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Hello everyone! I am one of the developers. I am more than happy to answer any questions.

• michaellosee 12y ago
  GPUs love hashing things, do you think ArrayFire would make that easy to do? I would LOVE to use the library to create an opensource GPU cracking program. Hashcat is amazing but is closed source. I am giddy with excitement at the prospect. Thanks!
  • pavanky 12y ago
    I am not sure how much ArrayFire can help with hashing. I need to read more to understand it better.
    • fla 12y ago
      mostly a matter of making bitwise & arithmetic operations in parallel over integers (shift, xor, add etc..)
      • pavanky 12y ago
        Ah in that case ArrayFire can certainly help!
• m_mueller 12y ago
  Hi! A few questions: - How do you deal with software that has been previously run with coarse grained parallelism, optimized for Multicore/Multinode x86? In my experience, GPGPU porting often leads to a tedious, mostly mechanical conversion from coarse grained to fine grained, which usually includes privatizing all your data manually in your parallel domains. - Can you do multinode / multi-GPU without wrapping everything in MPI? - Can ArrayFire also run on CPU clusters? - How do you deal with different storage orders? Up until now, GPUs often require a different storage order than CPUs, (wide vs. narrow vector processor) - and how does that factor into the last point? Sidenote: I've been dealing with above problems in a Fortran based research project and have created a preprocessor framework[1] to deal with it. [1]https://github.com/muellermichel/Hybrid-Fortran https://github.com/muellermichel/Hybrid-Fortran
• epsylon 12y ago
  Which libraries are your competitors and why would ArrayFire be better than these?