Thursday, July 17, 2008

Parallel Computing with MPI - Roundup

Here's a roundup of the topics discussed on parallel computing with MPI. This was illustrated using the 2D heat equation, MPICH2, and Microsoft Visual Studio.
  1. Introducing the Heat Equation
  2. Discretization of the Heat Equation
  3. Stability Analysis and the Courant-Friedrichs-Lewy Criterion
  4. Programming the Heat Equation in C using Visual Studio
  5. MPICH2 and Visual Studio
  6. Parallel Computing in a Nutshell
  7. Measuring Parallel Performance
  8. Essential Ingredients of Message Passing
  9. MPI Warmup
  10. Parallelizing the Heat Equation

Cite as:
Saad, T. "Parallel Computing with MPI - Roundup". Weblog entry from Please Make A Note. http://pleasemakeanote.blogspot.com/2008/06/parallel-computing-with-mpi-roundup.html

Posted by yNot at 1:10 AM
Labels: , , ,

7 comments:

  1. AnonymousAugust 6, 2008 at 4:27 AM

    I read your post on parallel computing, it was very useful. Thanks.

    ReplyDelete
  2. Candace (Kan-DAY-see)November 12, 2008 at 6:44 PM

    Have you released Part X yet?

    ReplyDelete
  3. AnonymousMay 31, 2010 at 4:41 AM

    can you release Part 10 please?
    thanks

    ReplyDelete
  4. CharlesJuly 6, 2010 at 11:19 AM

    How do you put LaTeX into your blogger posts?

    ReplyDelete
  5. yNotJuly 6, 2010 at 11:20 AM

    I'll post that shortly

    ReplyDelete
  6. Alexandru BlidaruJuly 13, 2010 at 2:05 PM

    Hey, I was wondering if you had any idea of an ETA on part X of this series. As a high school intern, i found it really helpful, as I am writing some simulations for a cluster. I would really like to see the MPI implementation of a more complicated program like the BioHeat Equation solver.

    ReplyDelete
  7. yNotJuly 14, 2010 at 10:40 PM

    Glad you found these tutorials helpful. I will post the heat equation on July 14, 2010. You should be able to easily extend this to the bioheat equation. I don't know the specifics of your model, but with an explicit time marching scheme, you merely need to calculate the right hand side at the previous time step. I'd suggest that you first program your solver sequentially, validate your results, and then attempt to parallelize it.

    ReplyDelete

Subscribe to: Post Comments (Atom)