* Info: Detected 1 Lprof instances in ip-172-31-47-199: processes-per-node/ppn set accordingly.
If this is incorrect, rerun with an explicit value for this setting
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* Info: Selecting the 'perf-low-ppn' engine for node ip-172-31-47-199
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* Info: "ref-cycles" not supported on ip-172-31-47-199: fallback to "cpu-clock"[0m
* Info: Process launched (host ip-172-31-47-199, process 56298)[0m
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|_| Version 1.2.4
LLNL-CODE-775068
Copyright (c) 2014-2019, Lawrence Livermore National Security, LLC
Kripke is released under the BSD 3-Clause License, please see the
LICENSE file for the full license
This work was produced under the auspices of the U.S. Department of
Energy by Lawrence Livermore National Laboratory under Contract
DE-AC52-07NA27344.
Author: Adam J. Kunen
Compilation Options:
Architecture: OpenMP
Compiler: /usr/bin/mpic++
Compiler Flags: "-O3 -mcpu=native -g -g -fno-omit-frame-pointer -fcf-protection=none -no-pie -Wall -Wextra "
Linker Flags: " "
CHAI Enabled: No
CUDA Enabled: No
MPI Enabled: Yes
OpenMP Enabled: Yes
Caliper Enabled: No
OpenMP Thread->Core mapping for 1 threads on rank 0
0-> 0
Input Parameters
================
Problem Size:
Zones: 16 x 16 x 16 (4096 total)
Groups: 64
Legendre Order: 4
Quadrature Set: Dummy S2 with 96 points
Physical Properties:
Total X-Sec: sigt=[0.100000, 0.000100, 0.100000]
Scattering X-Sec: sigs=[0.050000, 0.000050, 0.050000]
Solver Options:
Number iterations: 10
MPI Decomposition Options:
Total MPI tasks: 1
Spatial decomp: 1 x 1 x 1 MPI tasks
Block solve method: Sweep
Per-Task Options:
DirSets/Directions: 8 sets, 12 directions/set
GroupSet/Groups: 2 sets, 32 groups/set
Zone Sets: 1 x 1 x 1
Architecture: OpenMP
Data Layout: DGZ
Generating Problem
==================
Decomposition Space: Procs: Subdomains (local/global):
--------------------- ---------- --------------------------
(P) Energy: 1 2 / 2
(Q) Direction: 1 8 / 8
(R) Space: 1 1 / 1
(Rx,Ry,Rz) R in XYZ: 1x1x1 1x1x1 / 1x1x1
(PQR) TOTAL: 1 16 / 16
Material Volumes=[8.789062e+03, 1.177734e+05, 2.753438e+06]
Memory breakdown of Field variables:
Field Variable Num Elements Megabytes
-------------- ------------ ---------
data/sigs 61440 0.469
dx 16 0.000
dy 16 0.000
dz 16 0.000
ell 2400 0.018
ell_plus 2400 0.018
i_plane 1572864 12.000
j_plane 1572864 12.000
k_plane 1572864 12.000
mixelem_to_fraction 4352 0.033
phi 6553600 50.000
phi_out 6553600 50.000
psi 25165824 192.000
quadrature/w 96 0.001
quadrature/xcos 96 0.001
quadrature/ycos 96 0.001
quadrature/zcos 96 0.001
rhs 25165824 192.000
sigt_zonal 262144 2.000
volume 4096 0.031
-------- ------------ ---------
TOTAL 68494704 522.573
Generation Complete!
Steady State Solve
==================
iter 0: particle count=7.487488e+07, change=1.000000e+00
iter 1: particle count=1.125855e+08, change=3.349511e-01
iter 2: particle count=1.313924e+08, change=1.431351e-01
iter 3: particle count=1.407381e+08, change=6.640521e-02
iter 4: particle count=1.453680e+08, change=3.184924e-02
iter 5: particle count=1.476542e+08, change=1.548355e-02
iter 6: particle count=1.487795e+08, change=7.563193e-03
iter 7: particle count=1.493316e+08, change=3.697158e-03
iter 8: particle count=1.496017e+08, change=1.805479e-03
iter 9: particle count=1.497334e+08, change=8.801810e-04
Solver terminated
Timers
======
Timer Count Seconds
---------------- ------------ ------------
Generate 1 0.00311
LPlusTimes 10 1.93109
LTimes 10 2.00030
Population 10 0.19855
Scattering 10 6.60496
Solve 1 13.79378
Source 10 0.00773
SweepSolver 10 2.81594
SweepSubdomain 160 2.77613
TIMER_NAMES:Generate,LPlusTimes,LTimes,Population,Scattering,Solve,Source,SweepSolver,SweepSubdomain
TIMER_DATA:0.003107,1.931088,2.000297,0.198551,6.604963,13.793777,0.007726,2.815938,2.776135
Figures of Merit
================
Throughput: 1.824433e+07 [unknowns/(second/iteration)]
Grind time : 5.481154e-08 [(seconds/iteration)/unknowns]
Sweep efficiency : 98.58650 [100.0 * SweepSubdomain time / SweepSolver time]
Number of unknowns: 25165824
END
* Info: Process finished (host ip-172-31-47-199, process 56298)[0m
Your experiment path is /home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0
To display your profiling results:
###########################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/hbollore/qaas/qaas-runs/169-817-5851/intel/Kripke/run/oneview_runs/orig/oneview_results_1698175954/tools/lprof_npsu_run_0 #
###########################################################################################################################################################################################
