BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20141116T193000Z
DTEND:20141116T230000Z
LOCATION:393
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Multi-core processors, accelerators (GPGPUs/MIC) and high-performance=0Ainterconnects with RDMA are shaping the architecture for next generation exascale clusters. Efficient programming models to design applications on these systems are still evolving.  Partitioned Global Address Space (PGAS) models provide an attractive alternative to the traditional MPI model, owing to their easy to use shared memory abstractions and light-weight one-sided communication.  Hybrid MPI+PGAS models are gaining attention as a possible solution to programming exascale systems. They help MPI applications to take advantage of PGAS models, without paying the prohibitive cost of re-designing complete applications. They also enable hierarchical design of applications using different models to suite modern architectures. In this tutorial, we provide an overview of the research and development taking place and discuss associated opportunities and challenges as we head toward exascale. We start with an in-depth overview of modern system architectures with multi-core processors, accelerators and high-performance interconnects. We present an overview of UPC and OpenSHMEM. We introduce MPI+PGAS hybrid programming models and highlight their advantages and challenges.  We examine the challenges in designing high-performance UPC, OpenSHMEM and unified MPI+UPC/OpenSHMEM runtimes. We present application case-studies to demonstrate the productivity and performance of MPI+PGAS models, using the publicly available MVAPICH2-X software package.
SUMMARY:PGAS and Hybrid MPI+PGAS Programming Models on Modern HPC Clusters
PRIORITY:3
END:VEVENT
END:VCALENDAR