High-performance computing (HPC) education is essential to our community. From evolving programming techniques and numerical algorithms to transformations in HPC architectures and software, our world is moving fast as we continue progressing toward the Exascale Era. But are we ready for it?
Using supercomputers for computational science and engineering (CSE) requires expertise that is not always covered by formal education. To address this gap in professional training, we created the Argonne Training Program on Extreme-Scale Computing (ATPESC). This intense two-week program focuses on the key skills, approaches, and tools needed to conduct CSE research on today’s supercomputers and the extreme-scale systems of the future. For an overview, check out this video on the 2016 program: https://www.youtube.com/watch?v=l5nYN_im8xM
ATPESC participants are provided access to hundreds of thousands of cores of computing power on some of today’s most powerful supercomputing resources, including the Argonne Leadership Computing Facility’s Mira and Vesta systems, the Oak Ridge Leadership Computing Facility’s Titan system, and the National Energy Research Scientific Computing Center’s Cori and Edison systems.
While only 65 participants are able to attend ATPESC each year, the entire HPC community can tap into the program’s broad curriculum via the Argonne YouTube Training Channel. In an effort to extend the reach of ATPESC beyond the classroom, program organizers have captured and shared 76 hours of lectures from some of the world’s foremost experts and pioneers in extreme-scale computing.
In the summer of 2017, ATPESC will be back for its fifth year, providing a new group of early career researchers with an opportunity to learn and improve their skills to use extreme-scale computing systems for breakthrough CSE research. If you or someone you know may be interested in attending, stay tuned to the ATPESC website for details on the call for applications in January 2017.
ATPESC is funded by the Exascale Computing Project, which is supported by the DOE Office of Science’s Advanced Scientific Computing Research Program.
