An event every week that begins at 2:00 pm on Monday, repeating until June 28, 2021
The school is designed for participants familiar with the Linux command line and who have some level of programming experience. Completion of the ACENET Basics Series, or equivalent experience, is strongly recommended. General parallel computing, Dask, Machine Learning, OpenMP programming, GPU accelerator programming, and Message Passing Interface (MPI) will be covered over 12 online sessions.
Sessions are as follows:
Each two-hour session will include a lecture and learning exercises. These will be oriented to those learners seeking a more advanced experience. There will be online office hours each week so participants can ask questions about the course content and exercises.
The course is aimed at researchers and innovators, both academic and industrial. The background expected is typically that of a graduate student, although both advanced undergraduates and those who have finished (or never been to) graduate school may expect to benefit. Participants must have familiarity with the Unix command line, such as one might have upon completion of the ACENET Basics Series, and have some level of programming experience.
Participants must have a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). As with any on-line course, a headset and a second monitor will be of benefit.