Introduction to Parallel Computing (CMSC416/CMSC818X)

Assignment 3: OpenMP

Due: Wednesday November 3, 2021 @ 11:59 PM Eastern Time

The purpose of this programming assignment is to gain experience in parallel programming on a cluster and OpenMP. You will start with a working serial program (quake.c) that models an earthquake, analyze its performance and then add OpenMP directives to create a parallel program.

The goal is to be systematic in figuring out how to parallelize this program. You can use one of three things: manually inserted timers, gprof, or HPCToolkit and/or Hatchet (that you used in Assignment 2) to figure out what parts of the program take the most time. From there you should examine the loops in the most important subroutines and figure out how to add OpenMP directives. The program will be run on a single compute node of the deepthought2 machine.

Using OpenMP

To compile OpenMP we will be using gcc version 8.4.0 (the default version on deepthought2, which you can get by doing module load gcc on the deepthought2 login node), which nicely has OpenMP support built in. In general, you can compile this assignment with:


        gcc -fopenmp -O2 -o quake quake.c -lm
        

The -fopenmp tells the compiler to, you guessed it, recognize OpenMP directives. -lm is required because our program uses the math library.

The environment variable OMP_NUM_THREADS sets the number of threads (and presumably processors) that will run the program. Set the value of this environment variable in the script you submit the job from. It defaults to using all available cores, and on a deepthought2 node that means 20.

Running the program

Quake reads its input file from standard input, and produces its output on standard output. Quake generates an output message periodically (every 30 of its simulation time steps), so you should be able to tell if it is making progress.

When the program runs correctly, all versions (serial or parallel) running the quake.in input, irrespective of the number of threads used, should output this at the 3840th timestep:
        Time step 3840
        5903: -3.98e+00 -4.62e+00 -6.76e+00
        16745: 2.45e-03 2.66e-02 -1.01e-01
        30169 nodes 151173 elems 3855 timesteps

This is the output for quake.in.short:
        Time step 30
        978: 8.01e-03 7.19e-03 8.41e-03
        3394: -3.69e-21 1.57e-20 -5.20e-20
        7294 nodes 35025 elems 34 timesteps

Since quake runs for a while on the quake.in input dataset for a small numbers of threads, quake.in.short is another input file that runs for much less time (you can use this for testing).

What to Submit

You must submit the following files and no other files:

  • A report that describes what you did, and identifies the code regions that consume the most time.
  • In same report, add the times to run it on the input file quake.in (for 1, 2, 4, 8 and 16 threads).
  • quake-omp.c: modified quake.c file with OpenMP directives.
  • A Makefile to compile quake-omp.c
You should put the code, Makefile and report in a single directory (named LastName-FirstName-assign3), compress it to .tar.gz (LastName-FirstName-assign3.tar.gz) and upload that to ELMS.

    double start, end; 

    start = omp_get_wtime(); 
    ... work to be timed ... 
    end = omp_get_wtime(); 

    printf("TIME %.5f s\n", end - start);
      

Tips

Grading

The project will be graded as follows:

Component Percentage
Runs correctly on 2 threads 20
Runs correctly on 8 threads 40
Performance with 2 threads 20
Performance with 8 threads 10
Writeup 10
NOTE: If your program does not run correctly, you do NOT get any points for performance/speedup.