Dec 2020 / GPU Computing in PracticeΒΆ

Part of Scientific Computing in Practice lecture series at Aalto University.

Audience: Employees and students looking for the extensive intro into GPU computing.

About the course: The course covers the different models of GPU computing, such as basics of compiling and running GPU ready applications, using GPU libraries to do the math and finally writing your own code with CUDA.

Lecturer: Filippo Federici, D. Sc., Department of Applied Physics, Aalto University

Time, date: all four lectures in Dec 2020:

  • Tue 1.12, 12-15
  • Thu 3.12, 12-15
  • Tue 8.12, 12-15
  • Thu 10.12, 12-15

Place: Yet open, either fully online of in a hybrid way == lecture hall + online. TBA

Cost: Free of charge for FGCI consortium members and Aalto employees, students.

Registration: open for the registration

Credits (opintopisteet): Credits available for the Aalto students or course certificate can be provided on request for the outsiders. Since the main focus of the course is learning through experience, the students will be required to perform simulations for homework and hand in result report. Credits/certificate require full time participation and handling assignments. Full course hours correspond roughly to 1 ECTS.

Other comments: Participants suppose to have SSH access to one of the FCCI Linux clusters for running examples.

Additional course info at: filippo.federici -at- aalto.fi / ivan.degtyarenko -at- aalto.fi