Dynamo in Amazon EC2 - Revision history

Daniel Castaño: /* Setting the terminal */

2017-10-23T08:56:23Z

Setting the terminal

2017-10-23T08:56:09Z

Setting the terminal

2017-09-21T17:09:10Z

Launching an instance

2017-09-21T12:44:01Z

Running Dynamo projects

2017-09-21T12:18:58Z

Launching an instance

2017-09-21T12:10:30Z

2017-09-21T12:05:00Z

Configuring an instance

2017-09-21T11:55:59Z

Connecting to the instance

2017-09-21T11:55:16Z

Launching an instance

2017-09-21T11:54:11Z

Launching an instance

@@ Line 136: / Line 136: @@
 After that, we need to unfold the project to make the changes permanent
-<tt>Dynamo >  dvunfold </tt>
+ <tt>Dynamo >  dvunfold </tt>
 execute from the command line of the terminal (outside of the ''Dynamo'' prompt  <tt>Dynamo > </tt> )

@@ Line 126: / Line 126: @@
   <tt>Dynamo >  dtutorial mytest -p pgpu </tt>
-Then we adapt it for running in the GPU
+Then we adapt it for running in the GPU:
   <tt>Dynamo >  dvput pgpu dst standalone_gpu </tt>
-After that, we execute from the command line of the terminal (outside of the ''Dynamo'' prompt  <tt>Dynamo > </tt> )
+We can also select the GPU identifiers:
   <tt>./pgpu.exe</tt>

@@ Line 72: / Line 72: @@
 [[File:Ec2runningInstancesDashboard.png |thumb|center|700px|Running instances in dashboard ]]
- to control the current status of the instance you just launched
+to control the current status of the instance you just launched
 [[ File:Ec2InstanceManager.png|thumb|center|700px|Management of instances]]

@@ Line 98: / Line 98: @@
 === Copying  Dynamo ===
-In your local machine:
+First, you need to transfer the ''Dynamo'' package.  Assuming you have the <tt>tar</tt> file in your local machine:
-<tt> scp  -i "keyFile.pem" <your Dynamo tar>  <your amazon instance>:/home/ubuntu/ </tt>
+<tt> scp  -i "keyFile.pem" <your Dynamo tar>  <ec2-user@<your instance's public DNS>:/home/ubuntu/ </tt>
 === Setting the terminal ===
-Then, you can ssh to your EC2 terminal. There, you still need to operate a couple of adjustments:
+Then, you can <tt>ssh</tt> to your EC2 virtual terminal. There, you still to install ''Dynamo'':
   <tt>mkdir dynamo</tt>
@@ Line 114: / Line 114: @@
   <tt>sudo yum install -y libXt </tt>
-Now you are ready to go. This terminal will be able to run ''Dynamo'' projects in the usual way. We suggest you to test the installation by opening the command line of Dynamo:
+Now you are ready to go. This terminal will be able to run ''Dynamo'' projects in the usual way. We suggest you to test the installation by activating ''Dynamo''
   <tt>dynamo</tt>

← Older revision		Revision as of 12:18, 21 September 2017
Line 63:		Line 63:

	However, the information is not totally correct, as the user name you need to use is <tt>ec2-user</tt>. This information can be consulted [[https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html?icmpid=docs_ec2_console in the documentation provided by Amazon]]		However, the information is not totally correct, as the user name you need to use is <tt>ec2-user</tt>. This information can be consulted [[https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html?icmpid=docs_ec2_console in the documentation provided by Amazon]]
		+
		+	A successful launch will open this site:
		+
		+	[[File:Ec2SuccesfulLaunch.png \|thumb\|center\|700px\|Successful launch]]
		+
		+	which will not update. You probably want to go to the dashboard of resources and then click on ''Running Instances''
		+
		+	[[File:Ec2runningInstancesDashboard.png \|thumb\|center\|700px\|Running instances in dashboard ]]
		+
		+	to control the current status of the instance you just launched
		+
		+	[[ File:Ec2InstanceManager.png\|thumb\|center\|700px\|Management of instances]]

	=== Connecting to the instance ===		=== Connecting to the instance ===

@@ Line 48: / Line 48: @@
 [[ File:AddStorageMain.png |thumb|center|500px|Selecting adequate storage]]
 === Launching an instance ===
@@ Line 53: / Line 60: @@
 After launching the instance, a window will pop up with information for connecting to the virtual server through an <tt>ssh</tt> command. You will get the public DNS of the instance, and some instructions.
-[[File:Ec2LaunchInstanceInformation.png  |thumb|center|500px|Information after launching of the instance]]
+[[File:Ec2LaunchInstanceInformation.png  |thumb|center|700px|Information after launching of the instance]]
 However, the information is not totally correct, as the user name you need to use is <tt>ec2-user</tt>. This information  can be consulted  [[https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html?icmpid=docs_ec2_console in the documentation provided by Amazon]]

@@ Line 20: / Line 20: @@
 Your instance will be built on the top of an AMI  of type CUDA7.5  provided by NIVIDA. You can find it in the Amazon Marketplace. The use of the AMI itself  is free of charge: you will only have to pay to Amazon the time you keep the instance running.
-[[ File:Ec2CUDAAMI.png  |thumb|center|500px|Launch an instance]]
+[[ File:Ec2CUDAAMI.png  |thumb|center|700px| Select the CUDA AMI from the marketplace]]
 ==== Instance type ====
@@ Line 28: / Line 32: @@
 [[ File:Ec2ChooseGPUInstance.png  |thumb|center|600px| Select an instance type that includes GPU accelerators]]
-For some of the instance types you might need to contact Amazon: the default profile user usually cannot ask for a <tt>p2.large</tt> or an <tt>g2.large</tt> instance. You';ll probably need to apply for permission for launching them using your user support menu. This might take one or two days.
+For some of the instance types you might need to contact Amazon: the default profile user usually cannot ask for a <tt>p2.large</tt> or an <tt>g2.large</tt> instance.
 Also, take into account that not all areas provide all types of instances. You might need to change your geographic area in order to access GPU instances.
 ==== Storage  ====

@@ Line 60: / Line 60: @@
 After you connect to it, you can check that the nvidia driver is in place by typing
-  <tt>nvidia-smi</tt>.
+  <tt>nvidia-smi</tt>
-You can also find the libraries
+You can also find the CUDA libraries under <tt>/usr/local/cuda</tt>
 == Running Dynamo projects==