GithubHelp home page GithubHelp logo

flamingofugang / cryoem-cloud-tools Goto Github PK

View Code? Open in Web Editor NEW

This project forked from cianfrocco-lab/cryoem-cloud-tools

0.0 1.0 0.0 344.74 MB

Software to integrate Relion GUI with Amazon Web Services, accompanied by easy command line tools. Learn more at cryoem-tools.cloud

License: MIT License

Shell 0.27% Python 10.68% Perl 0.23% CMake 2.22% C 0.34% C++ 44.73% Makefile 9.59% Cuda 29.36% TeX 0.58% HTML 2.01%

cryoem-cloud-tools's Introduction

Cryo-EM Cloud Tools

Software to interface with AWS through convenient command line inputs, ultimately connecting into Relion-2.0's GUI to launch cloud processing from local Relion-2.0 GUI.

To learn more: cryoem-tools.cloud

See below for advanced installation instructions. To use a downloader script, please see more here

Contents:

Getting started

Software dependencies

You'll need to install pip, aws cli, cryptography, and fabric:

Installation

Clone git repository:

https://github.com/cianfrocco-lab/cryoem-cloud-tools

Edit file cryoem-cloud-tools/aws/aws_init.sh to include AWS credentials. Consider moving out of cryoem-cloud-tools folder so that it does not get over written when you update the git repo.

With this file location, add the following line to your .cshrc / .bashrc / .bash_profile:

source /path/to/aws_init.sh

You will also need to include your AWS keypair path in aws_init.sh. Copy keypair into this new directory, double checking that this path is in the /home/[user]/.aws/aws_init.sh correctly. Also, make sure to modify permissions of file using:

$ chmod 600 /path/to/keypair.pem 

For MacOSX users:

We compiled all python code into the directory aws_build_osx so that users do not need to install fabric (which sometimes can be a hassle).

  • If you use this library on your Mac, use file aws_aliases_osx.sh instead of aws_aliases.sh in your aws_inith.sh script
  • This repo also comes with Relion-2.0 pre-compiled for Mac (see below)

External software included in repo:

  • Relion-2.0: We also included a compiled Relion-2.0 version compatible for Mac OSX that can be found in cryoem-cloud-tools/external_software/relion-2.0-mac

Typical Workflow for Using Command Line Tools

In using these wrappers, we typically use only a few of the commands for booting up & terminating instances.

Create new EBS volume for data upload

You will store and process your data on EBS volumes, so to create an EBS volume you specify the volume size (in Gigabytes) and the availability zone (keep in mind that your initial setup above assumes a certain region). This amount of data storage is static, so, after creating it is very difficult to expand the size. Choose the size wisely!

$ aws_ebs_create

Usage: aws_ebs_create [size in GB] [zone] "Description in double quotes"
$ aws_ebs_create 100 us-west-2c "My shiny data"

Create volume in us-west-2c that is 100 GB? [Y/n] Y

Creating volume ...

You will now see this in your list of AWS resources:

$ awsls
----------------------------------------------------------------------------------------------------------
Volume ID       Description             Avail. Zone     Size    User            Status          Instance
----------------------------------------------------------------------------------------------------------
vol-85cb3210    My shiny data 	 	us-west-2c    100GB   mike_oregon     available       --

Boot up instance with EBS volume attached

At this point, we recommend p2 instances for particle picking / ctf estimation (p2.xlarge), 2D classification (p2.16xlarge), and 3D classification/refinement (p2.8xlarge). To start one of these instances with your EBS volume attached:

$ awslaunch --instance=p2.8xlarge --availZone=us-west-2c --volume=vol-85cb3210 

Note: If you want to upload data, use p2.8xlarge ($0.90/hr) or c4.xlarge ($0.199/hr).

After running this command, the log in information will be shown on the command line or you can always see it using:

$ awsls 
AWS EC2 information for user mike_oregon in region us-west-2

----------------------------------------------------------------------------------------------------
InstanceType	Avail. Zone	InstanceID		Status		User		Login info
----------------------------------------------------------------------------------------------------
p2.8xlarge	us-west-2c	i-98sdkfksdf9ssd9	running		mike_oregon	ssh -X -i /home/michaelc/.aws/mike_oregon.pem [email protected]

To log on, just copy the ssh information into your command line:

$ ssh -X -i /home/michaelc/.aws/mike_oregon.pem [email protected]

And it will log you onto your machine.

Your data will be located in the folder /data/:

To access:

$ cd /data

Terminate instance

When you are finished analyzing your data, you can terminate your instance using:

$ awskill 

Usage: awskill [instance ID or cluster name]

To kill your instance:

$ awskill i-98sdkfksdf9ssd9 

Note: If there are any running processes such as a relion GUI or an open terminal, it cannot terminate the instance. Kill / stop these processes and then try again.

Usage

The underlying code is written in python and aliased to simple commands: awsls, awslaunch, awskill.

  • awsls

    • Lists all instances & volumes assigned to user, where user instances are assigned based upon being tagged with key pair name as the instance Owner.
    • Include -i to only show instances that are running
    • Include -v to only show EBS volumes
    • Include -c to include listings of any clusters created with STARcluster
    • Example usage:
      $ awsls
        ---------------------------------------------------------------------------------------
        ReservedInstanceType	Avail. Zone	InstanceID	Status	IP Address	User
        ---------------------------------------------------------------------------------------
        No instances found
        ----------------------------------------------------------------------------------------------------------------------------------------
        SpotInstanceType	Avail. Zone	SpotInstanceID	SpotStatus	InstanceID	Status		IP Address	Price	User	
        ----------------------------------------------------------------------------------------------------------------------------------------
        m3.medium		us-west-2a	sir-b6dg94hn	closed		---		---		---		$0.040	mike_oregon
        ----------------------------------------------------------------------------------------
        Volume ID	Avail. Zone	Size	User		Status		Instance
        ----------------------------------------------------------------------------------------
        vol-169efda2	us-west-2a	400GB	mike_oregon	available	--
  • awslaunch

    • Command to launch instance, configuring security group into VPC automatically to only allow users IP address for incoming SSH traffic.
    • Example usage:
      $ awslaunch
        Usage: awslaunch --instance=
        Options:
          -h, --help          show this help message and exit
          --instance=STRING   Specify instance type to launch
          --availZone=STRING  Specify availability zone
          --spotPrice=FLOAT   Optional: Specify spot price (if spot instance
               		              requested)
          --volume=STRING     Optional: Specifiy volume ID to be mounted onto instance
                 		      (Must be same avail. zone)
          --relion2           Optional: Flag to use relion2 environment on non-GPU
                      		      machines (By default, relion2 software is only loaded
                      		      onto GPU (p2) instances)
          --rosetta           Optional: Flag to use rosetta environment (Rosetta runs
             		              on CPUs)
          --instanceList      Flag to list available instances
          -d                  debug
      $ awslaunch --instance=t2.micro
        Launching AWS instance t2.micro for user keyName_virginia
        Configuring security settings ...
        Booting up instance ...
        Waiting for instance to pass system checks ...
        Instance is ready! To log in:
        ssh -i /home/[user]/.aws/keyName_virginia.pem [email protected]
  • awskill

    • Command to terminate running instance or STARcluster
    • Example usage:
      $ awskill
        Usage: awskill [instance ID]
        Specify instance ID that will be terminated, which can be found using "awsls"
      $ awskill i-112k43e
        Terminate instance i-112k43e? [Y/n] Y
        Removing instance ...
      $ awskill cluster-m3.medium
  • aws_ebs_create

    • Command to create new EBS volume
    • Example usage:
      $ aws_ebs_create 
        Usage: aws_ebs_create [size in GB] [zone]
        Specify size of EBS volume to be created (in GB) along with availability zone (e.g. us-east-1b)
      $ aws_ebs_create 100 us-east-1b
  • aws_ebs_delete

    • Command to delete EBS volume. Be careful! This cannot be undone.
    • Example usage:
      $ aws_ebs_delete 
        Usage: aws_ebs_delete [volume ID]
        Specify EBS volume to delete. Warning: Cannot be undone!!
      $ aws_ebs_delete vol-id559699
  • aws_ebs_attach

    • Command to attach EBS volume to running instance.
    • Example usage:
      $ aws_ebs_attach 
        Usage: aws_ebs_attach [instance ID] [volume ID]
        Attach EBS volume to instance.
      $ aws_ebs_attach i-112k43e vol-id559699
  • aws_ebs_detach

    • Command to attach EBS volume to running instance.
      • Example usage:
        $ aws_ebs_detach
        Usage: aws_ebs_detach [volume ID]
        Detach EBS volume from instance.
        $ aws_ebs_detach vol-id559699
  • awslaunch_cluster * Command to launch a cluster of instances using STARcluster. Note: Must have starcluster already installed (see above for install info). * Example usage:

    $ awslaunch_cluster
    Usage: awslaunch_cluster --instance=
    Options:
    -h, --help          show this help message and exit
    --instance=STRING   Specify instance type to launch into cluster
    --num=INTEGER       Number of instances in cluster
    --availZone=STRING  Specify availability zone
    --volume=STRING     Optional: Volume ID for volume that will be mounted onto
    cluster
    --spotPrice=FLOAT   Optional: Specify spot price (if spot instance
    requested)
    --instanceList      Flag to list available instances
    -d                  debug
    $ awslaunch_cluster --instance=c3.xlarge --num=4 --availZone=us-west-2a --spotPrice=0.2

  • aws_spot_price_history * Command to list spot prices over the past 24 hours * Example usage:

    $ aws_spot_price_history
    Usage: aws_spot_price_history [instance type] [avail. zone]
    Specify instance type over which spot price history will be listed based upon availability zone
    $ aws_spot_price_history m3.meduim us-west-2a

Removing temporary data storage on AWS

During the course of processing, this workflow will temporarily place data onto S3 and EBS volumes to speed up data processing. This data can be removed by running the command:

$ delete_temp_s3_ebs 

This will remove all S3 buckets and EBS volumes that have the naming pattern: rln-aws-tmp.

All buckets and volumes will be removed based upon the number of days specified in your aws_init.sh file, where any bucket or volume older than the specified time will be removed.

cryoem-cloud-tools's People

Contributors

carl9384 avatar mcianfrocco avatar mkeating avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.