CS31 Lab 9: Parallel Game of Life

Due before 11:59pm, Wednesday Dec. 9

This lab should be done with your lab partner.

Lab 9 Goals:

Lab 9 Starting Point Code
  1. Both you and your partner should do:
    1. Get your Lab09 ssh-URL from the GitHub server for our class: CS31-f15
    2. On the CS system, cd into your cs31/labs subdirectory
      cd ~/cs31/labs
      
    3. Clone a local copy of your shared repo in your private cs31/labs subdirectory:
      git clone [your_Lab09_URL]
      
      Then cd into your Lab09-you-partner subdirectory.
    If all was successful, you should see the following files when you run ls:
    Makefile testedges.txt 
    
    If this didn't work, or for more detailed instructions see the the Using Git page.

  2. Next, you should copy over your Lab 6 sequential solution as the starting point for your parallel version of GOL (and you may want to copy over any .txt files you have for testing gol).
      /home/your_user_name/cs31/labs/Lab09-you-partner
      $ cp ../Lab06-you-partner/gol.c .
      $ cp ../Lab06-you-partner/*.txt .
      $ ls
      Makefile gol.c  and some .txt files
    
    With the 09 starting point code, I've given you a Makefile and some .txt input files. You should create more .txt input files to test larger sized and longer running threaded version, but use smaller ones (and printing command line options) to test for correctness.
  3. In your gol.c file make sure you have the following #includes:
    #include <stdio.h>
    #include <stdlib.h>
    #include <unistd.h>
    #include <pthread.h>
    

Project Details and Requirements
This lab is designed to give you some practice writing and debugging multithreaded Pthreads programs, and using synchronization primitives.

You will implement a parallel version of Conway's Game of Life using your sequential solution as a starting point for this lab. See the lab 6 assignment to remind yourself about the sequential version of the program, and about the rules of the game. You will evaluate the scalability of your implementation as you increase the problem size and the number of threads.

Your lab 9 solution will use the same method as lab 6 for initializing a dynamically allocated board from an input file given as a command line argument, and will have the same print or not-print option after every iteration.

You should begin lab 9 by first fixing any errors in your lab 6 sequential solution that you copied over into your labs/09 subdirectory.

Parallel Version

The parallel version should be structured as follows:
  1. The main thread should begin by initializing the game board in the same way as the sequential version. The gettimeofday timers in your code should not include this step but should include all other parts of the execution.
  2. After initializing the game board, the main thread spawns off worker threads that will play multiple rounds of game of life, each thread computing just its portion of cells of the new board each round. Grid cells are allocated to threads using either a row-wise or column-wise partitioning specified by a command line argument.
  3. If printing after each round is enabled, you should designate one thread to be the printing thread, and only that thread should do the printing after each round (otherwise the output can be interleaved in crazy ways).
  4. The main thread should print out the time of the gol computation part of the program before exiting (this time should NOT include the time to initialize the board from the input file, but should measure the rest of the computation).
You will need to think about where and how to synchronize thread actions to remove race-conditions. For example, you need to ensure that no thread starts the next round of play until all threads are done with the current round, otherwise threads will not read consistent values for the given round. If printing is enabled, you need to ensure that the printing thread prints a consistent version of the game board.

A run with no printing enabled should only printout the final timing result of the gettimeofday timer and should not include any calls to usleep in the run.

Command line arguments

Your program will use the two command line arguments from lab 6 and additionally add three new command line arguments to:
  1. specify the number of threads (the degree of parallelism)
  2. specify how to parallelize the GOL program (0: row-wise grid cell partioning, 1: column-wise grid cell partioning).
  3. specify if the per-thread board partioning should be printed out or not (0:don't print partitioning information, 1: print partitioning information)
$ ./gol
usage: ./gol infile.txt print[0:1] ntids partition[0:1] print_alloc[0:1]
Here are some example command lines:
# run with config values read from file1.txt, do not print the board after each round
# create 8 threads, use row-wise partitioning, print per-thread partitioning details:
./gol file1.txt  0  8  0  1     

# run with config file file2.txt, print the board after each round, create
# 15 threads, use column-wise partitioning, don't print per-thread partitioning:
./gol file2.txt  1  15  1  0   

The print per-thread board partioning command line option will help you debug the grid cell partioning scheme to ensure that you are correctly allocating rows or columns across the worker threads.

Your program should handle badly formed command lines and check for bad values entered (like a negative number of threads). It should print out an error message and exit for badly formed command lines and handle most bad input values similarly.

Partitioning

You will implement two different ways of parallelizing the computation: one partitions the board's rows across threads, the other partitions the board's columns across threads (i.e each thread computes the result for some number of rows or columns). As an example, suppose that the board is 8x8, and that there are 4 threads. Here is how the threads (with logical tids 0-3) would be assigned to computing elements of C using row and column partitioning:
row partitioning                        column partitioning
----------------                        ----------------
0 0 0 0 0 0 0 0                         0 0 1 1 2 2 3 3  
0 0 0 0 0 0 0 0                         0 0 1 1 2 2 3 3
1 1 1 1 1 1 1 1                         0 0 1 1 2 2 3 3
1 1 1 1 1 1 1 1                         0 0 1 1 2 2 3 3
2 2 2 2 2 2 2 2                         0 0 1 1 2 2 3 3
2 2 2 2 2 2 2 2                         0 0 1 1 2 2 3 3
3 3 3 3 3 3 3 3                         0 0 1 1 2 2 3 3
3 3 3 3 3 3 3 3                         0 0 1 1 2 2 3 3
When the number of threads does not evenly divide the dimension by which you are partitioning, divide the rows (or columns) up so that there is at most a difference of 1 assigned row (or column) between any two threads. For example, for an 8x7 board and 3 threads, you would partition rows and columns like this among the 3 threads (with tids 0-2):
row partitioning                        column partitioning
----------------                        ----------------
0 0 0 0 0 0 0                           0 0 0 1 1 2 2   
0 0 0 0 0 0 0                           0 0 0 1 1 2 2
0 0 0 0 0 0 0                           0 0 0 1 1 2 2 
1 1 1 1 1 1 1                           0 0 0 1 1 2 2 
1 1 1 1 1 1 1                           0 0 0 1 1 2 2 
1 1 1 1 1 1 1                           0 0 0 1 1 2 2 
2 2 2 2 2 2 2                           0 0 0 1 1 2 2 
2 2 2 2 2 2 2                           0 0 0 1 1 2 2 
In this partitioning scheme, a single row (or column) is assigned to exactly one thread; a single row (or column) is never split between two or more threads. Thus, in the above example threads 0 and 1 have one more row each of work to do than thread 2 in the row-wise partitioning, and thread 0 has one more column of work to do than threads 1 and 2 in the column-wise partitioning.

Printing Partitioning Information

When the 5th command line option is non-zero, your program should print thread partitioning information. Each thread should print:
  1. Its thread id (its logical one not its pthread_self value)
  2. Its start and end row index values
  3. The total number of rows it is allocated
  4. Its start and end column index values
  5. The total number of columns it is allocated
The threads will run in different orders, so you may see each thread's output in any order, which is fine. You can avoid some interleaving of individual threads output by calling fflush after printf:
printf("tid %d my values ...\n", mytid, ...);
fflush(stdout);   // force the printf output to be printed to the terminal
Here are some example runs of my program with different numbers of threads partitioning a 100x100 grid. The total number of rows and columns per thread are shown in parentheses (your output does not need to be identical to mine but must include all required parts):
# 9 threads, column-wise partitioning
% gol big 0 9 1 1
tid  0: rows:  0:99 (100) cols:  0:11 (12)
tid  1: rows:  0:99 (100) cols: 12:22 (11)
tid  2: rows:  0:99 (100) cols: 23:33 (11)
tid  4: rows:  0:99 (100) cols: 45:55 (11)
tid  3: rows:  0:99 (100) cols: 34:44 (11)
tid  5: rows:  0:99 (100) cols: 56:66 (11)
tid  6: rows:  0:99 (100) cols: 67:77 (11)
tid  7: rows:  0:99 (100) cols: 78:88 (11)
tid  8: rows:  0:99 (100) cols: 89:99 (11)

# 6 threads, row-wise partitioning
% gol big 0 6 0 1
tid  0: rows:  0:16 (17) cols:  0:99 (100)
tid  1: rows: 17:33 (17) cols:  0:99 (100)
tid  3: rows: 51:67 (17) cols:  0:99 (100)
tid  2: rows: 34:50 (17) cols:  0:99 (100)
tid  4: rows: 68:83 (16) cols:  0:99 (100)
tid  5: rows: 84:99 (16) cols:  0:99 (100)

# 17 threads, row-wise partitioning
% gol big 0 17 0 1
tid  0: rows:  0: 5 ( 6) cols:  0:99 (100)
tid  1: rows:  6:11 ( 6) cols:  0:99 (100)
tid  3: rows: 18:23 ( 6) cols:  0:99 (100)
tid  2: rows: 12:17 ( 6) cols:  0:99 (100)
tid  4: rows: 24:29 ( 6) cols:  0:99 (100)
tid  5: rows: 30:35 ( 6) cols:  0:99 (100)
tid  6: rows: 36:41 ( 6) cols:  0:99 (100)
tid  7: rows: 42:47 ( 6) cols:  0:99 (100)
tid 10: rows: 60:65 ( 6) cols:  0:99 (100)
tid 11: rows: 66:71 ( 6) cols:  0:99 (100)
tid 12: rows: 72:77 ( 6) cols:  0:99 (100)
tid 13: rows: 78:83 ( 6) cols:  0:99 (100)
tid  8: rows: 48:53 ( 6) cols:  0:99 (100)
tid 15: rows: 90:94 ( 5) cols:  0:99 (100)
tid 14: rows: 84:89 ( 6) cols:  0:99 (100)
tid  9: rows: 54:59 ( 6) cols:  0:99 (100)
tid 16: rows: 95:99 ( 5) cols:  0:99 (100)
Note that for the 17 thread run there are enough threads to see "out of order" execution due to the exact scheduling of threads on the cpus.

Correctness

In addition to printing out per-thread board partitioning information to verify correct partioning, you should also ensure that your parallel version solves GOL correctly. To do this run your parallel version on some of the same input files as your sequential one with printing enabled. The results should be identical. For example, starting with the oscillator input file the start and end board should look like this (you would of course call system("clear") between each iteration):
$ ./gol oscillator.txt 1 4 0 0

start board:

- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - @ @ @ - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 

end board:

- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - @ - - - - - 
- - - - - @ - - - - - 
- - - - - @ - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 
- - - - - - - - - - - 

total time for 21 iterations of 11x11 is 5.493663 secs
If you see odd output, either your parallelization of GOL is incorrect, or you are missing synchronization, or both. You can remove the call to system("clear") to see the history of each round to help you debug incorrect GOL computation (of course run for a small number of iterations).

Additional Requirements

In addition to the parallelization and correctness requirements described above, you solution must:

Hints and Useful Utilities

For the pthread implementation:


Submit
Before the Due Date, one of you or your partner should push your solution to github from one of your local repos to the GitHub remote repo. (it doesn't hurt if you both push, but the last pushed version before the due date is the one we will grade, so be careful that you are pushing the version you want to submit for grading):

From one of your local repos (in your ~you/cs31/labs/Lab09-partner1-partner2 subdirectory)

git add gol.c
git add *.txt
git commit
git push

If that doesn't work, take a look at the "Troubleshooting" section of the Using git page.