Hi all, I was wondering whether anyone could provide some direction as to the recommended approach to incorporating GPU-based execution within an HPX application, either in general or, preferably if possible, for how I (think I) want to use it-
Given a number of host systems (CPU), each possibly containing one or more GPGPUs. For the sake of simplicity, right now all of my GPUs are NVidia. The specific application I'm working on is a distributed optimizer implementing a global search algorithm (right now, I have implemented Differential Evolution). In its distributed form, it treats each node as a separate island with occasional migration. When run on separate SLURM / HPX (CPU-based) nodes, each node has a set of N trial parameter vectors. Each node iterates independently. When certain conditions are met, a node can initiate a migration of data from a logically-adjacent node. Given the feature sets of the latest versions of CUDA, I believe that it should be possible for me to treat each GPGPU as a node as well. I realize it won't be a native node via SLURM (as an Intel Phi node might be), but rather initialized in some other way after the application is initialized across the cluster). I've seen the HPXCL project repo, but it hasn't had any updates in more than 4 months. I've also seen at one time, though I cannot find right now, scattered bits of code around the internet with a couple different approaches. Finally, I am under the impression that work is being done on executors to provide this or related functionality. Given, I think, that this should be a reasonably common use-case, it might be helpful if some official tutorials are generated at some point to assist users with this. In the meanwhile, if anyone (and everyone) can provide some general direction or guidance on this, I would be greatly appreciative. I would, also, be very willing to try and provide some additional tutorials and user documentation for this application. Thank you and I would greatly appreciate any help that you can provide. Regards, Shmuel Levine
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