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DTSTART:19700308T020000
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DTSTAMP:20191206T142523Z
LOCATION:Substanz 1\, 2
DTSTART;TZID=Europe/Stockholm:20180627T083000
DTEND;TZID=Europe/Stockholm:20180627T100000
UID:isc_hpc_ISC High Performance 2018_sess161@linklings.com
SUMMARY:Research Paper Session - Performance Modelling and Measurement I
DESCRIPTION:Research Paper\n\nThe Pitfalls of Provisioning Exascale Networ
 ks: A Trace Replay Analysis for Understanding Communication Performance\n\
 nKenny, Knight, Sargsyan, Wilke, Michelogiannakis\n\nData movement is cons
 idered the main performance concern for exascale, including both on-node m
 emory and off-node network communication.  Indeed, many application traces
  show significant time spent in MPI calls, potentially indicating that fas
 ter networks must be provisioned for scalability.\nHowever...\n\n---------
 ------------\nZeno: A Straggler Diagnosis System for Distributed Computing
  Using Machine Learning\n\nShen, Li\n\nModern distributed computing framew
 orks for cloud computing\nand high performance computing typically acceler
 ate job performance\nby dividing a large job into small tasks for executio
 n parallelism.\nSome tasks, however, may run far behind others, jeopardizi
 ng the job\ncompletion time. In this paper, we ...\n\n--------------------
 -\nHardware Performance Variation: A Comparative Study using Lightweight K
 ernels\n\nWeisbach, Kocoloski, Ishikawa, Härtig, Gerofi\n\nImbalance among
  components of large scale parallel simulations can adversely affect overa
 ll application performance. Software induced imbalance has been extensivel
 y studied in the past, however, there is a growing interest in characteriz
 ing and understanding another source of variability, the one in...\n\n\nPa
 sses: Conference Pass
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