Any info on 1) building for CUDA and 2) with the PGI compiler suite

Member Site Forums Rosetta 3 Rosetta 3 – Build/Install Any info on 1) building for CUDA and 2) with the PGI compiler suite

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    • #1332
      Anonymous

        In looking to try out a build of Rosetta so that a researcher in another
        department can try it out on a large memory resource we have here, I
        noticed, because I ended up looking at this file, that there’s a stanza
        in

        tools/build/basic.settings

        that appears to allow for compilation against a CUDA toolkit.

        As I am not a Rosetta user but an implementer, I was wondering if there’s
        a simple test/demo that I could try out, if I build such a variant, which
        would be an Ubuntu 10.10 (GCC 445) with NVIDIA_GPU_Computing_SDK-4.0.

        Just to say that I grabbed the full 3.4 bundle but there doesn’t appear to
        be a demo with anything akin to CUDA in the demo directory names, nor has
        a search within the forums for “CUDA” turned up anything useful either.

        On a second resource I look after, I have access to the PGI compiler suite
        and was wondering if anyone has tried to compile Rosetta using that?

        Presumably it is “just a matter of adding a stanza for pgiCC and choosing
        the optimisation flags”, for some value of “optimisation flags”?

        Any pointers welcome,

        Kevin M. Buckley
        ECS, VUW, NZ.

      • #7372
        Anonymous

          We don’t have much, or maybe any, public GPU compatibility. There are a few algorithms ported to GPU (Luki ported sc, which is a shape complementarity algorithm; I don’t know if that’s in 3.4) but 99% of Rosetta is still CPU-only. So, yes, you can compile in GPU support, but it only has any effect in one very narrow case. Further GPU work is under development.

          I am not aware of anybody working with PGI compilers (it would be in tools/build). Your interpretation of what is necessary is correct. I believe I have access to PGI compilers so if you create a solution I can minimally test it and put it in the codebase. GCC is eternally popular for production work, with some use of ICC. A lot of us use clang for development but not production (which may indicate lack of clang on the supercomputers, not a deficiency of clang).

        • #7375
          Anonymous

            > We don’t have much, or maybe any, public GPU compatibility.

            OK. Just thought to ask

            > … not aware of anybody working with PGI compilers … if you create a solution
            > I can minimally test it and put it in the codebase.

            OK. We’ll see where we can take it

            Kevin M. Buckley
            ECS, VUW, NZ.

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