DIGITS
Accelerator Server
important
When you use a machine learning environment, please change the current directory to /work_da area and submit the job to CA_001g queue.
Use interactive mode for DIGITS.
$ qsub -I -q CA_001g -v DOCKER_IMAGE=nvidia/digits:6.0
qsub: waiting for job 26322.gpu1 to start
qsub: job 26322.gpu1 ready
~~NOCACHE~~
Access Port:
<proto>://10.1.4.28:6037/ -> container port 5000
<proto>://10.1.4.28:6161/ -> container port 6006
bash-4.2$
Check the port corresponding to “container port 5000”. In the example above, it is 6037.(hereinafter referred to as “port A”)
Port forward any port of your PC to port 22 of gpu2 using new terminal.(hereinafter referred to as “port B”)
$ ssh -L port B:gpu2:22 username@cms-ssh.sc.imr.tohoku.ac.jp
(Example)
$ ssh -L 8022:gpu2:22 userA@cms-ssh.sc.imr.tohoku.ac.jp
Port forward any port of your PC to port of DIGITS using new terminal again.(hereinafter referred to as “port C”)
$ ssh -L port C:10.1.4.28:port A -p port B localhost
(Example)
$ ssh -L 15000:10.1.4.28:6037 -p 8022 localhost
Access the following URL from your PC.
http://localhost:port C
(Example)
http://localhost:15000
The DIGITS screen will appear.
