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| computers [2018/08/28 15:29] – gazebo for macos mai | computers [2026/10/22 23:03] (current) – external edit 127.0.0.1 |
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| | Name of the computer | Brand | Operating System | Type of system (bits) | RAM (Go) | Processor | disk memory | hardware | used for | | | Name of the computer | Brand | Operating System | Type of system (bits) | RAM (Go) | Processor | disk memory | hardware | used for | |
| | PC-EQI05710 | Dell Latitude | Windows 7 | 32 | 8 | Intel Core i5-33220M | 214/300 | 2 USB3 ports | Poppy and kinect2 | | | PC-EQI05710 | Dell Latitude | Windows 7 | 32 | 8 | Intel Core i5-33220M | 214/300 | 2 USB3 ports | Poppy and kinect2 | |
| | [[ihsev laptop|ihsev]] | Dell Lattude E6410 | Ubuntu 14.04 LTS | 32 | | Intel Core i5 CPU M 520 | 158 | USB2 only | Nao | | | ihsev | Dell Lattude E6410 | Ubuntu 14.04 LTS | 32 | | Intel Core i5 CPU M 520 | 158 | USB2 only | Nao | |
| | [[greiner]] | Dell PowerEdge | Ubuntu | | 128 | 32 coeurs | 193G | server only. Has 2 [[https://www.nvidia.fr/data-center/tesla-k80/|GPU Nvidia Tesla K80]] | cuda, theano | | | [[computers#greiner|greiner]] | Dell PowerEdge | Ubuntu | | 128 | 32 coeurs | 193G | server only. Has 2 [[https://www.nvidia.fr/data-center/tesla-k80/|GPU Nvidia Tesla K80]] | cuda, theano | |
| | [[gazebo server|gazebo]] | | Ubuntu | 64 | 128 | 32 coeurs | 196G | server only | ROS | | | gazebo | | Ubuntu | 64 | 128 | 32 coeurs | 196G | server only | ROS | |
| | |
| ===== Servers ===== | ===== Servers ===== |
| | 1 93895 C python3 10863MiB | | | 1 93895 C python3 10863MiB | |
| +-----------------------------------------------------------------------------+ | +-----------------------------------------------------------------------------+ |
| | </code> |
| | |
| | Par défaut, Tensorflow alloue l'ensemble de la mémoire GPU au programme, même s'il n'en nécessite que 10%. |
| | Il existe une option permettant d'allouer seulement la mémoire GPU nécessaire. |
| | Il faut ajouter les lignes suivantes: |
| | <code> |
| | config = tf.ConfigProto() |
| | config.gpu_options.allow_growth = True |
| | sess = tf.Session(config=config) |
| | |
| </code> | </code> |
| |
| Xauth username</code> | Xauth username</code> |
| * Then run `sudo vpnc tb` to start the vpn | * Then run `sudo vpnc tb` to start the vpn |
| * On macos, Open up your System Prefrences and select "Network". Click on the little + button at the bottom of the window to create a new connection.Pick "VPN" for the Interface and set the VPN type to "Cisco IPSec". It doesn't matter what you set as the service name. Click on "create". As Server address, input "192.108.116.206" and in teh account name and passwords use your login and password for the school identification. As authentication settings, input the group name "vpnrire" and the shared secret is "rire". | * On macos, Open up your System Preferences and select "Network". Click on the little + button at the bottom of the window to create a new connection.Pick "VPN" for the Interface and set the VPN type to "Cisco IPSec". It doesn't matter what you set as the service name. Click on "create". As Server address, input "192.108.116.206" and in the account name and passwords use your login and password for the school identification. As authentication settings, input the group name "vpnrire" and the shared secret is "rire". |
| * You can now ssh to gazebo like this: | * You can now ssh to gazebo like this: |
| * `ssh -X login@gazebo.enstb.org` | * `ssh -X login@gazebo.enstb.org` |
| |
| Update 20180802: Where is the desktop?? | Update 20180802: Where is the desktop?? |
| | |
| | ==== Backup1 ==== |
| | |
| | To login, you need first to send Jerome or Mai your ssh public key. Then, you can connect by ssh laborobo@backup1.enstb.org |
| | |
| | Contents: |
| | |
| | * VM (Virtual machines) |
| | * UbuntuRobot : Ubuntu virtual machine with gazebo (turtlebot) and ros installed. Description in [[simulatorgazebo|Simulateur Gazebo]] |
| | * Keraal |