Instructions for running CORHEL-AMCG on AWS -------------------------------------------

All activities on the AWS GPU instance should be done as the "psi" user. To become "psi", use the command: "sudo -u psi -s"

The PSI CORHEL environment will automatically be loaded when becoming the "psi" user (through the script /data/psi/load_psi_gpu_env that is sourced in the "psi" user's .bashrc)

In the following instructions, [NEXT] = Click the "Next" button

1) Load interface web site in browser: https://corhel-dev.ccmc.mysmce.com/thermo_webapps/thermo_designer Enter name, e-mail, and daily session number (use 1) [NEXT]

2) On Step Overview page, click "Enter Step 1"

3) In this guide, we are assuming there is no pre-existing MHD background run for the event under study, so on the "Map Selection" page, select "Create a new map..."

4) Select/enter date and time of event, then select the map source (HMI is default) [NEXT]

5) Select the event location (active region (AR)) by drawing a box around it [NEXT]

============= ZERO BETA FLUX ROPES =================================

6) In "Step Overview", now click "Enter Step 2"

7) Click "Active Region 1"

8) After a brief calculation, the polarity inversion lines (PILs) for the AR should be shown

9) Select a point at the desired start location of the PIL, then select a 2nd point at the desired end point. [NEXT]

10) Use the tool tips as a guide to design/construct the RBSL flux rope (This is a long step) [NEXT]

11) Now you are back to the page from step (7) but the "Active Region 1" should be green. [NEXT]

12) The "Zero-Beta Simulation" page will automatically start generating the run tar file for download. Wait for it to complete (the "Download Zero-Beta Archive" button will appear). - Click the button to download the run tar ball. You are free to rename the file. - Also click the "Download Saveset" button to save the saveset tar ball (you are also free to rename this file). - The saveset tar file should be downloadable to the user. - The run tar ball should be sent to the GPU AWS instance (either through sending it to the /data drive or placing it in the /share drive which is accessible to the GPU instance.) In this test case, I placed the run tar ball into a folder /data/psi/corhel_amcg_runs//

13) Once the run tar ball is on the AWS GPU instance, - navigate to that directory (as the psi user) and launch the run with the command:

nohup corunpy archive_file=_zb.tar nprocs=8 num_procs_node=8 wc_limit=06:00:00 overwrite=1 > _zb.log &

- After launching the job, the _zb.log should look like:

CORUNPY is launching the run...

Running CORHEL with command: corhel -cr_ut 2022-01-29T23:32 -res custom -name caplanr_at_predsci.com_20230208_10_zb_multi -model cme -cme_model zb -cme_nprocs 8 -cme_wc_limit 06:00:00 -cme_archive_dir /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_zb_multi_launch/archive_zb

- After a brief setup time, the run should be seen to be running on the GPUs with the "nvidia-smi" command. For example: +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 21795 C .../tools/ps_fortran/bin/mas 910MiB | | 1 N/A N/A 21796 C .../tools/ps_fortran/bin/mas 910MiB | | 2 N/A N/A 21797 C .../tools/ps_fortran/bin/mas 908MiB | | 3 N/A N/A 21798 C .../tools/ps_fortran/bin/mas 908MiB | | 4 N/A N/A 21799 C .../tools/ps_fortran/bin/mas 908MiB | | 5 N/A N/A 21800 C .../tools/ps_fortran/bin/mas 908MiB | | 6 N/A N/A 21801 C .../tools/ps_fortran/bin/mas 904MiB | | 7 N/A N/A 21802 C .../tools/ps_fortran/bin/mas 904MiB | +-----------------------------------------------------------------------------+

14) When the run is done, the _zb.log file should contain something like:

CORHEL run completed!

Submission directory: /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_zb_multi_launch

Simulation run directory: /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_zb_multi

- One could use the line "CORHEL run completed!" as a way of detecting when the run is completed, or one can check the process "corunpy" is complete.

15) The zero beta run report tar ball is located in the "Simulation run directory" listed in the log file. - Copy the report tar ball to a location on the /share drive (possibly renaming it as needed). For example:

cp /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_zb_multi/caplanr_at_predsci.com_20230208_10_zb_multi_zero_beta_report.tar.gz /share/psi/corhel_runs/

- This file needs to be unpacked and the html accessible for the user to view through the CCMC website.

16) Pack up the full simulation run directory into a tar file, and transfer it to S3.

17) Clean up the CORHEL run folder on /data (delete all folders in /data/psi/corhel/run/*)

18) After viewing the report, the user (likely) may want to change the rope and try again. - Go to the interface website and start a new daily session number (in this case, 2) but this time, select the saveset tar ball in the "Restore a previously saved session" section. 19) Click through step 1 again, (all previously selected parameters are already set), and modify the AR region if desired.

20) Go to step 2 as above, and make changes to the rope.

21) As before, at the end of step 2, download/store the new run tar ball, and download the new saveset tar ball (which the user should receive).

22) As before, run the new zero-beta simulation on the AWS GPU instance, transfer the report tar file to /share, provide the report to the user, save the simulation run data to S3, and then clean up the CORHEL run folder.

23) Repeat steps (18)-(22) as often as the user desires.

============= THERMODYNAMIC BACKGROUND =================================

24) Load interface web site in browser, set a new session number, and select the most recent (or chosen flux rope) saveset [NEXT] [NEXT] [NEXT]

25) On Step Overview page, click "Enter Step 3"

26) Select either Heating model 1 or Heating model 2 [NEXT]

27) On the "Background Simulation" page, the run tar ball will be generating. When it is done (the "Download Background Archive" button appears), - download/store the run tar ball - Download the saveset and provide it to the user.

28) Once the run tar ball is on the AWS GPU instance (in the same manner to the zero beta runs above), - navigate to that directory (as the psi user) and launch the run with the command:

nohup corunpy archive_file=_bg.tar nprocs=8 num_procs_node=8 wc_limit=48:00:00 overwrite=1 > _bg.log &

- After launching the job, the _bg.log should look like:

CORUNPY is launching the run...

Running CORHEL with command: corhel -cr_ut 2022-01-29T23:32 -cor_mas_slund 5000.0000 -cor_mas_visc 0.0020 -model corhel -res custom -cor_mas_nprocs 8 -cor_mas_mesh_file thermo/mesh_header.dat -cor_bc_br0_file thermo/br_final_tp.hdf -cor_bc_br0_file_origin thermo/br_parent_tp.hdf -cor_bc_obs hmi -cor_model mast -cor_mas_heat_model 2 -hel_masip_nprocs 8 -hel_masip_nr 501 -hel_masip_nt 181 -hel_masip_np 361 -hel_bc_type mhdfull -hel_masip_r0 28.0 -name caplanr_at_predsci.com_20230207_1_bg -cme_archive_dir /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230207_1_bg_launch/thermo

- After a brief setup time, the run should be seen to be running on the GPUs with the "nvidia-smi" command as above.

29) When the run is done, the _bg.log file should contain something like:

CORHEL run completed!

Submission directory: /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230207_1_bg_launch

Simulation run directory: /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230207_1_bg

The run has completed, please use the following command to package the run into a tar file to upload to the interface for the next step:

corhel_make_tar_thermo_ui.sh -run_dir /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230207_1_bg

31) The thermodynamic background run needs to be tarred up to be uploaded to the interface. - To do this, follow the command in the log file For example:

corhel_make_tar_thermo_ui.sh -run_dir /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230207_1_bg

- The tar file is created in the location where the above command is run. - Transfer this tar file to the /share folder where the background runs will "live".

32) The background run report tar ball is located in the "Simulation run directory" listed in the log file. - Copy the report tar ball to a location on the /share drive (possibly renaming it as needed). For example:

cp /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230207_1_bg/caplanr_at_predsci.com_20230207_1_bg_thermobg_report.tar.gz /share/psi/corhel_runs/

- This file needs to be unpacked and the html accessible for the user to view through the CCMC website.

33) Pack up the full simulation run directory into a tar file, and transfer it to S3.

34) Clean up the CORHEL run folder on /data (delete all folders in /data/psi/corhel/run/*)

35) Go back to the interface and select a new session number, and select the saveset tar file from step (27)

36) Enter step 1, and now select "Load map from an existing...." [NEXT]

37) Go to the "Upload my own CORHEL Run" and select the packaged background run tar file from step (31) - Note that this step may change since the file is in the /share folder already. This requires some development to allow the interface to auto-detect (or have a manual script) that unpacks and lists the background run. 38) After the background run tar file is uploaded (or loaded) it should show up in the list of "Select Existing CORHEL Run"

============= THERMODYNAMIC CME SIMULATION =================================

39) Load interface web site in browser, select a new session number, and load the latest saveset tar file [NEXT]

40) Go to step 1 and select "Load map from an existing..." [NEXT]

41) In the list of runs, select the thermo background run uploaded in step (38) [NEXT] [NEXT]

42) Go to Step 2, click into the active region designer and go through each page with [NEXT] until you arrive at the "Step Overview" page again.

43) Go to Step 4, On the "CME Simulation" page, the run tar ball will be generating. When it is done (the "Download CME Archive" button appears), - Download/store the run tar ball to /share - Download the saveset and provide it to the user.

44) Once the run tar ball is on the AWS GPU instance (in the same manner as the runs above), - Navigate to that directory (as the psi user) and launch the run with the command:

nohup corunpy archive_file=_cme.tar nprocs=8 num_procs_node=8 wc_limit=90:00:00 overwrite=1 > _cme.log &

- After launching the job, the _cme.log should look like:

CORUNPY is launching the run...

Running CORHEL with command: corhel -cr_ut 2022-01-29T23:32 -res custom -name caplanr_at_predsci.com_20230208_10_cme -model cme -cme_model thermo -cme_nprocs 8 -cme_wc_limit 90:00:00 -cme_archive_dir /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_cme_launch/archive_cme

45) When the run is done (~20-40 hours), the _cme.log file should contain something like:

CORHEL run completed!

Submission directory: /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_cme_launch

Simulation run directory: /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_cme

CORUNPY done!

46) The CME run report tar ball is located in the "Simulation run directory" listed in the log file. - Copy the report tar ball to a location on the /share drive (possibly renaming it as needed). For example:

cp /data/psi/corhel/run/ut202201292332-custom/caplanr_at_predsci.com_20230208_10_cme/caplanr_at_predsci.com_20230208_10_cme_thermocme_report.tar.gz /share/psi/corhel_runs/

- This file needs to be unpacked and the html accessible for the user to view through the CCMC website.

47) Pack up the full simulation run directory into a tar file, and transfer it to S3.

48) Clean up the CORHEL run folder on /data (delete all folders in /data/psi/corhel/run/*)