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amc1999 edited this page Nov 18, 2021 · 9 revisions

Where is OpenM++

It is recommended to start from desktop version of openM++.

You need to use cluster version of openM++ to run the model on multiple computers in your network, in cloud or HPC cluster environment. OpenM++ is using MPI to run the models on multiple computers. Please check Model Run: How to Run the Model page for more details.

You can use Docker containers to avoid installation of multiple additional components in your host computer. Because all necessary software will be installed in container your host system will be clean.

Prerequisites

You may need to install Microsoft Visual C++ redistributable runtime, unless it is already installed as a part of some other software package:

Microsoft Visual C++ Redistributable runtime

If it is not present then please follow Microsoft instructions about: Visual C++ Redistributable.

Run on Windows computer

C:
cd \SomeDir\openmpp_win_20180205\models\bin
modelOne.exe

2014-03-17 17:14:24.0023 Model: modelOne
2014-03-17 17:14:24.0070 Reading Parameters
2014-03-17 17:14:24.0085 Running Simulation
2014-03-17 17:14:24.0101 Writing Output Tables
2014-03-17 17:14:24.0179 Done.
  • run modelOne model with 16 subsamples and 4 threads:
modelOne.exe -OpenM.Subvalues 16 -OpenM.Threads 4

2017-06-06 17:35:29.0421 modelOne
2017-06-06 17:35:29.0435 One-time initialization
2017-06-06 17:35:29.0454 Run: 106
2017-06-06 17:35:29.0456 Reading Parameters
2017-06-06 17:35:29.0460 Running Simulation
2017-06-06 17:35:29.0464 Writing Output Tables
........................
2017-06-06 17:35:29.0870 Done.
  • run other models (i.e. NewCaseBased, NewTimeBased, RiskPaths):
NewCaseBased.exe -OpenM.Subvalues 8 -OpenM.Threads 2
  • run RiskPaths model with new parameter value CanDie = true and all other parameter values the same as in previous model run:
RiskPaths.exe -Parameter.CanDie true -OpenM.BaseRunId 102

2020-08-14 17:27:48.574 RiskPaths
2020-08-14 17:27:48.610 Run: 103
2020-08-14 17:27:48.618 Sub-value: 0
2020-08-14 17:27:48.628 member=0 Simulation progress=0% cases=0
........................
2020-08-14 17:27:54.883 Done.
  • run modelOne to compute modeling task "taskOne":
modelOne.exe -OpenM.Subvalues 16 -OpenM.Threads 4 -OpenM.TaskName taskOne

2017-06-06 17:39:24.0757 modelOne
2017-06-06 17:39:24.0782 One-time initialization
2017-06-06 17:39:24.0800 Run: 107
2017-06-06 17:39:24.0802 Reading Parameters
2017-06-06 17:39:24.0807 Running Simulation
........................
2017-06-06 17:39:25.0232 Run: 108
2017-06-06 17:39:25.0234 Reading Parameters
........................
2017-06-06 17:39:25.0661 Done.
  • in case if previous model run fail, for example, due to power outage, then it can be "restarted":
modelOne.exe -OpenM.RestartRunId 1234

output may vary depending on the stage where previous modelOne run failed, but still similar to above.

Note: We recommend to use normal Windows command line cmd.exe. If you are using Windows PowerShell then it may be necessary to put "quotes" around command line options, e.g:

model.exe "-OpenM.Subvalues" 16

Run on multiple computers over network, in HPC cluster or cloud

  • download and unzip Windows cluster binaries openmpp_win_mpi_YYYYMMDD.zip into C:\AnyDir. Please notice name of cluster version archive has mpi in it, i.e. openmpp_win_mpi_20180205.zip and is located in a subdirectory mpi.

  • if you are using regular Windows computers in your organization network (like Windows 7 or 10 and not MS HPC servers or Azure) then:

    • make sure you have latest version of Microsoft MPI Redistributable installed.
    • or pull Docker image docker pull openmpp/openmpp-run:windows-1903 to run models inside the container (see below).

  • run modelOne model with single subsample on local machine:

C:
cd \AnyDir\openmpp_win_mpi_20180205\models\bin
modelOne_mpi.exe

2014-03-17 17:14:24.0023 Model: modelOne
2014-03-17 17:14:24.0070 Reading Parameters
2014-03-17 17:14:24.0085 Running Simulation
2014-03-17 17:14:24.0101 Writing Output Tables
2014-03-17 17:14:24.0179 Done.
  • run two instances of modelOne to compute 16 subsamples and 4 threads:
mpiexec -n 2 modelOne_mpi.exe -OpenM.Subvalues 16 -OpenM.Threads 4

2017-06-06 17:52:06.0143 modelOne
2017-06-06 17:52:06.0145 modelOne
2017-06-06 17:52:06.0179 Parallel run of 2 modeling processes, 4 thread(s) each
2017-06-06 17:52:06.0179 One-time initialization
2017-06-06 17:52:06.0179 One-time initialization
2017-06-06 17:52:06.0192 Run: 106
2017-06-06 17:52:06.0192 Run: 106
2017-06-06 17:52:06.0192 Reading Parameters
........................
2017-06-06 17:52:06.0532 Writing Output Tables
2017-06-06 17:52:06.0599 Done.
2017-06-06 17:52:06.0599 Done.
  • run other models (i.e. NewCaseBased, NewTimeBased, RiskPaths):
mpiexec -n 8 NewCaseBased_mpi.exe -OpenM.Subvalues 64 -OpenM.Threads 4

Microsoft recommends to install HPC Pack which simplifies your computational resources management rather than using mpiexec as above. It is also possible to use Microsoft Azure cloud where compute nodes available for you on demand.

Run models using Docker container

docker pull openmpp/openmpp-run:windows-1903
  • run modelOne model with single subsample:
docker run -v C:\AnyDir\models\bin:C:\ompp openmpp/openmpp-run:windows-1903 modelOne.exe

2014-03-17 17:14:24.0023 Model: modelOne
2014-03-17 17:14:24.0070 Reading Parameters
2014-03-17 17:14:24.0085 Running Simulation
2014-03-17 17:14:24.0101 Writing Output Tables
2014-03-17 17:14:24.0179 Done.
  • run two instances of modelOne to compute 16 subsamples and 4 threads:
docker run -v C:\AnyDir\models\bin:C:\ompp openmpp/openmpp-run:windows-1903 mpiexec -n 2 modelOne_mpi.exe -OpenM.Subvalues 16 -OpenM.Threads 4

2017-06-06 17:52:06.0143 modelOne
2017-06-06 17:52:06.0145 modelOne
2017-06-06 17:52:06.0179 Parallel run of 2 modeling processes, 4 thread(s) each
2017-06-06 17:52:06.0179 One-time initialization
2017-06-06 17:52:06.0179 One-time initialization
2017-06-06 17:52:06.0192 Run: 106
2017-06-06 17:52:06.0192 Run: 106
2017-06-06 17:52:06.0192 Reading Parameters
........................
2017-06-06 17:52:06.0532 Writing Output Tables
2017-06-06 17:52:06.0599 Done.
2017-06-06 17:52:06.0599 Done.
  • run other models (i.e. NewCaseBased, NewTimeBased, RiskPaths):
docker run -v C:\AnyDir\models\bin:C:\ompp openmpp/openmpp-run:windows-1903 mpiexec -n 8 NewCaseBased_mpi.exe -OpenM.Subvalues 64 -OpenM.Threads 4

Home

Getting Started

Model development in OpenM++

Using OpenM++

Model Development Topics

OpenM++ web-service: API and cloud setup

Using OpenM++ from Python and R

Docker

OpenM++ Development

OpenM++ Design, Roadmap and Status

OpenM++ web-service API

GET Model Metadata

GET Model Extras

GET Model Run results metadata

GET Model Workset metadata: set of input parameters

Read Parameters, Output Tables or Microdata values

GET Parameters, Output Tables or Microdata values

GET Parameters, Output Tables or Microdata as CSV

GET Modeling Task metadata and task run history

Update Model Profile: set of key-value options

Update Model Workset: set of input parameters

Update Model Runs

Update Modeling Tasks

Run Models: run models and monitor progress

Download model, model run results or input parameters

Upload model runs or worksets (input scenarios)

Download and upload user files

User: manage user settings

Model run jobs and service state

Administrative: manage web-service state

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