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2017 GTC San Jose

L7107 - Kokkos, Manycore Performance Portability Made Easy for C++ HPC Applications

Session Speakers
Session Description

The Kokkos C++ library enables development of HPC scientific applications that are performance portable across disparate manycore architectures such as NVIDIA?Kepler?, AMD Fusion, and Intel Xeon Phi. Kokkos leverages the NVIDIA CUDA?8.0 device lambda capability to provide a highly intuitive and easy to use parallel programming model. Kokkos simplifies data management for heterogeneous memory (CPU, GPU, UVM, etc.) through a unique polymorphic multidimensional array interface. View polymorphism includes mutable multidimensional layout, transparent overloads for atomic operations, and simplified access to GPU texture hardware. Kokkos advanced features culminate in portable team parallelism that performantly maps onto CUDA grids, blocks, and shared memory. Prerequisites: Familiarity with C++ including using templated classes and lambdas is required.


Additional Session Information
Intermediate
Instructor-Led Lab
HPC and Supercomputing Tools and Libraries
General
2 hours
Session Schedule