By Daniel C. Hyde, G. Michael Schneider, Christopher Nevison
Number of eighteen laboratory modules satisfies the necessity for hands-on experimentation with parallel computing on message-passing parallel desktops. Spiral. DLC: Parallel processing (Computer science).
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3. To learn how to compile, link, and run an Occam program on multiple Transputers. 4. To learn how to write up an experiment. Preparation Before Lab Read this module carefully, especially the five appendices. Assignment This lab consists of four exercises in which you will measure the CPU time to sort n integers. The first two exercises are traditional sequential algorithms. The third uses concurrency, while the last uses true parallelism. Exercise 1: Timing the Sequential Sort Modify a copy of your first sort program of the last lab to allow you to type in a value for n (1 < n <= 2000).
Then generate n integers to sort using the RAN function. B for an example program that generates pseudo random numbers. Add code to time only the sort. C on how to time Occam programs. Make sure no input from the keyboard or output to the screen is inside the section of code you are timing. Once your program is working, time for n = 20, 200, and 2000. Exercise 2: Timing the Sequential Sorts and Merge Using the second program of the last lab, modify the code to generate n/2 random numbers for each sort.
Add code to time only the sort. B on how to time Logical Systems C programs. Make sure no input from the keyboard or output to the screen is inside the section of code you are timing. Once your program is working, time for n = 20, 200, and 2000. Exercise 2: Timing the Sequential Sorts and Merge Using the second program of the last lab, modify the code to generate n/2 random numbers for each sort. Then time the two sorts and the sequential merge. Time for n = 20, 200, and 2000. 1 Processes for exercise 3 and 4 Exercise 3: Timing the Concurrent Sorts and Merge on One Transputer Modify a copy of the third program of the last lab (the one with the four concurrent processes) to type in a value ofn (1 < n <= 2000), generate n random values, and time the sort/merge code.
Laboratories for parallel computing by Daniel C. Hyde, G. Michael Schneider, Christopher Nevison