Job cannot run on worker in another workstation

Install, Configure and Update
1

Hi,
My cryosparc (single-workstation) was installed in Platanus workstation. Since we recently have built another workstation, Salix, I was hoping to run my jobs also in Salix to reduce the crowds in Platanus.
I was then installed a worker version on Salix and connected to Platanus. With this, when I launched a job in Platanus, I could see the GPUs from Salix. And I tried to run a job using a GPU from Salix. It didn’t run.
There were no errors.

License is valid.
Launching job on lane default target salix.. …
Running job on remote worker node hostname salix..
(It stopped here. The status was “Launched”, but never turn “Running”)

Best,
Ming

2

One possible explanation is that Salix cannot access the project directory at the expected path.
What are the project and job uids of the launched, but not running, job?

3

It’s a local refinement job, P11 J98.

4

@Ming99
Please can you post the outputs of these commands, run on Platanus:

cryosparcm cli "get_scheduler_targets()"
cs_project_dir=$(cryosparcm cli "get_project_dir_abs('P11')")
ssh Salix "hostname && stat -f $cs_project_dir"
5 
[{'cache_path': '/ssd/cryosparc2_cache', 'cache_quota_mb': None, 'cache_reserve_mb': 10000, 'desc': None, 'gpus': [{'id': 0, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 1, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 2, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 3, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 4, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 5, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 6, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 7, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}], 'hostname': 'platanus', 'lane': 'default', 'monitor_port': None, 'name': 'platanus', 'resource_fixed': {'SSD': True}, 'resource_slots': {'CPU': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39], 'GPU': [0, 1, 2, 3, 4, 5, 6, 7], 'RAM': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]}, 'ssh_str': '*@platanus', 'title': 'Worker node platanus', 'type': 'node', 'worker_bin_path': '/data/*/*/software/cryosparc/cryosparc2_worker/bin/cryosparcw'}, {'cache_path': '/ssd/cryosparc2_cache', 'cache_quota_mb': None, 'cache_reserve_mb': 10000, 'desc': None, 'gpus': [{'id': 0, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 1, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 2, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 3, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 4, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 5, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 6, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}, {'id': 7, 'mem': 11546394624, 'name': 'NVIDIA GeForce RTX 2080 Ti'}], 'hostname': 'platanus.*.*.*', 'lane': 'default', 'monitor_port': None, 'name': 'platanus.*.*.*', 'resource_fixed': {'SSD': True}, 'resource_slots': {'CPU': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39], 'GPU': [0, 1, 2, 3, 4, 5, 6, 7], 'RAM': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]}, 'ssh_str': '*@platanus.*.*.*', 'title': 'Worker node platanus.*.*.*', 'type': 'node', 'worker_bin_path': '/data/*/*/software/cryosparc/cryosparc2_worker/bin/cryosparcw'}, {'cache_path': '/ssd/*', 'cache_quota_mb': None, 'cache_reserve_mb': 10000, 'desc': None, 'gpus': [{'id': 0, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}, {'id': 1, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}, {'id': 2, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}, {'id': 3, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}, {'id': 4, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}, {'id': 5, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}, {'id': 6, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}, {'id': 7, 'mem': 25438126080, 'name': 'NVIDIA GeForce RTX 3090'}], 'hostname': 'salix.*.*.*', 'lane': 'default', 'monitor_port': None, 'name': 'salix.*.*.*', 'resource_fixed': {'SSD': True}, 'resource_slots': {'CPU': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95], 'GPU': [0, 1, 2, 3, 4, 5, 6, 7], 'RAM': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47]}, 'ssh_str': '*@salix.*.*.*', 'title': 'Worker node salix.*.*.*', 'type': 'node', 'worker_bin_path': '/data/*/*/cryosparc_worker/bin/cryosparcw'}]

ssh: Could not resolve hostname salix: Name or service not known
6

Please can you re-run the command on platanus

ssh Salix "hostname && stat -f $cs_project_dir"

replacing Salix with whatever the "hostname": value in the get_scheduler_targets() output.

[Edited for correction and clarity]

7

ssh: Could not resolve hostname [{cache_path:: Name or service not known

8

I meant replace Salix in the second command of this sequence

with the actual hostname that is concealed in your earlier post:

The purpose of the command is to confirm that the project directory is correctly shared between the platanus and salix hosts.

9 
salix
stat: cannot read file system information for '/home/*/CS-*': No such file or directory
10

… indicates that your project directory is not correctly shared with host salix. Correct sharing of project directories is a CryoSPARC prerequisite.
I also noticed in the get_scheduler_targets() output duplicate entries for platanus, one under "hostname": "platanus", another under "platanus.*.*.*". If this apparent duplication causes problems, you can remove an unwanted target with the remove_scheduler_target_node() cli function (details).