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Linux Quick Start Developer
- Download:
- desktop version: binary files and source code openmpp_debian_YYYYMMDD.tar.gz
- cluster version: binary files and source code openmpp_debian_mpi_YYYYMMDD.tar.gz
- How to: create and debug models on Linux
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.
Tested platforms:
- Debian 10, MX Linux 19, Ubuntu 20.04, RedHat (CentOS) 8
- g++ >= 8.3
- (optional) MPI, i.e.: OpenMPI >= 3.1 or MPICH (other MPI implementations expected to work but not tested)
- (optional) OpenMPI >= 4.0 on RedHat (CentOS) >= 8.3 (OpenMPI was broken on CentOS 8.1)
It is also occasionally tested on openSUSE, Mint, Manjaro, Solus and others.
It is not supported, but may also work on older versions, for example Ubuntu 18.04 and RedHat 7 with with devtolset-7 module enabled.
There is a minor incompatibility of shared libraries between Ubuntu 20.04 and Debian 10. As result you need to rebuild our model run-time libraries before building you own model:
- download and unpack openM++ into any folder:
wget https://github.com/openmpp/main/releases/download/v1.8.6/openmpp_debian_20210415.tar.gz
tar xzf openmpp_debian_20210415.tar.gz
- rebuild model run-time libraries:
cd openmpp_debian_20210415/openm
wget https://github.com/openmpp/main/releases/download/v1.8.6/openmpp_debian_20210415.tar.gz
tar xzf openmpp_debian_20210415.tar.gz
You can use any of test models makefile, except of modelOne, as starting point to develop your own model. Below we are using NewCaseBased model as example.
To build and run debug version of the model use desktop (non-MPI) version of openM++:
- check your g++ --version:
g++ (Debian 8.3.0-6) 8.3.0
g++ (Ubuntu 9.3.0-10ubuntu2) 9.3.0
g++ (GCC) 8.3.1 20191121 (Red Hat 8.3.1-5)
- download and unpack openM++
wget https://github.com/openmpp/main/releases/download/v1.8.3/openmpp_debian_20210304.tar.gz
tar xzf openmpp_debian_20210304.tar.gz
- build debug version of NewCaseBased model and "publish" it ("publish" do create NewCaseBased.sqlite database with default input data set)
cd openmpp_debian_20210304/models/NewCaseBased/
make all publish
- run the model
cd ompp-linux/bin
./NewCaseBasedD
2017-06-06 19:59:12.0429 NewCaseBased
2017-06-06 19:59:12.0449 Run: 103
2017-06-06 19:59:12.0449 Get fixed and missing parameters
2017-06-06 19:59:12.0449 Get scenario parameters
2017-06-06 19:59:12.0450 Sub-value 0
2017-06-06 19:59:12.0450 compute derived parameters
2017-06-06 19:59:12.0450 Initialize invariant entity data
2017-06-06 19:59:12.0450 Member=0 simulation progress=0%
..........
2017-06-06 19:59:12.0505 member=0 write output tables - finish
2017-06-06 19:59:12.0508 Writing Output Tables Expressions
2017-06-06 19:59:12.0520 Done.
Make executable, "publish" and run NewCaseBased test model:
cd openmpp_debian_20210304/models/NewCaseBased/
make RELEASE=1 clean-all
make RELEASE=1 all publish
cd ompp-linux/bin
./NewCaseBased
Make executables, "publish" (create model.sqlite database file) and run all test models:
cd openmpp_debian_20210304/models/
make RELEASE=1 clean-all
make RELEASE=1 all publish run publish-all
results are in openmpp_debian_20210304/models/bin
directory
To keep your model code separate from openM++ release folder you will need to set OM_ROOT
environmenmt variable.
For example if model is in $HOME/my-models/BestModel
then you can build it as:
cd my-models/BestModel
OM_ROOT=openmpp_debian_20210304 make all publish run
Or edit $HOME/my-models/BestModel/makefile
to set OM_ROOT
:
ifndef OM_ROOT
OM_ROOT = $(HOME)/openmpp_debian_20210304
endif
Or add export OM_ROOT=$HOME/openmpp_debian_20210304
into your .bash_profile
Make sure you have MPI installed and configured.
For example, on RedHat (CentOS) you may need to load MPI module: module load mpi/openmpi-x86_64
- download and unpack cluster version of openM++, i.e.:
wget https://github.com/openmpp/main/releases/download/v1.8.3/openmpp_debian_mpi_20210304.tar.gz
tar xzf openmpp_debian_mpi_20210304.tar.gz
please notice name of cluster version archive has mpi in it, i.e. openmpp_debian_mpi_20210304.tar.gz
- make executable and "publish" (create model.sqlite database file) of NewCaseBased test model:
cd openmpp_debian_mpi_20210304/models/NewCaseBased/
make RELEASE=1 OM_MSG_USE=MPI all publish
- run 3 instances of NewCaseBased on 3 hosts to compute 16 subsamples using 4 threads
cd ompp-linux/bin
mpirun -n 3 -H omm,om1,om2 NewCaseBased_mpi -OpenM.Subvalues 16 -OpenM.Threads 4
2017-06-06 20:15:12.0050 NewCaseBased
2017-06-06 20:15:12.0173 NewCaseBased
2017-06-06 20:15:12.0200 NewCaseBased
2017-06-06 20:15:13.0148 Parallel run of 3 modeling processes, 4 thread(s) each
2017-06-06 20:15:13.0162 Run: 102
2017-06-06 20:15:13.0163 Get fixed and missing parameters
2017-06-06 20:15:13.0163 Get scenario parameters
2017-06-06 20:15:13.0164 compute derived parameters
2017-06-06 20:15:13.0164 Initialize invariant entity data
2017-06-06 20:15:13.0161 Run: 102
..........
2017-06-06 20:15:13.0224 member=0 write output tables - finish
2017-06-06 20:15:13.0354 Done.
2017-06-06 20:15:13.0352 Done.
2017-06-06 20:15:13.0353 Done.
You can use any of test models makefile, except of modelOne, as starting point to develop your own model.
- Windows: Quick Start for Model Users
- Windows: Quick Start for Model Developers
- Linux: Quick Start for Model Users
- Linux: Quick Start for Model Developers
- MacOS: Quick Start for Model Users
- MacOS: Quick Start for Model Developers
- Model Run: How to Run the Model
- MIT License, Copyright and Contribution
- Model Code: Programming a model
- Windows: Create and Debug Models
- Linux: Create and Debug Models
- MacOS: Create and Debug Models
- MacOS: Create and Debug Models using Xcode
- Modgen: Convert case-based model to openM++
- Modgen: Convert time-based model to openM++
- Modgen: Convert Modgen models and usage of C++ in openM++ code
- Model Localization: Translation of model messages
- How To: Set Model Parameters and Get Results
- Model Run: How model finds input parameters
- Model Output Expressions
- Model Run Options and ini-file
- OpenM++ Compiler (omc) Run Options
- OpenM++ ini-file format
- UI: How to start user interface
- UI: openM++ user interface
- UI: Create new or edit scenario
- UI: Upload input scenario or parameters
- UI: Run the Model
- UI: Use ini-files or CSV parameter files
- UI: Compare model run results
- UI: Aggregate and Compare Microdata
- UI: Filter run results by value
- UI: Disk space usage and cleanup
- UI Localization: Translation of openM++
- Authored Model Documentation
- Built-in Attributes
- Censor Event Time
- Create Import Set
- Derived Tables
- Entity Attributes in C++
- Entity Function Hooks
- Entity Member Packing
- Entity Tables
- Enumerations
- Events
- Event Trace
- External Names
- Generated Model Documentation
- Groups
- Illustrative Model
Align1
- Lifecycle Attributes
- Local Random Streams
- Memory Use
- Microdata Output
- Model Code
- Model Documentation
- Model Languages
- Model Localization
- Model Metrics Report
- Model Resource Use
- Model Symbols
- Parameter and Table Display and Content
- Population Size and Scaling
- Screened Tables
- Symbol Labels and Notes
- Tables
- Test Models
- Time-like and Event-like Attributes
- Use Modules
- Weighted Tabulation
- File-based Parameter Values
- Oms: openM++ web-service
- Oms: openM++ web-service API
- Oms: How to prepare model input parameters
- Oms: Cloud and model runs queue
- Use R to save output table into CSV file
- Use R to save output table into Excel
- Run model from R: simple loop in cloud
- Run RiskPaths model from R: advanced run in cloud
- Run RiskPaths model in cloud from local PC
- Run model from R and save results in CSV file
- Run model from R: simple loop over model parameter
- Run RiskPaths model from R: advanced parameters scaling
- Run model from Python: simple loop over model parameter
- Run RiskPaths model from Python: advanced parameters scaling
- Windows: Use Docker to get latest version of OpenM++
- Linux: Use Docker to get latest version of OpenM++
- RedHat 8: Use Docker to get latest version of OpenM++
- Quick Start for OpenM++ Developers
- Setup Development Environment
- 2018, June: OpenM++ HPC cluster: Test Lab
- Development Notes: Defines, UTF-8, Databases, etc.
- 2012, December: OpenM++ Design
- 2012, December: OpenM++ Model Architecture, December 2012
- 2012, December: Roadmap, Phase 1
- 2013, May: Prototype version
- 2013, September: Alpha version
- 2014, March: Project Status, Phase 1 completed
- 2016, December: Task List
- 2017, January: Design Notes. Subsample As Parameter problem. Completed
GET Model Metadata
- GET model list
- GET model list including text (description and notes)
- GET model definition metadata
- GET model metadata including text (description and notes)
- GET model metadata including text in all languages
GET Model Extras
GET Model Run results metadata
- GET list of model runs
- GET list of model runs including text (description and notes)
- GET status of model run
- GET status of model run list
- GET status of first model run
- GET status of last model run
- GET status of last completed model run
- GET model run metadata and status
- GET model run including text (description and notes)
- GET model run including text in all languages
GET Model Workset metadata: set of input parameters
- GET list of model worksets
- GET list of model worksets including text (description and notes)
- GET workset status
- GET model default workset status
- GET workset including text (description and notes)
- GET workset including text in all languages
Read Parameters, Output Tables or Microdata values
- Read parameter values from workset
- Read parameter values from workset (enum id's)
- Read parameter values from model run
- Read parameter values from model run (enum id's)
- Read output table values from model run
- Read output table values from model run (enum id's)
- Read output table calculated values from model run
- Read output table calculated values from model run (enum id's)
- Read output table values and compare model runs
- Read output table values and compare model runs (enun id's)
- Read microdata values from model run
- Read microdata values from model run (enum id's)
- Read aggregated microdata from model run
- Read aggregated microdata from model run (enum id's)
- Read microdata run comparison
- Read microdata run comparison (enum id's)
GET Parameters, Output Tables or Microdata values
- GET parameter values from workset
- GET parameter values from model run
- GET output table expression(s) from model run
- GET output table calculated expression(s) from model run
- GET output table values and compare model runs
- GET output table accumulator(s) from model run
- GET output table all accumulators from model run
- GET microdata values from model run
- GET aggregated microdata from model run
- GET microdata run comparison
GET Parameters, Output Tables or Microdata as CSV
- GET csv parameter values from workset
- GET csv parameter values from workset (enum id's)
- GET csv parameter values from model run
- GET csv parameter values from model run (enum id's)
- GET csv output table expressions from model run
- GET csv output table expressions from model run (enum id's)
- GET csv output table accumulators from model run
- GET csv output table accumulators from model run (enum id's)
- GET csv output table all accumulators from model run
- GET csv output table all accumulators from model run (enum id's)
- GET csv calculated table expressions from model run
- GET csv calculated table expressions from model run (enum id's)
- GET csv model runs comparison table expressions
- GET csv model runs comparison table expressions (enum id's)
- GET csv microdata values from model run
- GET csv microdata values from model run (enum id's)
- GET csv aggregated microdata from model run
- GET csv aggregated microdata from model run (enum id's)
- GET csv microdata run comparison
- GET csv microdata run comparison (enum id's)
GET Modeling Task metadata and task run history
- GET list of modeling tasks
- GET list of modeling tasks including text (description and notes)
- GET modeling task input worksets
- GET modeling task run history
- GET status of modeling task run
- GET status of modeling task run list
- GET status of modeling task first run
- GET status of modeling task last run
- GET status of modeling task last completed run
- GET modeling task including text (description and notes)
- GET modeling task text in all languages
Update Model Profile: set of key-value options
- PATCH create or replace profile
- DELETE profile
- POST create or replace profile option
- DELETE profile option
Update Model Workset: set of input parameters
- POST update workset read-only status
- PUT create new workset
- PUT create or replace workset
- PATCH create or merge workset
- DELETE workset
- POST delete multiple worksets
- DELETE parameter from workset
- PATCH update workset parameter values
- PATCH update workset parameter values (enum id's)
- PATCH update workset parameter(s) value notes
- PUT copy parameter from model run into workset
- PATCH merge parameter from model run into workset
- PUT copy parameter from workset to another
- PATCH merge parameter from workset to another
Update Model Runs
- PATCH update model run text (description and notes)
- DELETE model run
- POST delete model runs
- PATCH update run parameter(s) value notes
Update Modeling Tasks
Run Models: run models and monitor progress
Download model, model run results or input parameters
- GET download log file
- GET model download log files
- GET all download log files
- GET download files tree
- POST initiate entire model download
- POST initiate model run download
- POST initiate model workset download
- DELETE download files
- DELETE all download files
Upload model runs or worksets (input scenarios)
- GET upload log file
- GET all upload log files for the model
- GET all upload log files
- GET upload files tree
- POST initiate model run upload
- POST initiate workset upload
- DELETE upload files
- DELETE all upload files
Download and upload user files
- GET user files tree
- POST upload to user files
- PUT create user files folder
- DELETE file or folder from user files
- DELETE all user files
User: manage user settings
Model run jobs and service state
- GET service configuration
- GET job service state
- GET disk usage state
- POST refresh disk space usage info
- GET state of active model run job
- GET state of model run job from queue
- GET state of model run job from history
- PUT model run job into other queue position
- DELETE state of model run job from history
Administrative: manage web-service state
- POST a request to refresh models catalog
- POST a request to close models catalog
- POST a request to close model database
- POST a request to open database file
- POST a request to cleanup database file
- GET the list of database cleanup log(s)
- GET database cleanup log file(s)
- POST a request to pause model run queue
- POST a request to pause all model runs queue
- PUT a request to shutdown web-service