XSEDE, along with the Pittsburgh Supercomputing Center and the National Center for Supercomputing Applications at the University of Illinois will be presenting an OpenACC GPU programming workshop on August 5, 2014.
OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the Blue Waters which is deployed at NCSA.
Due to demand, this workshop will be telecast to several satellite sites. This workshop is NOT available via a webcast. Please note that the hands-on accounts will be limited to 150 students, available across all sites and awarded by order of registration.
You may attend at any of the following sites:
- Pittsburgh Supercomputing Center
- University of Iowa
- University of Houston Clear-Lake
- George Washington University
- Ohio Supercomputer Center
- Louisiana State University
- Youngstown State University
The tentative agenda, subject to change, is below. It is designed to be time-zone friendly.
Please address any questions to Tom Maiden at: firstname.lastname@example.org
Tuesday, August 5
All times given are Eastern time
- 11:00 Welcome
- 11:15 Computing Environment
- 11:45 Parallel Computing and Accelerators
- 12:15 Intro to OpenACC
- 1:00 Lunch break
- 2:00 Introduction to OpenACC, con’t
- 4:00 Using OpenACC with CUDA Libraries
- 4:30 Advanced OpenACC and OpenMP 4.0
- 5:00 Final Notes and Adjourn
XSEDE, the Extreme Science and Engineering Discovery Environment, is the most advanced, powerful, and robust collection of integrated digital resources and services in the world. It is a single virtual system that scientists and researchers can use to interactively share computing resources, data, and expertise. XSEDE integrates the resources and services, makes them easier to use, and helps more people use them.
Register for the on-site session at the Pittsburgh Supercomputing Center here.