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Parallel Computing School 2023

Tuesday, May 16, 10 a.m.-3:30 p.m.

Online

ACENET’s PCS seeks to educate participants in common tools and techniques used in high-performance computing and scientific computation.

The format is one day per week with two 2-hour sessions over six weeks . Over the course of 10 sessions we will cover general parallel computing, Dask, OpenMP programming, GPU accelerator programming, and Message Passing Interface (MPI) programming.

  • Tuesday, May 16, 9:30 – 11:30 am & 1:00 – 3:00 pm
  • Tuesday, May 23, 9:30 – 11:30 am & 1:00 – 3:00 pm
  • Tuesday, May 30, 9:30 – 11:30 am & 1:00 – 3:00 pm
  • Tuesday, June 6, 9:30 – 11:30 am & 1:00 – 3:00 pm
  • Tuesday, June 13, 9:30 – 11:30 am & 1:00 – 3:00 pm

All times above are in Atlantic time (UTC-3:00).

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.

Participants must register using their institutional / organizational email address (not a personal email, ie. gmail)

Presented by ACENET

Event Listing 2023-05-16 10:00:00 2023-05-16 15:30:00 America/St_Johns Parallel Computing School 2023 ACENET’s PCS seeks to educate participants in common tools and techniques used in high-performance computing and scientific computation. The format is one day per week with two 2-hour sessions over six weeks . Over the course of 10 sessions we will cover general parallel computing, Dask, OpenMP programming, GPU accelerator programming, and Message Passing Interface (MPI) programming. Tuesday, May 16, 9:30 – 11:30 am & 1:00 – 3:00 pm Tuesday, May 23, 9:30 – 11:30 am & 1:00 – 3:00 pm Tuesday, May 30, 9:30 – 11:30 am & 1:00 – 3:00 pm Tuesday, June 6, 9:30 – 11:30 am & 1:00 – 3:00 pm Tuesday, June 13, 9:30 – 11:30 am & 1:00 – 3:00 pm All times above are in Atlantic time (UTC-3:00). 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. Participants must register using their institutional / organizational email address (not a personal email, ie. gmail) Online ACENET