Parallel Functional ProgrammingDAT280 / DIT261, LP4 2016
Home | Schedule | Labs | Lectures | Exam | AboutFire | Forum | TimeEdit | Links
Parallel Functional ProgrammingDAT280 / DIT261, LP4 2016
Home | Schedule | Labs | Lectures | Exam | AboutFire | Forum | TimeEdit | Links
currently

Week 9(last week)
Monday, May 16 (13-15 in EB)
Lecture: "Data Parallel Programming"
  • Slides: slides.pdf
  • Thursday, May 19 (10-12 in EC)
    Guest Lecture: "General Purpose Computations on GPUs (Bo Joel Svensson, Chalmers)"
  • Slides: slides.pdf
  • Friday, May 20 (15-17 in EC)
    Lecture: "Data Parallel Programming II"
  • Slides: slides.pdf

  • Week 10(this week)
    Monday, May 23 (13-15 in EB)
    Lecture: "Databases in the New World"
  • Slides: slides.pdf
  • Thursday, May 26 (10-12 in EC)
    Lecture: "A Brief History of Time (in Riak) (Russell Brown, Basho)"
  • Slides: slides.pdf
  • Saturday, May 28 (08.30-12.30 in J-salar)
    Exam: Please read more about the final written exam here
    news

    Friday, May 20
    A GPU-instance on EC2 is now set up with CUDA and Obsidian. If you want to use it, send your preferred login name and your public SSH key to Markus (mararon at chalmers.se) and he will send you instructions for how to use the instance. By using the instance, we consider that you have promised to use the machine only for doing the lab, and not for anything illicit. If the instance starts to consume money in unexpected ways, or otherwise behaves worryingly, we will have to shut it down. Markus will also send instructions for how to set up your own GPU-instance (costing 0.65 dollars per hour) in a personal AWS account. If you need help in creating an SSH public key, consult these instructions.

    Thursday, May 19
    Lab E (GPU programming) is now available on the Labs page. Note that we have decided to make this lab optional, partly because quite a lot of earlier labs are still unfinished (and in some cases unmarked). We are quite sad about this choice, and would advise you to do and submit the lab if you possibly can. GPU programming is fun and addictive, and gives experience of programming a strange, very parallel architecture. So doing the lab and/or playing with Accelerate would be a good idea. More info. about GPU-instances in Amazon EC2 will follow, but we thought you would want to know of this change right away.

    Wednesday, May 4
    Lab D (Erlang map reduce) is now available on the Labs page.

    upcoming dates

    Thursday, May 26, at 23:59
    First deadline Lab E

    Saturday, May 28
    The final exam

    Thursday, Jun 2, at 23:59
    Final deadline Lab E