Scalable Parallel Programming Using OpenACC for
Multicore, GPUs, and Manycore
Presenter
Event Type
Tutorial
Accelerators
GPU
Parallel Programming Languages, Libraries, Models
and Notations
TimeMonday, November 13th8:30am -
5pm
Location302
DescriptionYou will learn how modern supercomputers are organized
and how highly parallel nodes will affect the design of
your applications. Whether you use multicore, manycore,
or GPU-accelerated nodes, the same basic concepts apply
to your algorithm and data structure design: parallelism
management and data management. For parallelism
management, you will learn what kinds of parallelism can
be productively exploited on different architectures.
You will also learn how to write programs that use
parallelism on different architectures effectively. Data
management means managing the implicit or exposed memory
hierarchy. On a multicore or manycore node, this
includes improving cache utilization. On nodes with high
bandwidth memory (manycore and GPU), data management
includes minimizing traffic between the levels of the
exposed memory hierarchy.
This tutorial will focus on the OpenACC API. Additional information about other programming models (OpenMP, CUDA, OpenCL, MPI) will be included where appropriate. The tutorial will include prepackaged hands on sessions. We plan to provide access to three types of systems: X86 multicore with attached GPUs, supporting both multicore and GPU programming; Power multicore with attached GPUs, similarly; Xeon Phi KNL manycore, supporting manycore programming. This allows attendees to experiment with and port between different systems.
This tutorial will focus on the OpenACC API. Additional information about other programming models (OpenMP, CUDA, OpenCL, MPI) will be included where appropriate. The tutorial will include prepackaged hands on sessions. We plan to provide access to three types of systems: X86 multicore with attached GPUs, supporting both multicore and GPU programming; Power multicore with attached GPUs, similarly; Xeon Phi KNL manycore, supporting manycore programming. This allows attendees to experiment with and port between different systems.
Presenter
