|Name:||Tutorial 06: Advanced OpenMP: Performance & 4.0 Features|
|Time:||Sunday, June 22, 2014
09:00 am - 01:00 pm
|Room:||Seminar Room 14/15
CCL - Congress Center Leipzig
|Breaks:||08:00 am - 10:30 am Welcome Coffee|
|Presenter:||Bronis R. de Supinski, LLNL|
|Michael Klemm, Intel|
|Eric Stotzer, Texas Instruments|
|Christian Terboven, RWTH Aachen University|
|Abstract:||With the increasing prevalence of multicore processors, shared-memory programming models are essential. OpenMP is a popular, portable, widely supported and easy-to-use shared-memory model. Developers usually find OpenMP easy to learn. However, they are often disappointed with the performance and scalability of the resulting code. This disappointment stems not from shortcomings of OpenMP but rather from the lack of depth with which it is employed. Our “Advanced OpenMP Programming” tutorial addresses this critical need by exploring the implications of possible OpenMP parallelization strategies, both in terms of correctness and performance.
While we quickly review the basics of OpenMP programming, we assume attendees understand basic parallelization concepts and will easily grasp those basics. We focus on performance aspects, such as data and thread locality on NUMA architectures, false sharing, and exploitation of vector units. We discuss language features in-depth, with emphasis on advanced features like tasking and those recently added to OpenMP 4.0 such as cancellation. We close with a presentation of the new directives for attached compute accelerators.
Our primary target is HPC programmers with some knowledge of OpenMP that want to implement efficient shared-memory code.