UFPF522 Graphics cards computing

Faculty of Philosophy and Science in Opava
Summer 2017
Extent and Intensity
0/2/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
RNDr. Jan Novotný, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Martin Urbanec, Ph.D.
Centrum interdisciplinárních studií – Faculty of Philosophy and Science in Opava
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Syllabus
  • The main focus of this course is to introduce students into parallel programming using CUDA/C++. Lessons will cover problematic of analysing and profiling programs. Also we will bring short information how to work with job schedulers (slurm/torque) and writting basic scripts for submitting.
Literature
    recommended literature
  • Jason Sanders. CUDA by Example: An Introduction to General-Purpose GPU Programming. ISBN 978-0131387683. info
  • Nicholas Wilt. CUDA Handbook: A Comprehensive Guide to GPU Programming. ISBN 978-0321809469. info
  • Shane Cook. CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing). ISBN 978-0124159334. info
  • nVidia (2014), CUDA C programming guide. URL info
  • David B. Kirk, Wen-mei W. Hwu. Programming Massively Parallel Processors, Second Edition: A Hands-on Approach. ISBN 978-0124159921. info
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms Summer 2015, Summer 2016, Summer 2018, Summer 2019, Summer 2020.
  • Enrolment Statistics (Summer 2017, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2017/UFPF522