Sanjana, > This is to remind you of the above mail.
I apologize for not answering right away. I'll cc our mailing list to this response. > I am a second year undergraduate in Department of Computer Science and > Engineering in Indian Institute of Technology, Kanpur, India. > > I am interested in contributing to your organisation Ste||ar Project > especially for the project "Implement a Map/Reduce Framework". I have done > a course on Operating Systems and Computer Organisation and next semester > I'll be doing one on Computer Architecture. I am proficient in C and C++. First of all, the work we're doing is all open source, thus you don't have to ask anybody in order to participate. Map/Reduce is a venerable and proven technology which unfortunately has severe shortcomings. Google has recently announced that it moved away from it, replacing it with dataflow techniques. Thus I'd suggest we look into applying dataflow like techniques for replacing Map/Reduce which also perfectly aligns with HPX. Would you be interested in such a topic instead? The main source for google's work is here: https://cloud.google.com/dataflow/, (the SDK is here: https://github.com/GoogleCloudPlatform/DataflowJavaSDK), a description of their programming model is here: https://cloud.google.com/dataflow/model/programming-model). But all of this is really just one possible way of looking into applying dataflow techniques to distributed computing, it would require some changes to be usable with HPX. For some high level introduction to HPX you might want to read these papers: http://stellar.cct.lsu.edu/pubs/pgas14.pdf and http://stellar.cct.lsu.edu/pubs/executors_espm2_2015.pdf. HTH Regards Hartmut --------------- http://boost-spirit.com http://stellar.cct.lsu.edu _______________________________________________ hpx-users mailing list [email protected] https://mail.cct.lsu.edu/mailman/listinfo/hpx-users
