Course details
Graphic and Multimedia Processors
GMU Acad. year 2018/2019 Winter semester 5 credits
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.
Guarantor
Course coordinator
Language of instruction
Completion
Time span
- 26 hrs lectures
- 8 hrs pc labs
- 18 hrs projects
Assessment points
- 60 pts final exam (written part)
- 12 pts labs
- 28 pts projects
Department
Lecturer
Kula Michal, Ing., Ph.D. (DCGM)
Milet Tomáš, Ing., Ph.D. (DCGM)
Instructor
Subject specific learning outcomes and competences
Students will get knowledge of graphic systems architecture, hardware support for graphical and multimedia operations and programming them in OpenCL, OpenGL and CUDA environment.
Learning objectives
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.
Why is the course taught
This is an important application area of infomation technology that besides computer graphics finds broad usage in areas of communications, and technical and scientific computations.
Recommended prerequisites
- Computer Graphics (PGR)
Study literature
- Lecture notes in e-format.
- Actual literature, patents and product white papers.
Syllabus of lectures
- 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.
Syllabus of computer exercises
- 12 points
1. Introduction to OpenCL
2. OpenCL memory model
3. Communication between OpenCL and OpenGL
4. Parallelization using OpenGL
Syllabus - others, projects and individual work of students
Individual project assignment, 28 points.
Progress assessment
Passing labs and finishing the project.
Exam prerequisites:
Passing labs and finishing the project. Min 10 points.
Controlled instruction
Passing labs and finishing the project. Substitution according to the decision of a teacher.
Exam prerequisites
Passing labs and finishing the project. Min 10 points.
Course inclusion in study plans