Hi Aja, I think you should focus your proposal. As it stands right now, you will not be able to complete everything. I strongly advice to pull together some form of time plan on when you plan to have each part implemented, given the vast number of algorithms you want to implement, it would be great if you can in addition put in some references to already existing solutions.
Please work on focusing your proposal. On Samstag, 18. März 2017 15:20:28 CET Ajai George wrote: > Hello, > > I am Ajai V George, I had previously expressed my interest in doing a GSoC > project with HPX. For the past week I was going through the hpx > documentation and tutorial. I have been testing out examples and trying to > write my own applications. I have also looked through the relevant codebase > needed to resolve issues #1141 and #1338. I also read through the two > papers on ParalleX for understanding the philosophy behind HPX. I believe > that I can definitely complete this project and continue contributing > further. > > Please have a look at my GSoC application and help me make it better. Here > is a link > <https://docs.google.com/document/d/1HVHUxlbknKjGroO4SWoLrJ8T-MljpBSohej8QKT > BieY/edit?usp=sharing> to it. > > Regards, > > Ajai V George > > On Mon, Mar 13, 2017 at 2:21 AM, Ajai George <[email protected]> > > wrote: > > Hello, > > > > I am Ajai V George from BITS Pilani, Goa Campus, India. My major is > > Electrical and Electronics Engineering. I currently work with Professor > > Santonu Sarkar from Centre for High Performance and Dependable Systems > > (Department of Computer Science and Information Systems). My project is > > Building 2D Algorithms with shared memory in Thrust which is a CUDA > > library. I am implementing Berkeley Structured Grid Dwarf by extending > > Thrust. > > > > Due to this project, I have significant experience with CUDA and with > > implementing STL like data structures in CUDA. I have created a block_2d > > data > > structure for Thrust for 2d data storage. I created a Thrust and thus STL > > compatible iterator for this. I also created an abstraction layer for > > accessing windows (as described in structured grid dwarf) within this > > data structure and an accompanying iterator which lazily generates these > > windows. I have created highly optimized for_each, transform, reduce, and > > transform_reduce functions for both the thrust 1D device vector and my > > block_2d data structure. These algorithms use shared memory efficiently > > with proper memory access coalescence and no shared memory bank > > conflicts. The reduction algorithm also uses a highly optimized tree > > based approach. I have also created this framework such that it can be > > extended to be used with cuFFT and cuBLAS libraries easily. > > > > Due to the above background I believe, I can work on the Parallel > > Algorithms for HPX project for GSoC 2017, specifically on extending > > algorithms like scan, reduce, transform, for_each, fill, etc to work with > > hpx::vector. I have already cloned the repo and have built hpx and am > > currently looking through the source code to see what would be impacted by > > the project and what changes would be required. > > > > I request help from the community in crafting my proposal, and in > > understanding hpx codebase. > > > > Regards, > > > > Ajai V George _______________________________________________ hpx-users mailing list [email protected] https://mail.cct.lsu.edu/mailman/listinfo/hpx-users
