CycleCloud GridEngine Project

This project contains the GridEngine cluster template file. The other GridEngine artifacts, such as install scripts, are contained in the CycleCloud product.

Configuring Resources

The cyclecloud-gridengine application matches sge resources to azure cloud resources to provide rich autoscaling and cluster configuration tools. The application will be deployed automatically for clusters created via the CycleCloud UI or it can be installed on any gridengine admin host on an existing cluster.

Installing or Upgrading cyclecloud-gridengine

The cyclecloud-gridengine bundle will be available in github as a release artifact. Installing and upgrading will be the same process. The application requires python3 with virtualenv.

tar xzf cyclecloud-gridengine-pkg-*.tar.gz
cd cyclecloud-gridengine
./install.sh
./generate_autoscale_json.sh --username USER --password PASS --cluster-name CLUSTER --url https://cyclecloud-address:port

Important Files

The application parses the sge configuration each time it's called - jobs, queues, complexes. Information is provided in the stderr and stdout of the command as well as to a log file, both at configurable levels. All gridengine management commands with arguments are logged to file as well.

Description	Location
Autoscale Config	/opt/cycle/gridengine/autoscale.json
Autoscale Log	/opt/cycle/jetpack/logs/autoscale.log
qconf trace log	/opt/cycle/jetpack/logs/qcmd.log

SGE queues, hostgroups and parallel environments

The cyclecloud-gridengine autoscale utility, azge, will add hosts to the cluster according to the cluster configuration. The autoscaling operations perform the following actions.

1. Read the job resource request and find an appropriate VM to start
2. Start the VM and wait for it to be ready
3. Read the queue and parallel environment from the job
4. Based on the queue/pe assign the host to an appropriate hostgroup
5. Add the host to the cluster as well as to any other queue containing the hostgroup

Consider the following queue definition for a queue named short.q

hostlist              @allhosts @mpihg01 @mpihg02 @lowprio 
...
seq_no                10000,[@lowprio=10],[@mpihg01=100],[@mpihg02=200]
pe_list               NONE,[@mpihg01=mpi01], \
                      [@mpihg02=mpi02]

Submitting a job by qsub -q short.q -pe mpi02 12 my-script.sh will start at lease one VM, and when it's added to the cluster, it will join hostgroup @mpihg02 because that's the hostgroup both available to the queue and to the parallel environment. It will also be added to @allhosts, which is a special hostgroup.

Without specifying a pe, qsub -q short.q my-script.sh the resulting VM will be added to @allhosts and @lowpriority these are the hostgroups in the queue which aren't assigned pes.

Finally, a job submitted with qsub -q short.q -pe mpi0* 12 my-script.sh will result in a VM added to either @mpihg01 or @mpihg02 depending on CycleCloud allocation predictions.

Parallel environments implicitly equate to cyclecloud placement group. VMs in a PE are constrained to be within the same network. If you wish to use a PE that doesn't keep a placement group then use the autoscale.json to opt out.

Here we opt out of placement groups for the make pe:

"gridengine": {
    "pes": {
      "make": {
        "requires_placement_groups": false
      }
    },

CycleCloud Placement Groups

CycleCloud placement groups map one-to-one to Azure VMSS with SinglePlacementGroup - VMs in a placementgroup share an Infiniband Fabric and share only with VMs within the placement group. To intuitively preserve these silos, the placementgroups map 1:1 with gridengine parallel environment as well.

Specifying a parallel environment for a job will restrict the job to run in a placement group via smart hostgroup assignment logic. You can opt out of this behavior with the aforementioned configuration in autoscale.json : "required_placement_groups" : false.

Autoscale config

This plugin will automatically scale the grid to meet the demands of the workload. The autoscale.json config file determines the behavior of the Grid Engine autoscaler.

• Set the cyclecloud connection details
• Set the termination timer for idle nodes
• Multi-dimensional autoscaling is possible, set which attributes to use in the job packing e.g. slots, memory
• Register the queues, parallel environments and hostgroups to be managed

Configuration	Type	Description
url	String	CC URL
username/password	String	CC Connection Details
cluster_name	String	CC Cluster Name
default_resources	Map	Link a node resource to a Grid Engine host resource for autoscale
idle_timeout	Int	Wait time before terminating idle nodes (s)
boot_timeout	Int	Wait time before terminating nodes during long configuration phases (s)
gridengine.relevant_complexes	List (String)	Grid engine complexes to consider in autoscaling e.g. slots, mem_free
gridengine.logging	File	Location of logging config file
gridengine.pes	Struct	Specify behavior of PEs, e.g. requires_placement_group = false

The autoscaling program will only consider Relevant Resource

Additional autoscaling resource

By default, the cluster with scale based on how many slots are requested by the jobs. We can add another dimension to autoscaling.

Let's say we want to autoscale by the job resource request for m_mem_free.

1. Add m_mem_free to the gridengine.relevant_resources in autoscale.json
2. Link m_mem_free to the node-level memory resource in autoscale.json

These attributes can be references with node.* as the value in _default/resources.

Node	Type	Description
nodearray	String	Name of the cyclecloud nodearray
placement_group	String	Name of the cyclecloud placement group within a nodearray
vm_size	String	VM product name, e.g. "Standard_F2s_v2"
vcpu_count	Int	Virtual CPUs available on the node as indicated on individual product pages
pcpu_count	Int	Physical CPUs available on the node
memory	String	Approximate physical memory available in the VM with unit indicator, e.g. "8.0g"

Additional attributes are in the node.resources.* namespace, e.g. `node.resources.

Node	Type	Description
ncpus	String	Number of CPUs available in in the VM
pcpus	String	Number of physical CPUs available in the VM
ngpus	Integer	Number of GPUs available in the VM
memb	String	Approximate physical memory available in the VM with unit indicator, e.g. "8.0b"
memkb	String	Approximate physical memory available in the VM with unit indicator, e.g. "8.0k"
memmb	String	Approximate physical memory available in the VM with unit indicator, e.g. "8.0m"
memgb	String	Approximate physical memory available in the VM with unit indicator, e.g. "8.0g"
memtb	String	Approximate physical memory available in the VM with unit indicator, e.g. "8.0t"
slots	Integer	Same as ncpus
slot_type	String	Addition label for extensions. Not generally used.
m_mem_free	String	Expected free memory on the execution host, e.g. "3.0g"
mfree	String	Same as _m/_mem/free

Resource Mapping

There are also maths available to the default_resources - reduce the slots on a particular node array by two and add the docker resource to all nodes:

    "default_resources": [
    {
      "select": {"node.nodearray": "beegfs"},
      "name": "slots",
      "value": "node.vcpu_count",
      "subtract": 2
    },
    {
      "select": {},
      "name": "docker",
      "value": true
    },

Mapping the node vCPUs to the slots complex, and memmb to mem_free are commonly used defaults. The first association is required.

    "default_resources": [
    {
      "select": {},
      "name": "slots",
      "value": "node.vcpu_count"
    },
    {
      "select": {},
      "name": "mem_free",
      "value": "node.resources.memmb"
    }
 ],

Note that if a complex has a shortcut not equal to the entire value, then define both in default_resources where physical_cpu is the complex name:

"default_resources": [
    {
      "select": {},
      "name": "physical_cpu",
      "value": "node.pcpu_count"
    },
    {
      "select": {},
      "name": "pcpu",
      "value": "node.resources.physical_cpu"
    }
]

Hostgroups

The CycleCloud autoscaler, in attempting to satisfy job requirements, will map nodes to the appropriate hostgroup. Queues, parallel environments and complexes are all considered. Much of the logic is matching the appropriate cyclecloud bucket (and node quantity) with the appropriate sge hostgroup.

For a job submitted as: qsub -q "cloud.q" -l "m_mem_free=4g" -pe "mpi*" 48 ./myjob.sh

Cyclecloud will find get the intersection of hostgroups which:

1. Are included in the pe_list for cloud.q and match the pe name, e.g. pe_list [@allhosts=mpislots],[@hpc1=mpi].
2. Have adequate resources and subscription quota to provide all job resources.
3. Are not filtered by the hostgroup constraints configuration.

It's possible that multiple hostgroups will meet these requirements, in which case the logic will need to choose. There are three ways to resolve ambiguities in hostgroup membership:

1. Configure the queues so that there aren't ambiguities.
2. Add constraints to autoscale.json.
3. Let cyclecloud choose amoungst the matching hostgroups in a name-ordered fashion by adjusting weight_queue_host_sort < weight_queue_seqno in the scheduler configuration.
4. Set seq_no 10000,[@hostgroup1=100],[@hostgroup2=200] in the queue configuration to indicate a hostgroup preference.

Hostgroup contstraints

When multiple hostgroups are defined by a queue or xproject then all these hostgroups can potentially have the hosts added to them. You can limit what kinds of hosts can be added to which queues by setting hostgroup constraints. Set a constraint based on the node properties.

"gridengine": {
    "hostgroups": {
      "@mpi": {
        "constraints": {
          "node.vm_size": "Standard_H44rs"
        }
      },
      "@amd-mem": {
        "constraints" : { 
            "node.vm_size": "Standard_D2_v3",
            "node.nodearray": "hpc" 
            }
        },
    }
  }

HINT: Inspect all the available node properties by azge buckets.

azge

This package comes with a command-line, azge. This program should be used to perform autoscaling and has broken out all the subprocesses under autoscale. These commands rely on the gridengine environment variables to be set - you must be able to call qconf and qsub from the same profile where azge is called.

azge commands	Description
validate	Checks for known configuration errors in the autoscaler or gridengine
jobs	Shows all jobs in the queue
buckets	Shows available resource pools for autoscaling
nodes	Shows cluster hosts and properties
demand	Matches job requirements to cyclecloud buckets and provides autoscale result
autoscale	Does full autoscale, starting and removing nodes according to configurations

When modifying scheduler configurations (qconf) or autoscale configurations (autoscale.json), or even setting up for the first time, azge can be used to check autoscale behavior is matching expections. As root, you can run the following operations. It's advisable to get familiar with these to understand the autoscale behavior.

1. Run azge validate to verify configurations for known issues.
2. Run azge buckets to examine what resources your CycleCloud cluster is offering.
3. Run azge jobs to inspect the queued job details.
4. Run azge demand perform the job to bucket matching, examine which jobs get matched to which buckets and hostgroups.
5. Run azge autoscale to kickoff the node allocation process, or add nodes which are ready to join.

Then, when these commands are behaving as expected, enable ongoing autoscale by adding the azge autoscale command to the root crontab. (Souce the gridengine environment variables)

* * * * * . $SGE_ROOT/common/settings.sh && /usr/local/bin/azge autoscale -c /opt/cycle/gridengine/autoscale.json

Creating a hybrid cluster

Cyclecloud will support the scenario of bursting to the cloud. The base configuration assumes that the $SGE_ROOT directory is available to the cloud nodes. This assumption can be relaxed by setting gridengine.shared.spool = false, gridengine.shared.bin = false and installing GridEngine locally. For a simple case, you should provide a filesystem that can be mounted by the execute nodes which contains the $SGE_ROOT directory and configure that mount in the optional settings. When the dependency of the sched and shared directories are released, you can shut down the scheduler node that is part of the cluster by-default and use the configurations from the external filesystem.

1. Create a new gridengine cluster
2. Disable return proxy
3. Replace /sched and /shared with external filesystems
4. Save the cluster
5. Remove the scheduler node
6. Configure cyclecloud-gridengine with autoscale.json to use the new cluster

Using Univa Grid Engine in CycleCloud

CycleCloud project for GridEngine uses sge-2011.11 by default. You may use your own Univa GridEngine installers according to your Univa license agreement.
This section documents how to use Univa GridEngine with the CycleCloud GridEngine project.

Prerequisites

This example will use the 8.6.1-demo version, but all ge versions > 8.4.0 are supported.

1. Users must provide UGE binaries

• ge-8.6.x-bin-lx-amd64.tar.gz
• ge-8.6.x-common.tar.gz

2. The cyclecloud cli must be configured. Documentation is available here

Copy the binaries into the cloud locker

A complementary version of UGE (8.6.7-demo) is distributed with Cyclecloud. To use another version upload the binaries to the storage account that CycleCloud uses.

$ azcopy cp ge-8.6.12-bin-lx-amd64.tar.gz https://<storage-account-name>.blob.core.windows.net/cyclecloud/gridengine/blobs/
$ azcopy cp ge-8.6.12-common.tar.gz https://<storage-account-name>.blob.core.windows.net/cyclecloud/gridengine/blobs/

Modifying configs to the cluster template

Make a local copy of the gridengine template and modify it to use the UGE installers instead of the default.

wget https://raw.githubusercontent.com/Azure/cyclecloud-gridengine/master/templates/gridengine.txt

In the gridengine.txt file, locate the first occurrence of [[[configuration]]] and insert text such that it matches the snippet below. This file is not sensitive to indentation.

NOTE: The details in the configuration, particularly version, should match the installer file name.

[[[configuration gridengine]]]
    make = ge
    version = 8.6.12-demo
    root = /sched/ge/ge-8.6.12-demo
    cell = "default"
    sge_qmaster_port = "537"
    sge_execd_port = "538"
    sge_cluster_name = "grid1"
    gid_range = "20000-20100"
    qmaster_spool_dir = "/sched/ge/ge-8.6.12-demo/default/spool/qmaster" 
    execd_spool_dir = "/sched/ge/ge-8.6.12-demo/default/spool"
    spooling_method = "berkeleydb"
    shadow_host = ""
    admin_mail = ""
    idle_timeout = 300

    managed_fs = true
    shared.bin = true

    ignore_fqdn = true
    group.name = "sgeadmin"
    group.gid = 536
    user.name = "sgeadmin"
    user.uid = 536
    user.gid = 536
    user.description = "SGE admin user"
    user.home = "/shared/home/sgeadmin"
    user.shell = "/bin/bash"

These configs will override the default gridengine version and installation location, as the cluster starts.
It is not safe to move off of the /sched as it's a specifically shared nfs location in the cluster.

Import the cluster template file

Using the cyclecloud cli, import a cluster template from the new cluster template file.

cyclecloud import_cluster UGE -c 'grid engine' -f gridengine.txt -t

Similar to this tutorial in the documentation, new UGE cluster type is now available in the Create Cluster menu in the UI.

Configure and create the cluster in the UI, save it, and start it.

Verify GridEngine version

As an example, the cluster that has been configured and started is called "test-uge". When the master node reaches the Started state (green), log into the node with the cyclecloud connect command.

cyclecloud connect master -c test-uge`
Last login: Tue Jan 29 20:37:14 2019 

 __        __  |    ___       __  |    __         __|
(___ (__| (___ |_, (__/_     (___ |_, (__) (__(_ (__|
        |

Cluster: test-uge
Version: 7.6.2

Then check the grid engine version with qstat

qstat -h
UGE 8.6.1
usage: qstat [options]

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.