SCALAble SimulaTION - ScalaTion

Papers | Scaladoc

Welcome to ScalaTion, the Scala-based system for Simulation, Optimization and Analytics.

This system, coded in Scala, supports multi-paradigm simulation modeling including 'tableau', 'event', 'process', 'dynamics', 'dynamics_pde', 'activity' and 'state' oriented models.

Scala is a modern object-oriented, functional programming language that is well-suited for developing simulation engines. It is in the Java family of languages and can call Java code. The inclusion of advanced and functional programming capabilities, makes the code much more concise than Java. ScalaTion also supports optimization and analytics as they nowadays go hand-in-hand with simulation modeling. Some of the algorithms come in both sequential and parallel versions.

The ScalaTion 2.0 version defines multiple .par subpackages that contain parallel versions of sequential algorithms. Future directions include completing the 'scala3d' and 'physics' packages.

Please read the LICENSE file (an MIT style license).

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Installation Instructions

Version 2.0 Requires: Scala 3.6.4 and Java 21 (or from Open JDK Archive)
https://www.scala-sbt.org/1.x/docs/Hello.html Recommended: SBT: sbt
Getting started: sbt Hello, World

1. Git clone the repository

$ git clone https://github.com/scalation/scalation_2.0.git

2. To build all the modules, change into the ScalaTion base directory and run sbt

$ cd scalation_2.0
$ sbt compile

3. To compile code or run apps, enter sbt and type compile, runMain or exit

$ sbt
> compile
> runMain scalation.modeling.simpleRegressionTest
> runMain scalation.modeling.regressionTest
> exit

The compile command is optional, since runMain will automatically compile if need be.

ScalaTion is set up to use the Simple Build Tool sbt. ScalaTion 2.0 uses the following build specification file:

1. Build Specification: build.sbt,

Source packages are in the src/main/scala directory, and documentation files are in the doc/api directory. Unmanaged jar files are stored in a common library lib directory, where_is_jar.txt. Data file input, output or analytics are stored in subdirectories of data, while database files are stored in store.

4. To develop projects that use ScalaTion that are outside ScalaTion do the following

$ cd your_project_dir
$ sbt new sbt/scala-seed.g8
$ cd hello
$ mkdir lib
copy jar files from lib
$ cd src/main/scala/example
$ vim Hello.scala

The second time you do this, you will want to use a more appropriate name than hello.

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To develop using an Integrated Development Environment (IDE) [IntelliJ]:

1. IntelliJ IDEA
2. Scala Plugin

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Papers

1. John A. Miller, Jun Han and Maria Hybinette, "Using Domain Specific Languages for Modeling and Simulation: ScalaTion as a Case Study," Proceedings of the 2010 ACM/IEEE Winter Simulation Conference (WSC'10), Baltimore, Maryland (December 2010) pp. 741-752.

2. Michael E. Cotterell, John A. Miller, Tom Horton, "Unicode in Domain-Specific Programming Languages for Modeling & Simulation: ScalaTion as a Case Study," Arxiv preprint arXiv:1112.175 (December 2011) pp. 1-10.

3. Michael E. Cotterell, John A. Miller, Jun Han and Tom Horton, "Extending ScalaTion, a Domain-Specific Language for Modeling & Simulation, for Simulation Optimization," Proceedings of the AlaSim International Modeling and Simulation Conference & Exhibition (AlaSim'12), Huntsville, Alabama (May 2012) pp. 1-1.

4. Yung Long Li, "Evaluation of Parallel Implementations of Dense and Sparse Matrices for the ScalaTion Library," Technical Report, University of Georgia (December 2012) pp. 1-60.

5. John A. Miller, Michael E. Cotterell and Stephen J. Buckley, "Supporting a Modeling Continuum in ScalaTion: From Predictive Analytics to Simulation Modeling," Proceedings of the 2013 ACM/IEEE Winter Simulation Conference (WSC'13), Washington, DC (December 2013) pp. 1191-1202.

6. Matthew Saltz, Ayushi Jain, Abhishek Kothari, Arash Fard, John A. Miller, and Lakshmish Ramaswamy, "DualIso: An Algorithm for Subgraph Pattern Matching on Very Large Labeled Graphs," Proceedings of the 3rd IEEE International Congress on Big Data (BigData'14), Anchorage, Alaska (June-July 2014) pp. 498-505.
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