Different numbers of iterations while running code in different hardware paltform

[Lynkzhang]

I ran AMG on Xeon, KNL and KNM platform, but when I was running on KNM/KNL I find that the numbers of iterations become much more than on Xeon(with same configuration), what's more, when I running with 1 OMP thread per process, the number of iterations will become 0 on KNM/KNL, is there any way(like some flag) to control the number of iteration, or this is a problem of the code?

[ulrikeyang]

That should not happen. I have not observed any such behavior on the various machines where I ran and tested the code, however I never ran it on KNM/KNL. How did you build and run the code?

[Lynkzhang]

Thank you so much for replying me!
Here is how I compile:
source /opt/intel/parallel_studio_xe_2018.1.038/bin/psxevars.sh intel64 export I_MPI_CC=icc export I_MPI_CXX=icpc export I_MPI_F77=ifort export I_MPI_F90=ifort make
for the make file, I added flag: -ipo -xHost

here is how I run this,I am using sde for profile:
mpiexec -host $HOST -genv OMP_NUM_THREADS=1 -n 64 bash -c "/home/Lynkzhang/test/precision/dep/sde-external-8.16.0-2018-01-30-lin/sde64 -sse-sde -global_region -mix_omit_per_thread_stats -mix_omit_per_function_stats -start_ssc_mark 111:repeat -stop_ssc_mark 222:repeat -iform 1 -omix oSDE/"$MPI_LOCALRANKID".txt -knm -- ./test/amg -problem 1 -P 4 4 4 -n 64 64 64"

simply speaking, I am running something like:
mpiexec -host $HOST -genv OMP_NUM_THREADS=1 -n 64 ./amg -problem 1 -P 4 4 4 -n 64 64 64

here is the output:

Running with these driver parameters:
solver ID = 1

Laplacian_27pt:
(Nx, Ny, Nz) = (256, 256, 256)
(Px, Py, Pz) = (4, 4, 4)

=============================================
Generate Matrix:

Spatial Operator:
wall clock time = 17.962424 seconds
wall MFLOPS = 0.000000
cpu clock time = 17.950000 seconds
cpu MFLOPS = 0.000000

RHS vector has unit components
Initial guess is 0

IJ Vector Setup:

RHS and Initial Guess:
wall clock time = 3.546373 seconds
wall MFLOPS = 0.000000
cpu clock time = 3.550000 seconds
cpu MFLOPS = 0.000000

=============================================
Problem 1: AMG Setup Time:

PCG Setup:
wall clock time = 81.694932 seconds
wall MFLOPS = 0.000000
cpu clock time = 81.700000 seconds
cpu MFLOPS = 0.000000

FOM_Setup: nnz_AP / Setup Phase Time: 0.000000e+00

Walltime of the main kernel: 16.958590 sec

Problem 1: AMG-PCG Solve Time:

PCG Solve:
wall clock time = 17.080244 seconds
wall MFLOPS = 0.000000
cpu clock time = 17.090000 seconds
cpu MFLOPS = 0.000000

Iterations = 0
Final Relative Residual Norm = 0.000000e+00

FOM_Solve: nnz_AP * Iterations / Solve Phase Time: 0.000000e+00

Figure of Merit (FOM_1): 1.480463e+06

[Lynkzhang]

The problem is compile on KNM/KNL with flag -xHost. The results become normal after I remove this flag.

[Lynkzhang]

we find that, the code will have problem when it is compiled with AVX512 instruction set (like compile with flag -xMIC-AVX512)

[ulrikeyang]

Can you give me some more information what that means. And what type of problem do you see. From: Lynkzhang <notifications@github.com> Sent: Wednesday, April 11, 2018 12:54 AM To: LLNL/AMG <AMG@noreply.github.com> Cc: Yang, Ulrike Meier <yang11@llnl.gov>; Comment <comment@noreply.github.com> Subject: Re: [LLNL/AMG] Different numbers of iterations while running code in different hardware paltform (#1) we find that, the code will have problem when it is compiled with AVX512 instruction set (like compile with flag -xMIC-AVX512) — You are receiving this because you commented. Reply to this email directly, view it on GitHub<#1 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/APjVrUSXJy8VJRgtV9Xr3t9FgbxEjGj1ks5tnbaGgaJpZM4TJ4FZ>.

[Lynkzhang]

Like I mentioned before, the problem is number of iterations become abnormal.
especially running with one thread per process, the number will be 0.
Under other conditions(like run binary directly ./amg ), the number of iterations will change to a different random number each time.

[ulrikeyang]

What does using -xMIC-AVX512 change?