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An algorithm collection for 2-dimensional floorplanning using strip packing (Min. H, given fixed W)

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2DStripPacking

Introduction

This is one part of the course assignment for HKUST-GZ MICS 6000I Physical Design Automation of Digital Systems. This project is alive, maintained by [email protected]. Any discussion or suggestion would be greatly appreciated!

In this repo, the shelf floorplanning and skyline floorplanning methods are implemented, together with an optional optimization with the Guillotine algorithm.

Environment

  • System Checking
    • Ubuntu OS: 20.04.5 LTS
    • Linux: 5.14.0-1054-oem
    • g++ 9.4.0
  • To install Gurobi on Linux
    # Gurobi Basics
    export GUROBI_HOME=<path-to-gurobi-home-directory>
    export PATH="${GUROBI_HOME}/bin:${PATH}"
    export LD_LIBRARY_PATH="${GUROBI_HOME}/lib:${LD_LIBRARY_PATH}"
    # For '#include "gurobi_c++.h"' in C++ source code
    export CPATH="${GUROBI_HOME}/include:${CPATH}"
    # License
    export GRB_LICENSE_FILE=<path-to-license-file-.lic>
  • Python packages (for visualization)
    • matplotlib 3.5.1
  • To enable #include <graphics.h> in C++ (poor visualization quality, Optional)
    1. sudo apt-get install build-essential
    2. sudo apt-get install libsdl-image1.2 libsdl-image1.2-dev guile-2.0 guile-2.0-dev libsdl1.2debian libart-2.0-dev libaudiofile-dev libdirectfb-dev libdirectfb-extra libfreetype6-dev libxext-dev x11proto-xext-dev libfreetype6 libaa1 libaa1-dev libslang2-dev libasound2 libasound2-dev
    3. sudo vim /etc/apt/sources.list, and paste the following sources
      deb http://us.archive.ubuntu.com/ubuntu/ xenial main universe
      deb-src http://us.archive.ubuntu.com/ubuntu/ xenial main universe
      
    4. sudo apt update
    5. sudo apt install libesd0-dev
    6. wget http://download.savannah.gnu.org/releases/libgraph/libgraph-1.0.2.tar.gz
    7. tar zxvf libgraph-1.0.2.tar.gz
    8. cd libgraph-1.0.2/
    9. CPPFLAGS="$CPPFLAGS $(pkg-config --cflags-only-I guile-2.0)" CFLAGS="$CFLAGS $(pkg-config --cflags-only-other guile-2.0)" LDFLAGS="$LDFLAGS $(pkg-config --libs guile-2.0)" ./configure
    10. make
    11. sudo make install
    12. sudo cp /usr/local/lib/libgraph.* /usr/lib

How to Run

  • To compile the C++ code:
    make
  • To run all the testcases one-and-for-all
    • python run_all.py is an integrated script calling the C++ executable repetitively
    • Note that we only run MILP for 10-block case in this script because others lead to timeout (>2 hours)
  • To generate floorplan for specific cases:
    ./floorplan ./testcase/50.txt 0 7000
    # 0 for MILP, 7000 means the program will terminate in 7000 seconds if not optimally solved yet
    
    # ./floorplan ./testcase/<testcase_name> <alg_type> <sub_alg_type> <sorting_type>, e.g.,
    ./floorplan ./testcase/500.txt 1 0 0
    • Standard output: the required floorplan report in terminal
    • Log file for visualization: *.log (without "verbose" keyword) in ./log folder
    • Detailed log (only for MILP): *.log with "verbose" keyword in ./log folder
  • To visualize all logs and save images in the directory ./img:
    python vis_all.py
  • To visualize certain log:
    python visualize.py ./log/<xxx>.log
    # output in base directory as "floorplan.png"
  • To see the best solutions under each algorithm:
    python find_best.py
    # standard output in the terminal for each testcase, and for each type of algorithm

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