GPGPU Programming

Course Info

  • Department: Mathematics and Computer Science, University of Calabria (Italy)
  • Degree: Master Degree in Computer Science and Artificial Intelligence
  • Curriculum: Data Science
  • Lecturer: Donato D'Ambrosio

Course Material

  • David B. Kirk, Wen-mei W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach (Third Edition). Morgan Kaufmann, 2017
Suggested readings
Other resources


  • Slides can be found in the Files section of the Lecture channel of the GPGPU Programming cours on Microsoft Teams
  • You can join the GPGPU Programming team by using the following code: 3d98qzr