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{{#Wiki_filter:Lessons Learned - Run Optimization xLPR User Group Meeting August 18, 2021 1
 
xLPR Use at Structural Integrity Associates (SI)
* Two xLPR projects at SI thus far:
* Dissimilar Metal (DM) Butt Weld Inspection Optimization (Code Case N-770)
* 24 cases, 100k realizations each case
* Linking traditional leak-before-break (LBB) with probabilistic methods
        * ~16 cases, 800k realizations each case
* 400k per run
* Efficiency is key to meeting deadlines and maintaining budget!
2
 
Run Optimization (Brief Recap)
* Primary goals:
* Reduce run time (more runs in a given timeframe)
* Reduce file size (more realizations per run)
* Reduce overhead in making xLPR runs (reduce time between making runs)
* https://www.epri.com/xlpr/announcements/
for videos/presentations 3
 
Output Settings (1/2)
* Only allow certain outputs to be saved
* Reduce frequency of saved outputs 4
 
Output Settings (2/2) 5
 
Distributed Processing
* Allows realizations to be run in parallel across different slave processes
* GoldSim Pro allows 4 slaves, Distributed Processing has no limit (but should only use # of cores - 1)
* Nearly linear improvement in runtimes (twice the slaves means half the run time)
* GSP Slaves can be opened one at a time in the Run utility 6
 
Desktop Shortcuts and Batch Files (1/3)
* Slaves can also be run as a desktop shortcut 7
 
Desktop Shortcuts and Batch Files (2/3)
* Target: C:\Program Files (x86)\GTG\GoldSim 11.1\GoldSim.exe -s
* Start in: C:\Program Files (x86)\GTG\GoldSim 11.1 8
 
Desktop Shortcuts and Batch Files (3/3)
* A batch file can be made to open multiple slave processes instantaneously
* Replace n with number of slaves to open
* Suggest closing and reopening all slaves between larger runs 9
 
Using Distributed Processing Properly
* Must disable run in separate process
* Class View > External > Double Click each DLL
* Allows each slave to operate independently 10
 
Demonstration 11}}

Latest revision as of 17:12, 18 January 2022

Lessons Learned - Xlpr Run Optimization
ML21230A358
Person / Time
Issue date: 08/18/2021
From:
NRC/RES/DE
To:
Homiack M
Shared Package
ML21230A354 List:
References
Download: ML21230A358 (11)


Text

Lessons Learned - Run Optimization xLPR User Group Meeting August 18, 2021 1

xLPR Use at Structural Integrity Associates (SI)

  • Two xLPR projects at SI thus far:
  • 24 cases, 100k realizations each case
  • Linking traditional leak-before-break (LBB) with probabilistic methods
  • ~16 cases, 800k realizations each case
  • 400k per run
  • Efficiency is key to meeting deadlines and maintaining budget!

2

Run Optimization (Brief Recap)

  • Primary goals:
  • Reduce run time (more runs in a given timeframe)
  • Reduce file size (more realizations per run)
  • Reduce overhead in making xLPR runs (reduce time between making runs)

for videos/presentations 3

Output Settings (1/2)

  • Only allow certain outputs to be saved
  • Reduce frequency of saved outputs 4

Output Settings (2/2) 5

Distributed Processing

  • Allows realizations to be run in parallel across different slave processes
  • GoldSim Pro allows 4 slaves, Distributed Processing has no limit (but should only use # of cores - 1)
  • Nearly linear improvement in runtimes (twice the slaves means half the run time)
  • GSP Slaves can be opened one at a time in the Run utility 6

Desktop Shortcuts and Batch Files (1/3)

  • Slaves can also be run as a desktop shortcut 7

Desktop Shortcuts and Batch Files (2/3)

  • Target: C:\Program Files (x86)\GTG\GoldSim 11.1\GoldSim.exe -s
  • Start in: C:\Program Files (x86)\GTG\GoldSim 11.1 8

Desktop Shortcuts and Batch Files (3/3)

  • A batch file can be made to open multiple slave processes instantaneously
  • Replace n with number of slaves to open
  • Suggest closing and reopening all slaves between larger runs 9

Using Distributed Processing Properly

  • Must disable run in separate process
  • Class View > External > Double Click each DLL
  • Allows each slave to operate independently 10

Demonstration 11