Course details

Graphic and Multimedia Processors

GMU Acad. year 2026/2027 Winter semester 5 credits

Introduction, basic concepts. Graphic system architecture, CUDA. OpenCL. OpenGL. Computation optimization. Memory management. Unified memory. Graphic pipeline, paralelizatiom. Graphical systems SGI. Evolution of the NVIDIA GPU architecture GF7800 up to Ampere. MM systems, MMX, SSE, AVX. GPU for mobile  systems. Game consoles. Approximate computation, energy aware computations. Texture mapping and compression.

Guarantor

Milet Tomáš, Ing., Ph.D. (DCGM)

Course coordinator

Milet Tomáš, Ing., Ph.D. (DCGM)

Language of instruction

Czech

Completion

Credit+Examination (written)

Time span

  • 26 hrs lectures
  • 8 hrs pc labs
  • 30 hrs projects

Assessment points

  • 60 pts final exam
  • 12 pts labs
  • 28 pts projects

Department

Department of Computer Systems (UPSY)

Lecturer

Kula Michal, Ing., Ph.D. (DCGM)
Milet Tomáš, Ing., Ph.D. (DCGM)

Instructor

Kula Michal, Ing., Ph.D. (DCGM)
Milet Tomáš, Ing., Ph.D. (DCGM)

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.
Students will get knowledge of graphic systems architecture, hardware support for graphical and multimedia operations and programming them in OpenCL, OpenGL  and CUDA environment.

Recommended prerequisites

Study literature

  • Přednáškové materiály v elektronické formě.

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.
  • Graphical pipeline. Advanced raster graphic architecture. Graphical systems SGI. 
  • Graphic multiprocessors  GF7800, 8800.
  • GPGPU - Tesla T8, Fermi, Tesla P100, Pascal, Titan GTX 1080, Echelon, Turing, Ampere.
  • Memory management, unified memory.
  • Enargy aware GPU, a mobile 363 microW.
  • Approximate computation.
  • MM systems, MMX, SSE, AVX.
  • MMP, VLIW, SoC, GPU for mobile systems.
  • Game consoles. PS4, Xbox 360, One. AMD APU. 
  • Texture mapping and compression. Pixel interpolation. 

Syllabus of computer exercises

  1. Introduction to OpenCL
  2. OpenCL memory model
  3. Cooperation between threads in OpenCL
  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.
Passing labs and finishing the project. Substitution according to the decision of a teacher.

Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Mon lecture 1., 2., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13. of lectures E104 18:0019:5070 1MIT 2MIT xx Milet
Fri comp.lab lectures O204 14:0015:5020 1MIT 2MIT xx

Course inclusion in study plans

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