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.

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.

    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.

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, optional
    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, optional
    branch MIS , any year of study, winter semester, 5 credits, optional
    branch MBS , any year of study, winter semester, 5 credits, optional
    branch MIN , any year of study, winter semester, 5 credits, optional
    branch MMM , any year of study, winter semester, 5 credits, optional

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. 

Computer exercise

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

Projects

18 hours, compulsory

Teacher / Lecturer

Syllabus

Individual project assignment, 28 points.

eLearning

eLearning: opened course