FPF:UFPF522 Graphics cards computing

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

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.