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DTSTART:19700308T020000
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DTSTAMP:20191206T142522Z
LOCATION:Substanz 1\, 2
DTSTART;TZID=Europe/Stockholm:20180627T110000
DTEND;TZID=Europe/Stockholm:20180627T123000
UID:isc_hpc_ISC High Performance 2018_sess151@linklings.com
SUMMARY:Research Paper Session - Performance Modelling and Measurement II
DESCRIPTION:Research Paper\n\nApplicability of the ECM Performance Model t
 o Explicit ODE Methods on Current Multi-Core Processors\n\nSeiferth, Alapp
 at, Korch, Rauber\n\nTo support the portability of efficiency when bringin
 g an application from scientific computing to a new HPC system, auto
 tuning techniques are promising approaches. Ideally, these approaches are 
 able to derive an efficient implementation for a specific HPC system
  by applying suitable pro...\n\n---------------------\nA Novel Multi-Level
  integrated Roofline Model Approach for Performance Characterization\n\nKo
 skela, Deslippe, Matveev, Adedoyin, Yang...\n\nWith energy-efficient archi
 tectures, including accelerators and many-core processors, gaining tractio
 n, application developers face the challenge of optimizing their applicati
 ons for multiple hardware features including many-core parallelism, wide p
 rocessing vector-units and on-chip high-bandwidth m...\n\n----------------
 -----\nMachine Learning Based Parallel I/O Predictive Modeling: A Case Stu
 dy on Lustre File Systems\n\nMadireddy, Balaprakash, Carns, Robert, Ross..
 .\n\nParallel I/O hardware and software infrastructure is a key contributo
 r to performance variability for applications running on large-scale HPC s
 ystems. This variability confounds efforts to predict application performa
 nce for characterization, modeling, optimization, and job scheduling.  We 
 propose a...\n\n\nPasses: Conference Pass
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