GPGPU computing Field of study: Computer Science
Programme code: W4-S2INA19.2020

Module name: GPGPU computing
Module code: W4-INA-S2-20-F-ONKG
Programme code: W4-S2INA19.2020
Semester:
  • summer semester 2021/2022
  • winter semester 2021/2022
  • summer semester 2020/2021
Language of instruction: English
Form of verification: course work
ECTS credits: 4
Description:
The course aims at acquainting the students with the technique of parallel computing on GPUs. The subject course covers CUDA C, DirectCompute and OpenCL, and hardware aspects of calculations on graphic cards.
Prerequisites:
(no information given)
Key reading:
1. Munshi A., Gaster B., Matsson T., Fung J., Ginsburg D.: OpenCL Programming Guide. Addison-Wesley Professional, 2011, 2. Cook, S.: CUDA Programming: A Developer's Guide to Parallel Computing with GPUs. Morgan Kaufmann, 2012, 3. Kirk B., D.: Programming Massively Parallel Processors: A Hands-on Approach. Morgan Kaufmann, 2016
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
The student knows GPUs' hardware and graphics cards architecture and the mechanisms and structures of CPU-GPU communication. The student knows parallel algorithms' properties and understands parallelisation techniques in the instructions, data, and tasks. [M_001]
 K_W03 [1/5] K_U01 [1/5] K_K01 [1/5]
The student knows the rules of programming GPUs using CUDA C and understands the DirectCompute library and OpenCL API in parallel processing. [M_002]
 K_W02 [1/5] K_W04 [1/5] K_W05 [1/5] K_U01 [1/5] K_U05 [1/5] K_U06 [1/5] K_K01 [1/5]
The student can work individually or in a team, understands the importance of intellectual honesty in their and other people's activities. They understand the need to improve their competences continually. The student can think creatively, form opinions on fundamental issues, current state and development trends in IT and understands technical issues of professional activity [M_003]
 K_W02 [1/5] K_W04 [1/5] K_U01 [1/5] K_U02 [1/5] K_U03 [1/5] K_U04 [1/5] K_K01 [1/5] K_K02 [1/5] K_K03 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Project [W_001]
The semester project shows the learning outcomes adopted in the module.
 M_001 M_002 M_003
Project presentation [W_002]
The students perform audiovisual presentations in front of the group, discuss the assumptions and adopted methods of solving a specific problem, analyse and assess the implementation of the project goal.
 M_003
Test [W_003]
The test comprises both open and closed-ended questions.
 M_001 M_002
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [Z_001]
The lectures are conducted with the use of audiovisual means.
 15
The students self-study the lecture topics and recommended literature.
 30 Test [W_003]
laboratory classes [Z_002]
The classes are a practical implementation of the learning content from the lectures, including the acquisition of skills and experience of efficient use of CUDA C, DirectCompute or OpenCL libraries. The classes are held with the use of computer stations and appropriate software.
 30
The students: 1. Self-study for the laboratory classes. 2. Prepare individual or group projects and document them. 3. Perform the audiovisual presentations on the completed projects and their presentations in front of the group
 45 Project [W_001] Project presentation [W_002]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)