GPGPU computing Field of study: Computer Science
Programme code: W4-S2IN19.2020

Module name: GPGPU computing
Module code: W4-IN-S2-20-F-ONKG
Programme code: W4-S2IN19.2020
Semester:
  • summer semester 2021/2022
  • winter semester 2021/2022
  • summer semester 2020/2021
Language of instruction: Polish
Form of verification: course work
ECTS credits: 4
Description:
The aim of the course is to acquaint the student with the technique of parallel computing on GPUs. The subject course covers the basics of CUDA C, DirectCompute and OpenCL as well as hardware aspects of calculations on graphics 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]
He knows the hardware architecture of GPUs and graphics cards, knows the mechanisms and structures of CPU-GPU communication. Knows the properties of parallel algorithms, understands parallelization techniques at the level of instructions, data and tasks. [M_001]
 K_W03 [1/5] K_U01 [1/5] K_K01 [1/5]
Knows the rules of programming GPUs using CUDA C, knows and understands the functionality of the DirectCompute library and OpenCL language 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]
Is able to work individually or in a team, understands the importance of intellectual honesty in their own activities and other people act ethically. He understands the need to constantly improve his competences. Is able to think in a creative way, form opinions on basic issues, current state and development trends in IT and understands non-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]
Implementation of a semester project in the field of learning outcomes adopted in the module
 M_001 M_002 M_003
Project presentation [W_002]
Audiovisual presentation on the forum of a group of students, discussion of assumptions and adopted method of solving a specific problem, analysis and assessment of the implementation of the project goal.
 M_003
Test [W_003]
Test with open and closed 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]
Content of module training with the use of audiovisual means.
 15
Independent study of lecture topics and recommended literature
 30 Test [W_003]
laboratory classes [Z_002]
Practical implementation of the learning content of the module, including on the acquisition of skills and experience of efficient use of CUDA C, DirectCompute or OpenCL libraries. Classes are held using computer stations and appropriate software
 30
1. Individual preparation for laboratory classes 2. Individual or multi-person group project execution and its documentation 3. Preparation of the presentation in audiovisual form about the completed project and its presentation on the forum of a group of students
 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)