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  • pbatzel
    Junior Member
    • Aug 2011
    • 5

    #1

    Large RAM Requirements and Clusters/Clouds

    Hello people of the forum, I'm new here and am hoping you all can help me with a hypothetical.

    Let's say I have access to a cluster, or even a cloud. I want to run genomic/transcriptomic assembly programs on this cluster/cloud. The problem is that I expect these programs (Velvet/Oases, Trinity, whatever else) to require large amounts of RAM, 100GB+, and the largest node on my cluster/cloud is only 32GB. Now besides switching to an MPI/Hadoop based assembly program (ABySS or whatnot) or writing my own, what are my viable options? Has anyone tried using a distributed operating system (MOSIX, Kerrighed, ...) with shared memory on a cluster/cloud? What about a virtual SMP? What else?

    Thanks for any help!
  • westerman
    Rick Westerman
    • Jun 2008
    • 1104

    #2
    pbatzel:
    I do not have an answer. Your problem and proposed solutions are complex thus you may not get an answer. But, since you are a new person to seqanswers, I do want to say hi and encourage you to not get disappointed with seqanswers if no one can help you out on this.

    Comment

    • pbatzel
      Junior Member
      • Aug 2011
      • 5

      #3
      @westerman:
      Thanks for the welcome! Sadly I know that this is a fairly complex problem (but maybe fairly common too?) and that the solutions I presented may be complex. What I'm really hoping for is someone to raise their hand and say "Hey, I've done that before!" and then I would know I'm not walking down a dead-end corridor. I'd love if someone had a simpler solution that didn't throw efficiency out the window, but I'm not expecting one.

      For anyone that's interested, after I posted this question I was referred to a pretty decent blog post that has some relevance to this problem, but doesn't offer a real solution:

      Spending $55k for a 512GB machine (Big-Ass Server™ or BAS™) can be a tough sell for a bioinformatics researcher to pitch to a department hea...

      Comment

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