Course detail
Graphic and Multimedia Processors
FIT-GMUAcad. year: 2018/2019
Introduction, basic concepts. Graphic system architecture, CUDA. OpenCL. OpenGL. Computation optimization. Memory management. Unified memory. Color models, CIE, TV standards. Graphic pipeline, paralelizatiom. Graphical systems SGI, GF7800 and next systems. Logic enhanced memories. MM systems, MMX, SSE, AVX. Mobile systems. Game consoles. Approximate computation. Energy aware computations. Texture mapping and compression. Pixel interpolation. Digital cameras, QR codes. Black and white images.
Supervisor
Department
Learning outcomes of the course unit
Students will get knowledge of graphic systems architecture, hardware support for graphical and multimedia operations and programming them in OpenCL, OpenGL and CUDA environment.
Prerequisites
Not applicable.
Co-requisites
Not applicable.
Recommended optional programme components
Not applicable.
Recommended or required reading
- Přednáškové materiály v elektronické formě.
- Foley J.D., van Dam A., Feiner S.K., Hughes J.F.: Computer Graphics, Principles and Practice, Addison Wesley, 1990
- Rao K.R., Hwang J.J.: Techniques & Standards for Image, Video & Audio Coding, Prentice Hall, 1996
- Další aktuální literatura a firemní zdroje.
Planned learning activities and teaching methods
Not applicable.
Assesment methods and criteria linked to learning outcomes
Passing labs and finishing the project.
Exam prerequisites:
Passing labs and finishing the project. Min 10 points.
Language of instruction
Czech
Work placements
Not applicable.
Course curriculum
- Syllabus of lectures:
- Introduction, basic concepts. Graphic system architecture, CUDA. OpenCL. OpenGL.
- Computation optimalization on advanced GPGPU - 1, 2, 3.
- Color models, CIE, TV standards. Graphical systems, pipeline and parallelization. Approximate computation.
- OpenGL. Shaders.
- MM systems, mobile systems. MMX, SSE, AVX.
- Threads processing principles.
- Graphical systems SGI, GF7800 and next systems.
- Memory management, unified memory. Logic enhanced memories.
- Digital cameras, QR codes.
- Transformations - the orthogonality, JPEG example. Integer cosine transform. Wavelet transform.
- Texture mapping and compression. Pixel interpolation.
- Black and white images, distortion measures. Game consoles.
- 12 points
1. Introduction to OpenCL
2. OpenCL memory model
3. Communication between OpenCL and OpenGL
4. Parallelization using OpenGL
Syllabus of computer exercises:
Syllabus - others, projects and individual work of students:
Individual project assignment, 28 points.
Aims
To give the students the outline of the evolution of graphic and multimedia systems architecture, the hardware support and software implementation of graphical and multimedia operations, image processing and compression, and making use of OpenCL and OpenGL languages for image information processing, optimization of the computation. New CUDA tool for programming GPGPU. Approximate computation. MM systems, mobile systems, energy aware systems.
Specification of controlled education, way of implementation and compensation for absences
Passing labs and finishing the project. Substitution according to the decision of a teacher.
Classification of course in study plans
- Programme IT-MGR-2 Master's
branch MBI , any year of study, winter semester, 5 credits, elective
branch MPV , any year of study, winter semester, 5 credits, compulsory-optional
branch MGM , any year of study, winter semester, 5 credits, compulsory-optional
branch MSK , any year of study, winter semester, 5 credits, elective
branch MIS , any year of study, winter semester, 5 credits, elective
branch MBS , any year of study, winter semester, 5 credits, elective
branch MIN , any year of study, winter semester, 5 credits, elective
branch MMM , any year of study, winter semester, 5 credits, elective
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
Syllabus
- Introduction, basic concepts. Graphic system architecture, OpenCL. CUDA. Vulcan. OpenGL-CL cooperation, shaders.
- Introduction to up-date GPU architectures, OpenCL library.
- Memory model, profiling.
- Mapping of algorithms onto GPU, optimization.
- Memory transfers, advanced optimization techniques.
- Color models, CIE, TV standards. Graphical systems, pipeline and parallelization.
- Logic enhanced memories.
- Advanced raster graphic architecture. Graphical systems SGI.
- Graphic multiprocessors GF7800, 8800.
- GPGPU - Tesla T8, Fermi, Tesla P100, Pascal, Titan GTX 1080, Echelon, Turing.
- Memory management, unified memory.
- Enargy aware GPU, a mobile 363 µW.
- Approximate computation.
- MM systems, MMX, SSE, AVX.
- MMP, VLIW, SoC, mobile systems.
- Game consoles. PS4, Xbox 360, One. AMD APU.
Texture mapping and compression. Pixel interpolation.- Black and white images.
- Digital cameras, QR codes.
Exercise in computer lab
8 hours, compulsory
Teacher / Lecturer
Syllabus
- 12 points
1. Introduction to OpenCL
2. OpenCL memory model
3. Communication between OpenCL and OpenGL
4. Parallelization using OpenGL
Project
18 hours, compulsory
Teacher / Lecturer
Syllabus
Individual project assignment, 28 points.