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.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Exam prerequisites:
Passing labs and finishing the project. Min 10 points.
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
- recommended prerequisite
Computer Graphics
Basic literature
Recommended reading
Lecture notes in e-format.
Classification of course in study plans
- Programme IT-MSC-2 Master's
branch MBI , 0 year of study, winter semester, elective
branch MSK , 0 year of study, winter semester, elective
branch MMM , 0 year of study, winter semester, elective
branch MBS , 0 year of study, winter semester, elective
branch MPV , 0 year of study, winter semester, compulsory-optional
branch MIS , 0 year of study, winter semester, elective
branch MIN , 0 year of study, winter semester, elective
branch MGM , 0 year of study, winter semester, compulsory-optional
Type of course unit
Lecture
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
Teacher / Lecturer
Syllabus
- 12 points
1. Introduction to OpenCL
2. OpenCL memory model
3. Communication between OpenCL and OpenGL
4. Parallelization using OpenGL
Project
Teacher / Lecturer
Syllabus