Make Code Parallel

Tutorial Session: GPU Programming Using Patterns for Parallelization
Dr. Manuel Arenaz & Dr. Javier Novo, Appentra Solutions

Tutorial Session Pre-Requisite: Thursday, October 31 • 17:30 – 18:10. Read more: https://sched.co/WdM9
Tutorial Session: Friday, November 1 • 09:55 – 13:00. Read more: https://sched.co/Vha1

As HPC continues to move towards a model of multicore and accelerator programming, a detailed understanding of shared-memory models and how best to use accelerators has never been more important. OpenMP is the de facto standard for writing multithreaded code to take advantage of shared memory platforms, but to make optimal use of it can be incredibly complex. OpenACC is considered a forerunner and simpler to use, which is why it is being successfully used today for the acceleration of real applications.

This course will give a holistic understanding of multicore and GPU programming using a novel productivity-oriented approach based on the decomposition of real applications into components for parallelization. The workshop will cover:
– Introduction to multicore and GPU programming.
– Code patterns for parallelization.
– OpenMP and OpenACC.
– Multithreading, offloading and tasking.”

Watch the event in video: https://www.appentra.com/training/courses/event-training-courses/#openpower

The goal of this BoF is to bring together members of the HPC community interested in quality assurance and best practices for the development of parallel software on a wide range of hardware architectures.

Date: Thu Nov 21, 12:15pm-1:15pm
Place: SC19 at Colorado Convention Center, Denver, CO
Room: 505
Join us on the mailing list to receive relevant updates and dicussions: https://groups.io/g/parallel-code-qa-sc19-bof
Website: https://parallel-code-qa.github.io/sc19-bof/
More info: https://sc19.supercomputing.org/presentation/?id=bof164&sess=sess316