Thesis Defense - University of Houston
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Thesis Defense

In Partial Fulfillment of the Requirements for the Degree of Master of Science

Hadi Montakhabi

will defend his thesis

HPX-RTE: A Lightweight Runtime Environment For Open MPI


High performance computing systems are growing toward hundreds of thousands to million node machines, utilizing the computing power of billions of cores. Running parallel applications on such large machines efficiently will require optimized runtime environments that are scalable and resilient. Multi and many core chip architectures in large scale supercomputers pose several new challenges to designers of operating systems and runtime environments.

ParalleX is a general purpose parallel execution model aimin g to overcome the limitations imposed by the current hardware and the way we write applications today. High Performance ParalleX (HPX) is an experimental runtime system for ParalleX. The majority of scientific and commercial applications in HPC are written in MPI. In order to facilitate the transition from MPI model to ParalleX, there is a need for a compatibility mechansim between the two. Currently, this mechanism does not exist. The goal of this thesis is to provide a compatibility mechanism for MPI applications to use the HPX runtime system. This is achieved by developing a new runtime system for the Open MPI project, an open source implementation of MPI. We call this new runtime system HPX-RTE.

HPX-RTE is a new, light weight, and open source runtime system specifically designed for the emerging exascale computing environment. The system is designed relying on HPX project advanced features to allow for easy extension and transparent scalability. HPX-RTE provides ful l compatibility for current MPI applications to run on HPX runtime system. HPX-RTE provides an easy and simple path for transition from MPI to HPX. It also paves the way for future hybrid programming models such as HPX-MPI and integration of more features from HPX into Open MPI.

Date: Tuesday, December 1, 2015
Time: 11:00 AM
Place: PGH 550
Advisor: Dr. Edgar Gabriel

Faculty, students, and the general public are invited.