In order to improve the visualization environment of the supercomputer, we have started offering a server equipped with GPU experimentally from December 2018.
The GPU server provided by the Academic Center for Computing and Media Studies, Kyoto University (ACCMS) is constructed in compliance with the system B/C environment, it is supposed to be used from system B/C.
It is also possible to use it from system A, but applications that can be used are limited to those that can be used in system B/C, and some applications compiled with System A will not work. Please understand beforehand that there is a risk of problems.
GPU servers provided by the ACCMS are as follows.
|CPU||Intel (R) Xeon (R) Gold 6140 2.30 GHz (18 cores) x 2|
|Equipped GPU||NVIDIA Quadro P4000 (8 GB GDDR5) x 2|
|CPU||Intel(R) Xeon(R) Silver 4110 2.10GHz (8 cores) x 2|
|Equipped GPU||NVIDIA Quadro V100 (32 GB HBM2) x 2|
The GPU server can be used from the login nodes of the systems A , B and C.
Please log in to the login node referring to Access.
There is no particular application for using the GPU server, and any supercomputer user can use it.
When you run an application using the GPU server, you need to log in to the login node and execute it using the xrun command.
By specifying the -gpu option and the command you want to execute on the xrun command, the program can be executed on the GPU server.
|xrun -gpu||Execute GUI program on GPU server||Available only with X server software such as Exceed onDemand.|
$ module load mathematica $ xrun -gpu mathematica [VGL] NOTICE: Automatically setting VGL_CLIENT environment variable to [VGL] 10.11.0.9, the IP address of your SSH client. （X application launches.）
|xrun -gpu -module ModuleName||Execute GUI program on GPU server||Available only with X server software such as Exceed onDemand．|
$ xrun -gpu -module mathematica mathematica [VGL] NOTICE: Automatically setting VGL_CLIENT environment variable to [VGL] 10.11.0.11, the IP address of your SSH client. （X application launches.）
When executing a program using the GPU server, the options available with the xrun command are as follows.
|Option||Required / Not required||Description|
|-gpu||Required||Declaration for executing programs using GPU server|
|-module ModuleName||Option (System A)
Not Available(System B/C)
|When executing a program using the GPU server from the system A, it is necessary to specify system B/C module.|
|-W HOUR:MINUTES||Option||Specification of the upper limit of the elapsed time (hour: minute)
The elapsed time standard is 1 hour (1: 00), and it can be specified up to 24 hours (24: 00).
When executing a program using the GPU server, the following restrictions apply.
The GPU server is currently composed of one node.
Regardless of the course under contract, all users share the node and use it. When it exceeds the acceptance upper limit of the GPU server, it shows that it is busy and the program ends.
Number of available CPU cores
The number of CPU cores that each user can simultaneously use is 4 core and it can not be changed.
Amount of memory available
The amount of memory that each user can simultaneously use is 32 GB and it can not be changed.
Program elapsed time limit
When executing a program using the GPU server, the program is forcibly terminated if the elapsed time exceeds the standard limit (1 hour).
-You can increase the time to the upper limit (24 hours) by specifying the W option.