTART;TZID=America/Denver:20231112T090000
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UID:submissions.supercomputing.org_SC23_sess419@linklings.com
SUMMARY:5th Workshop on Programming and Performance Visualization Tools (P
 roTools 2023)
DESCRIPTION:Extra-Deep:  Automated Empirical Performance Modeling for Dist
 ributed Deep Learning\n\nWith the rapidly increasing size and complexity o
 f DNNs, equally sophisticated methods are needed to train them efficiently
 , including distributed training and various model/hybrid parallelism appr
 oaches. Even though developers heavily rely on state-of-the-art frameworks
  such as PyTorch and TensorFl...\n\n\nMarcus Ritter and Felix Wolf (Techni
 cal University of Darmstadt)\n---------------------\nProTools 2023 – Morni
 ng Break\n---------------------\nAn Event Model for Trace-Based Performanc
 e Analysis of MPI Partitioned Point-to-Point Communication\n\nThe MPI 4.0 
 standard introduced the concept of partitioned point-to-point communicatio
 n.  One facet that may help in encouraging application developers to use t
 his new concept in their programs is the availability of proper tool suppo
 rt in a timely manner.  We therefore propose nine new events exten...\n\n\
 nIsabel Thärigen and Marc-André Hermanns (RWTH Aachen University) and Mark
 us Geimer (Forschungszentrum Jülich)\n---------------------\nFiltering and
  Ranking of Code Regions for Parallelization via Hotspot Detection and Ope
 nMP Overhead Analysis\n\nMany high-performance computing applications reac
 h millions of code lines and hundreds of code regions. Analyzing all code 
 regions for parallelization with OpenMP is neither efficient nor necessary
 . To facilitate this task and minimize the effort by the user, the code re
 gions of the application need...\n\n\nSeyed Ali Mohammadi, Lukas Rothenber
 ger, Gustavo de Morais, Bertin Nico Görlich, Erik Lille, Hendrik Rüthers, 
 and Felix Wolf (Technical University of Darmstadt)\n---------------------\
 nEnabling Agile Analysis of I/O Performance Data with PyDarshan\n\nModern 
 scientific applications utilize numerous software and hardware layers to e
 fficiently access data. This approach poses a challenge for I/O optimizati
 on because of the need to instrument and correlate information across thos
 e layers. The Darshan characterization tool seeks to address this chall...
 \n\n\nJakob Luettgau (French Institute for Research in Computer Science an
 d Automation (INRIA)); Shane Snyder (Argonne National Laboratory (ANL)); T
 yler Reddy and Nikolaus Awtrey (Los Alamos National Laboratory (LANL)); Ke
 vin Harms (Argonne National Laboratory (ANL)); Jean Bez (Lawrence Berkeley
  National Laboratory (LBNL)); and Rui Wang, Rob Latham, and Philip Carns (
 Argonne National Laboratory (ANL))\n---------------------\nGPUscout: Locat
 ing Data Movement-Related Bottlenecks on GPUs\n\nGPUs pose an attractive o
 pportunity for delivering high-performance applications. However, GPU code
 s are often limited due to memory contention, resulting in overall perform
 ance degradation. Since GPU scheduling is transparent to the user, and GPU
  memory architectures are very complex compared to on...\n\n\nSoumya Sen, 
 Stepan Vanecek, and Martin Schulz (Technical University of Munich)\n------
 ---------------\nFROOM:  A Framework of Operators for OTF2 Modification\n\
 nIn recent years, High Performance Computing (HPC) has become increasingly
  important for many industries and research areas besides ‘classic’ applic
 ations.  As new domains emerge, applications, implementations and framewor
 ks become more diverse. Generic performance analysis tools often ca...\n\n
 \nJan Frenzel, Apurv Kulkarni, and Sebastian Döbel (Technical University D
 resden); Bert Wesarg and Maximilian Knespel (GWT-TUD GmbH); and Holger Bru
 nst (Technical University Dresden)\n---------------------\nInvited Talk: U
 sing XDMoD for HPC Performance and Quality-of-Service Analysis\n\nNikolay 
 Simakov (SUNY University at Buffalo)\n\nTag: Performance Measurement, Mode
 ling, and Tools, Programming Frameworks and System Software\n\nRegistratio
 n Category: Workshop Reg Pass\n\nSession Chairs: David Boehme (Lawrence Li
 vermore National Laboratory (LLNL)), Anthony Danalis (AMD), and Josef Weid
 endorfer (Dresden University of Technology)
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