Deploying Hermes
Configuring + Deploying Hermes
The Hermes daemon is responsible for tracking various metadata, and it is required to be launched before your application. There should only be one Hermes daemon per node. We recommend Jarvis for deploying Hermes. Jarvis is a framework that configures and deploys complex applications and services. Jarvis will automatically set various environment variables that Hermes expects in order for applications to be deployed. We have also integrated several applications into Jarvis that can be seamlessly deployed with Hermes.
Jarvis is automatically installed as a dependency in GRC's spack repo.
Building the Jarvis Configuration
Bootstrapping for a single-node machine
You may be trying to test things on just a single node.
In this case, run:
jarvis bootstrap from local
Bootstrapping from a specific machine
Jarvis has been pre-configured on some machines. To bootstrap from one of them, run the following:
jarvis bootstrap from ares
NOTE: Jarvis must be installed from the compute nodes in Ares, NOT the master node. This is because we store configuration data in /mnt/ssd by default, which is only on compute nodes. We do not store data in /tmp since it will be eventually destroyed.
To check the set of available machines to bootstrap from, run:
jarvis bootstrap list
Creating a new configuration
A configuration can be generated as follows:
jarvis init [CONFIG_DIR] [PRIVATE_DIR] [SHARED_DIR (optional)]
- CONFIG_DIR: A directory where jarvis metadata for pkgs and pipelines are stored. This directory can be anywhere that the current user can access.
- PRIVATE_DIR: A directory which is common across all machines, but stores data locally to the machine. Some jarvis pkgs require certain data to be stored per-machine. OrangeFS is an example.
- SHARED_DIR: A directory which is common across all machines, where each machine has the same view of data in the directory. Most jarvis pkgs require this, but on machines without a global filesystem (e.g., Chameleon Cloud), this parameter can be set later.
For a personal machine, these directories can be the same directory.
In addition to initializing the jarvis conf file, you must also build a resource graph.
Set the active Hostfile
The hostfile contains the set of nodes that the pipeline will run over. This is structured the same way as a traditional MPI hostfile.
An example hostfile:
ares-comp-20
ares-comp-[21-25]
To set the active hostfile, run:
jarvis hostfile set /path/to/hostfile
Note that every time you change the hostfile, you will need to update the pipeline. Jarvis does not automatically detect changes to this file.
jarvis ppl update
Building the Resource Graph
NOTE: This step only needs to be run if you did jarvis bootstrap from local
or jarvis init
.
If you bootstrap from a specific machine, then skip this section.
The resource graph is a snapshot of your systems network and storage. Many packages depend on it for their configurations. The Hermes I/O system, for example, uses this to identify valid networks and buffering locations.
jarvis rg build
Building an Environment
We will now load all necessary environment variables and build a Jarvis environment named hermes_env:
spack load hermes
jarvis env build hermes_env
hermes_env will store all important environment variables, including PATH, LD_LIBRARY_PATH, etc. in a YAML file. This will make it so that you do not need to repeatedly run spack load and module load if the machine is broken.
Create a pipeline
jarvis ppl create hermes
hermes is the name of the pipeline. It doesn't need to be hermes, it can be any name.
Copy the environment cache
jarvis ppl env copy hermes_env
This will use the hermes_env environment that was previously created in
Add Hermes runtime
jarvis ppl append hermes_run
jarvis pkg configure hermes_run \
sleep=5 \
include=${HOME}/ior_data
Jarvis will automatically produce a Hermes client and server configuration that contains all storage devices and fastest available network defined in the resource graph. These configurations will be located in:
$(jarvis path +shared)/hermes_run/hermes_server.yaml
$(jarvis path +shared)/hermes_run/hermes_client.yaml
To view all parameters of the Hermes package, you can run:
jarvis pkg help hermes_run
Starting + Stopping Hermes
To start Hermes:
jarvis ppl start
Stopping and Killing Hermes
To gracefully stop Hermes and flush data back to the PFS:
jarvis ppl stop
To kill a Hermes deployment that isn't stopping gracefully:
jarvis ppl kill
Cleanup
To erase data produced by the pipeline:
jarvis ppl clean
To destroy the pipeline:
jarvis ppl destroy
Changing the active Hostfile
You may want to change the hostfile at some point. This can be done using the same command as before.
However, note that every time you change the hostfile, you will need to update the pipeline. Jarvis does not automatically detect changes to this file.
jarvis ppl update
Configuring + Deploying Hermes with an Application
As previously stated, Jarvis can be used to deploy and application with Hermes. This will automatically set environment variables (e.g., LD_PRELOAD) that will be necessary for the application to run.
Build an Environment
We will now load all necessary environment variables and build a Jarvis environment named hermes_env:
spack load hermes
spack load ior
jarvis env build hermes_ior_env
hermes_ior_env will store all important environment variables, including PATH, LD_LIBRARY_PATH, etc. in a YAML file.
Create an empty pipeline
jarvis ppl create hermes_ior
Copy the environment cache
jarvis ppl env copy hermes_ior_env
Set the active hostfile
jarvis hostfile set /path/to/hostfile
Add Hermes runtime
jarvis ppl append hermes_run
jarvis pkg configure hermes_run \
sleep=5 \
include=${HOME}/ior_data
This will ensure that if a Hermes interceptor is used, it will intercept
all paths in ${HOME}/ior_data
.
Add Hermes MPI-IO interceptor
jarvis ppl append hermes_api +mpi
This will automatically locate the interceptor library by traversing various environment variables. This will ensure that MPI-IO is intercepted by Hermes.
hermes_api includes other interceptors that can be used: posix, stdio, vfd. To view the set of options:
jarvis pkg help hermes_run
Add IOR
jarvis ppl append ior
jarvis pkg configure ior \
xfer=1m \
block=1g \
nprocs=64 \
ppn=16 \
+write +read \
out=${HOME}/ior_data/ior.bin \
api=mpiio
This IOR will perform 1GB of I/O per-process (block) in units of 1m (xfer) and
produce a single output file ${HOME}/ior_data/ior.bin
(out) using MPI-IO
(api). The total amount of I/O performed will be 64GB spread across 4 nodes.
Run the Pipeline
To run the pipeline:
jarvis ppl run
This will launch Hermes, execute IOR, and then stop Hermes. It is equivalent to:
jarvis ppl start
jarvis ppl stop
Cleanup
The following will delete intermediate data generated by Hermes + IOR:
jarvis ppl clean
Why is my application hanging?
Resource Graph Misconfiguration
Commonly, the cause is a misconfiguration in the resource graph, specifically
with the network section. If the resource graph is misconfigured, Hermes may
crash with a mercury->fatal
error and ultimately cause the program to stall
forever. Make sure that the domain, provider, and fabric are valid. To view the
Hermes configuration to see which network was selected from your resource graph,
you can run:
cat $(jarvis path)/hermes_run/hermes_server.yaml
Dependency Problems
If you are using the MPI-IO interceptor, make sure that the MPI that Hermes compiled with is equivalent to the one your application was compiled with. You may have multiple versions of MPI installed and if you didn't specify which one when installing Hermes and your program -- they may be different.
If you are using the VFD, make sure the VFD was compiled with the same HDF5 as the application.
To view the dependencies of your installed Hermes, run:
spack find -c -d hermes
Machine Misconfiguration
We have found certain instances where using semantic hostnames in the hostfile has resulted in incorrect behavior. If the machine is misconfigured, it is possible that a hostname maps to a different network domain on different nodes. To verify this, you can try using exact IP addresses in your hostfile.
To view your machine's IP addresses, you can run
ip addr show
or fi_info | grep fabric
Permissions Problems
If you cannot SSH between machines or if your known_hosts file is outdated, it is possible that Hermes will fail to launch due to permissions problems on the network. Make sure that you can SSH between machines without error.