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This assignment is based on Programming Project 6.40 in Silbershatz. Implement the ProducerXConsumer program according to the instructions for Project 6.40 for both Linux and Win32 threads. (1) However BEFORE you add any synchronization to your code use sleep()/usleep() calls to force your code to produce as many different types of synchronization bugs as possible. Use the output produced by your program and for your Linux implementation only also use 'strace -f' to explain how and where in your code the synchronization bugs occur. Be sure to use the command line argument for strace - see the man pages for details on this Each of your threads should fprint out a line of output to stderr when it is first started, and again when each buffer of input/output is processed.
Submit code and annotated test output for these experiments explaining where the race conditions occur.
NEXT, modify your code by adding appropriate synchronization (mutex locks and/or signal semaphores and/or count semaphores) so that it always executes correctly. Use diff on Linux & comp on Windows to verify that the input & output files are identical by annotating your trace output clearly and concisely and using diff/comp to compare the contents of the input & output files. Explain the logic of how you synchronized your code in your design documentation by submitting high level pseudocode with semaphore synchronization (init, p(), v()) and an explanation of the logic that you used; (2) submit wellXcommented source code and annotated output (including strace listings) to demonstrate that your code is executing correctly, despite the sleep/usleep commands from the previous part.
Run your final program with 3 buffers (each of which is 13 bytes long), 6 producers, 3 consumers and a file that contains about 200 bytes; annotate & submit this output. (3) For the third part of this assignment, modify your synchronization so that a deadlock condition occurs, and document this situation by explaining in your design documentation how deadlock was produced in your code and how it can be avoided.
Symmetric multiprocessing To get maximum reliability and efficiency a mode of function called as symmetric multiprocessing is used. In essence, with SMP any program or threads
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