Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Outlook in parallel computing

  1. Oct 22, 2011 #1

    I'm curious what is a general view on parallel computing? Is it something that's important only for science and computer graphics professionals or does it also have applications in business, etc. Are there any particular skills in parallel computing that employers are looking for, any degrees/certificates or specific knowledge that's in demand? Do you think there is a growing demand for people who know MPI?


  2. jcsd
  3. Oct 24, 2011 #2
    All new high performance computing is parallel computing.

    Any specific knowledge is "flavor of the month". Changes from month to month. However, the number of people that can do real time multithreading isn't that large.

    Like most computer things, the important knowledge tends to be platform general. Also there is a difference between people that can program with MPI, and people that can program MPI.
  4. Oct 24, 2011 #3


    User Avatar
    Science Advisor

    There are always applications for new techniques in computation.

    One interesting application is doing bitcoin mining. There is actually a distro that allows you to to bitcoin mining using your GPU, since GPU's are great to doing things in parallel, since they are designed that way (since you deal with textures with individual picture elements as well as vertices for 3D data that are all independent and can be processed in this way).

    I don't think you should study so called "MPI" in isolation. Just pick a domain, and an existing repository in that domain, and do something specific. It's the best way to get experience because it is 1) directly applicable to something that is tangible (at least in terms of results) and 2) It will contribute to your knowledge of that domain.

    If you are interested in surveying the parallel stuff without wanting to do anything specific, what I recommend you do is focus on the different types of computation and then think about parallelism in the context of these things.

    One way to identify these different paradigms is to be aware of the different types:


    Then on the hardware front, look at the different hardware architectures:


    [I'm sure you have seen the above link though :)]
Share this great discussion with others via Reddit, Google+, Twitter, or Facebook