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Thursday, July 30 • 11:00am - 11:30am
Leveraging DiaGrid Hub for Interactively Generating and Running Parallel Programs

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Interactive Parallelization Tool (IPT) is a semi-automatic tool that can be used by domain experts and students for transforming certain classes of existing applications into multiple parallel variants. An end-user of IPT provides existing application and high-level specifications for parallelization as input. On the basis of the specifications provided by the end-user, IPT carries out the code changes in the given existing application to generate parallel variants that can be run on different High Performance Computing (HPC) platforms. The parallel programming paradigms that are currently supported by IPT are MPI, OpenMP, and CUDA. The supported base languages are C and C++. Though IPT is still under active development, it has been recently made available on a web-enabled platform, named DiaGrid Hub, with the support from the XSEDE Extended Collaborative Support Service (ECSS). While the main goal of IPT is to make parallel programming easy for its end-users, the main goal of DiaGrid Hub is to enable the research community with instant access to HPC and High Throughput Computing platforms through a user-friendly web-interface. By deploying IPT on DiaGrid Hub, our goal is to enable the end-users to generate parallel versions of their existing applications without having to install IPT locally. They can also immediately compile and run the generated applications on Purdue and XSEDE resources that are available through DiaGrid Hub. Hence, the collaborative project that is reported in this paper lowers the entry-barriers to parallel programming and the usage of the National CyberInfrastructure (NCI). In this paper, we present our ongoing work on deploying IPT over DiaGrid and testing the usability of IPT through a web-interface.

Thursday July 30, 2015 11:00am - 11:30am CDT
Majestic B

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