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The objective of this practical work is learning how to use the different types of Linux IPC's (Inter-Process communication) present in a POSIX system. To accomplish this, the implemented system will distribute SAT (satisfyable or not) solving tasks among several processes.

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SAT - Solver

Requirements

The docker.sh bash script allows to build the docker image and run the container. The .env file is used for the purpose mentioned before.

For building the docker image and run the container:

chmod +x ./docker.sh
./docker.sh build
./docker.sh run
root@3d7b38678779:/code# 

Build the binary files

Once the container is running, the app can be compiled with the following command:

root@3d7b38678779:/code# make all
Solve successfully compiled
Slave successfully compiled
View successfully compiled

The binaries will be available inside the src folder.

Run the app from the container

The app can be run in two different ways.

Using pipes

root@3d7b38678779:/code/src# ./solve <path> | ./view 

Note: path represents all the relative paths to the .cnf files.

In background

First, open two terminals:

# Terminal 1
./docker.sh run
root@3d7b38678779:/code#
# Terminal 2
docker ps
# Copy the CONTAINER_ID whose NAME matches the CONTAINER_NAME defined in the .env file
docker exec -ti CONTAINER_ID bash
root@513e76963393:/code#

Now run the following commands:

# Terminal 1
root@3d7b38678779:/code/src# ./solve <path> &
<output>

# Terminal 2
root@513e76963393:/code#/src# ./view <output> 

Note: path represents all the relative paths to the .cnf files.

Results

In any case, when the execution of the application process finishes, a file called results.txt will be created with the results of the processed .cnf files. If the view process manages to connect before the application process does a shmClose() the same results will be displayed in standard output.

Final comments

The app employs minisat application to speed up the evaluation of a propositional logic formula. SAT solving problems are very complex. Given a formula in propositional logic, a SAT solver automatically determines whether the formula has a variable assignment that makes it true (i.e. is satisfiable).

The code was tested using the PVS-Studio and cppcheck tools. To see these results the user can run the following command:

root@3d7b38678779:/code/src# make check 

The results will be available inside the check folder in src.

To test the absence memory leaks and open files, tests were made with Valgrind and lsof

root@3d7b38678779:/code/src# valgrind --leak-check=full --show-leak-kinds=all --track-origins=yes -v ./solve <path> ./view 2> ./check/pipe.valgrind 

Note: path represents all the relative paths to the .cnf files.

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The objective of this practical work is learning how to use the different types of Linux IPC's (Inter-Process communication) present in a POSIX system. To accomplish this, the implemented system will distribute SAT (satisfyable or not) solving tasks among several processes.

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