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Game of Life implemented in Java using virtual threads and communicating sequential processes

Game of Life CSP

Game of Life CSP is a Java implementation of Conway's Game of Life using communicating sequential processes (CSP).

This project adds to the original virtual threads based implementation, from which it has been forked, the possibility to also run it on native threads, mostly with the purpose of measuring the scheduling overhead introduced by the management of a large number of virtual threads.

Virtual Threads implementation

Each grid cell is an independent process and all cell communication occurs via channels.

It's built atop virtual threads, defined in JDK Enhancement Proposal (JEP) 425.

The virtual threads feature is part of Project Loom.

Prior to Project Loom and virtual threads, CSP style programming with a so large number of threads simply wasn't available in Java.

Native Threads implementation

In this second version it uses an executors with a fixed number of native threads equal to the number of available cores of the running machine.

The CSP style of the implementation is left unchanged, but the cells (and the computation of their state) are simply splitted equally on n-1 threads, while the n-th thread is dedicated to the coordination of other threads and to publish the result on the user interface.

Channels

Build

A Project Loom or OpenJDK 19 early access build is required at the time of writing.


Build with mvn:

mvn compile

Run:

java --enable-preview -cp target/classes/ gameoflife.Main

Compile with javac:

javac --enable-preview -source 19 src/main/java/gameoflife/*.java -d build/

Run:

java --enable-preview -cp build/ gameoflife.Main

Gosper Glider Gun

Command Line Arguments

Command line arguments are optional.

java --enable-preview -cp target/classes/ gameoflife.Main patterns/spaceship.txt 1800 1200 20 50 50 5 5 false true
  1. Pattern text file, ex. patterns/spaceship.txt
  2. Maximum window width, ex. 1800
  3. Maximum window height, ex. 1200
  4. Game of Life simulation period milliseconds, ex. 25
  5. Left padding columns, ex. 50
  6. Top padding rows, ex. 50
  7. Right padding columns, ex. 5
  8. Bottom padding rows, ex. 5
  9. Rotate boolean flag, ex. false
  10. Toroidal boolean flag, ex. false
  11. Log rate boolean flag, ex. true
  12. Use virtual threads, ex. true
  13. Use a thread per cell (otherwise a thread per core), ex. true

Patterns

The patterns directory contains text-encoded patters taken from Life Lexicon located at: https://people.sc.fsu.edu/~jburkardt/m_src/exm/lexicon.txt

The lexicon is copyright (C) Stephen Silver, 1997-2005.

The full list of contributors can be found under the credits section of the website.

Processes

Every cell runs in its own process, defined in Cell.java. Cell processes communicate with each other via channels.

The simulation runs in its own process, defined in GameOfLife.java.

Finally, the viewer runs in its own process, defined in Main.java.

  • Cell processes: R * C
  • Simulation processes: 1
  • Viewer processes: 1
  • Total processes: R * C + 2

Channels

A pair of channels, one in each direction, exists for every pair of neighbor cells.

  • Vertical segments: (C - 1) * R
  • Horizontal segments: (R - 1) * C
  • Interior vertices: (R - 1) * (C - 1)
  • Total cell-to-cell channels: [2 * (C - 1) * R] + [2 * (R - 1) * C] + [4 * (R - 1) * (C - 1)]

Additionally, each cell has a channel for receiving a tick event and and a channel for emitting results after each simulation tick.

  • Tick channels: R * C
  • Result channels: R * C

Finally, a channel is used to communicate a full liveness matrix to the main application consumer.

  • Total channels: 2 * (C - 1) * R + 2 * (R - 1) * C + 4 * (R - 1) * (C - 1) + R * C * 2 + 1

Benchmark

The following command results in a grid of 50,000 cells (250 x 200):

That results in 50,002 virtual threads and 497,305 channels.

java --enable-preview -cp target/classes/ gameoflife.Main patterns/puffer_train.txt 1600 800 0 235 91 10 91 true true

It's a demonstration of the viability of virtual threads in a highly concurrent, computationally intensive application.

Puffer Train