Hi Aditya, first, we can only see the final submission after the deadline. Second, you can not change the final submission anymore.
Best, Patrick Aditya <[email protected]> schrieb am Mo., 3. Apr. 2017, 04:30: > Hello Zahra and Kaiser, > > I have shared the final proposal with STE||AR Group through the GSoC > website. I hope you look at it and provide me with feedback if you have > time so that I can change it accordingly. > > Thanks a lot for the support. > > Regards, > Aditya > > > > > On Sun, Apr 2, 2017 at 8:12 PM, Zahra Khatami <[email protected]> > wrote: > > Hi Aditya, > > Thank you for your interest in the machine learning project. As Dr. Kaiser > explained, a compiler gathers static information for ML, then ML will > select the parameters, such as chunk sizes, for HPX's techniques, such as > loop. > We have worked on this project since a couple of months ago, and so far we > have got interesting results from our implementation. > Our focus in the Summer is to implement our technique on a distributed > applications. > So if you have a background in ML and distributed computing, it would be > enough to work on this topic. > I am pretty sure that this phase will result in a conference paper as its > new and super interesting ;) > So if you are interested in this project, go ahead and write your proposal > before its deadline. > > > > Best Regards, > > *Zahra Khatami* | PhD Student > Center for Computation & Technology (CCT) > School of Electrical Engineering & Computer Science > Louisiana State University > 2027 Digital Media Center (DMC) > Baton Rouge, LA 70803 > > > On Sun, Apr 2, 2017 at 7:04 AM, Hartmut Kaiser <[email protected]> > wrote: > > Hey Aditya, > > > It would be great if some of you could guide me through the project > > selection phase so that I can make my proposal as soon as possible and > get > > it reviewed too. > > The machine learning project aims at using ML techniques to select runtime > parameters based on information collected at compile time. For instance in > order to decide whether to parallelize a particular loop the compiler looks > at the loop body and extracts certain features, like the number of > operations or the number of conditionals etc. It conveys this information > to the runtime system through generated code. The runtime adds a couple of > dynamic parameters like number of requested iterations and feeds this into > a ML model to decide whether to run the loop in parallel or not. We would > like to support this with a way for the user to be able to automatically > train the ML model on his own code. > > I can't say anything about the Lustre backend, except that Lustre is a > high-performance file system which we would like to be able to directly > talk to from HPX. If you don't know what Lustre is this is not for you. > > All to All communications is a nice project, actually. In HPX we sorely > need to implement a set of global communication patterns like broadcast, > allgather, alltoall etc. All of this is well known (see MPI) except that we > would like to adapt those to the asynchronous nature of HPX. > > HTH > Regards Hartmut > --------------- > http://boost-spirit.com > http://stellar.cct.lsu.edu > > > > > > Regards, > > Aditya > > > > > > > > On Sun, Apr 2, 2017 at 5:21 AM, Aditya <[email protected]> wrote: > > Hello again, > > > > It would be great if someone shed light on the below listed projects too > > > > 1. Applying Machine Learning Techniques on HPX Parallel Algorithms > > 2. Adding Lustre backend to hpxio > > 3. All to All Communications > > > > I believe I will be suitable for projects 2 and 3 (above). As part of my > > undergrad thesis (mentioned in the earlier email) I worked with Lustre > > briefly (we decided, lustre was an overkill for our scenario as we'd have > > to re organize data among nodes even after the parallel read). I have > > worked with MPI on several projects (my thesis and projects in the > > parallel computing course) and have a basic understanding of all to all > > communications work. > > > > If someone could explain what would be involved in project 1, it'd be > > great. > > > > Also, please let me know what is expected of the student in projects 2 > and > > 3. > > > > Thanks again, > > Aditya > > > > > > > > > _______________________________________________ > hpx-users mailing list > [email protected] > https://mail.cct.lsu.edu/mailman/listinfo/hpx-users >
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