“Within a couple of hours of the tutorial on ARM Forge (a cross-platform development tool suite), for example, I had a remote debugging session configured and working with a particularly intricate model I work on in real life.” “The highlight for me was being able to put some of the information to work immediately,” said Subich. Also, Slack was indispensable both for asking my own questions and learning from other people’s questions.”Ī key takeaway for Christopher Subich, a research scientist for Environment Canada, was that modern libraries and support systems, such as debuggers and profilers, are incredibly full-featured. “Nearly all the tracks had a hands-on component, which kept me engaged. “Although I would have loved to see everyone in Chicago, I thought ATPESC 2021 was extremely well organized and executed for being online,” said Stuart. Stuart, a postdoctoral fellow of the Computational Hydraulics Group at the University of Texas at Austin, loves all things HPC and sought more education on exascale computing so she can one day go into HPC research support. I learned a lot and the instructor made this session easy to follow.” “This was a brilliant tutorial for all levels of experience. “I really enjoyed the day when we learned about OpenMP and the fundamental design patterns of parallel programming,” said Claus. Lisa Claus, a postdoctoral scholar in the Computational Research division at Berkeley Lab, learned how everything is connected in HPC, how all components are dependent on each other and what the future looks like for supercomputers. Miriam Kherer (bottom), a doctoral student at the Massachusetts Institute of Technology, asks ATPESC lecturers a question during a panel discussion on numerical algorithms and software. This demonstrates that the learning experience never ends, and we are very fortunate we can attend this type of event to learn about the new trends and good practices.” It is incredible how this nurturing experience can provide you with another perspective of scientific computation. “I have learned so much from the lecturers, but also from the other attendees. “Being at ATPESC 2021 has been an extremely delightful experience,” said Mendez. Julio Mendez, a computational fluid dynamics ( CFD) engineer at Corrdesa LLC, and a CFD Research Fellow for the Mechanical Engineering department at North Carolina A &T State University, was accepted to ATPESC after applying for the competitive program several times in the past. “I am certain that ATPESC lowers the barrier for getting started by equipping participants with the knowledge and skills they need to succeed.”
#High performance computing collaboratory how to
“One of the hardest things to do when trying to tackle a complex computational problem is to figure out how to get started,” said Mellor-Crummey. The attendees receive training sessions from leading HPC experts from national laboratories, universities, NASA and companies.īesides accumulating knowledge and advice from the experts, attendees also got to know the lecturers and their ATPESC peers through a communication channel established on Slack, a platform that allowed them to ask questions and engage in conversations. As part of the program, they are given access to world-class supercomputers at the Argonne Leadership Computing Facility ( ALCF), Oak Ridge Leadership Computing Facility and National Energy Research Scientific Computing Center ( NERSC). Since its start, ATPESC has hosted more than 700 participants from around the world.
#High performance computing collaboratory software
The ATPESC workshop brings the bleeding tip of the developments in the HPC realm to the attendees, and they get to dip their hands in grease with hands-on sessions.” - Suyash Tandon, a software system design engineer at AMD “ ATPESC is a great venue for the scientific computing community to meet and learn from one another. While held virtually for the second year due to the pandemic, it remained a priority for early career scientists who competed for the coveted training opportunity. Department of Energy’s ( DOE) Argonne National Laboratory, ATPESC offers training on key skills, approaches and tools needed to design, implement and execute computational science and engineering applications on HPC systems, including upcoming exascale supercomputers. “I view training the next generation of computational scientists as a national priority,” said John Mellor-Crummey, professor of Computer Science and of Electrical and Computer Engineering at Rice University and a lecturer for ATPESC every year since its inception in 2013. A love for high performance computing ( HPC) and the eagerness to learn the latest about supercomputers attracted nearly 80 attendees this year at the ninth annual Argonne Training Program on Extreme-Scale Computing ( ATPESC).
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