Faculty of Information Technology, BUT

Course details

Graphic and Multimedia Processors

GMU Acad. year 2019/2020 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

Language of instruction

Czech

Completion

Credit+Examination (written)

Time span

26 hrs lectures, 8 hrs pc labs, 18 hrs projects

Assessment points

60 exam, 12 labs, 28 projects

Department

Lecturer

Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT)
Kula Michal, Ing. (DCGM FIT BUT)
Milet Tomáš, Ing. (DCGM FIT BUT)

Instructor

Kula Michal, Ing. (DCGM FIT BUT)
Milet Tomáš, Ing. (DCGM FIT BUT)

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

Prerequisites

Study literature

  • Lecture notes in e-format.

Fundamental literature

  • 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 W.
  • 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 - others, projects and individual work of students

Individual project assignment, 28 points.

Progress assessment

Passing labs and finishing the project.

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.

Schedule

DayTypeWeeksRoomStartEndLect.grpGroupsInfo
Thulecturelectures G202 11:0012:50 1MIT 2MIT xx

Course inclusion in study plans

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