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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20151116T193000Z
DTEND:20151116T230000Z
LOCATION:18D
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The Kokkos library enables applications and domain specific libraries/libraries to implement intra-node thread scalable algorithms that are performance portable across diverse manycore architectures.  Kokkos uses C++ template meta-programming, as opposed to compiler extensions or source-to-source translators, to map user code onto architecture-targeted mechanisms such as OpenMP, Pthreads, and CUDA.  Kokkos’ execution mapping inserts users’ parallel code bodies into well-defined parallel patterns and then uses an architecture-appropriate scheduling to execute the computation.  Kokkos’ data mapping implements polymorphic layout multidimensional arrays that are allocated in architecture-abstracted memory spaces with a layout (e.g., row-major, column-major, tiled) appropriate for that architecture.  By integrating execution and data mapping into a single programming model Kokkos eliminates the contemporary array-of-structures versus structure-of-arrays dilemma from user code.  Kokkos’ programming model consists of the following extensible abstractions: execution spaces where computations execute, execution policies for scheduling computations, parallel patterns, memory spaces where data is allocated, array layouts mapping multi-indices onto memory, and data access intent traits to portably map data accesses to architecture-specific mechanisms such as GPU texture cache.  Tutorial participants will learn Kokkos’ programming model through lectures, hands on exercises, and presented examples.
SUMMARY:Kokkos: Enabling Manycore Performance Portability for C++ Applications and Domain Specific Libraries/Languages
PRIORITY:3
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