Title:

Graphic and Multimedia Processors

Code:GMU
Ac.Year:2018/2019
Sem:Winter
Curriculums:
ProgrammeFieldYearDuty
IT-MSC-2MBI-Elective
IT-MSC-2MBS-Elective
IT-MSC-2MGM-Compulsory-Elective - group C
IT-MSC-2MIN-Elective
IT-MSC-2MIS-Elective
IT-MSC-2MMM-Elective
IT-MSC-2MPV-Compulsory-Elective - group G
IT-MSC-2MSK-Elective
Language of Instruction:Czech
Private info:http://www.fit.vutbr.cz/study/courses/GMU/private/
Credits:5
Completion:credit+exam (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:2600818
 ExamsTestsExercisesLaboratoriesOther
Points:60001228
Guarantor:Drábek Vladimír, doc. Ing., CSc. (DCSY)
Lecturer:Drábek Vladimír, doc. Ing., CSc. (DCSY)
Kula Michal, Ing. (DCGM)
Milet Tomáš, Ing. (DCGM)
Instructor:Kula Michal, Ing. (DCGM)
Milet Tomáš, Ing. (DCGM)
Šimek Václav, Ing. (DCSY)
Faculty:Faculty of Information Technology BUT
Department:Department of Computer Systems FIT BUT
Prerequisites: 
Computer Graphics (PGR), DCGM
Substitute for:
Graphic Processors (GMP), DCSY
 
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.
Description:
  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 and competencies:
  Students will get knowledge of graphic systems architecture, hardware support for graphical and multimedia operations and programming them in OpenCL, OpenGL  and CUDA environment.
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.
Fundamental literature:
 
  • Actual literature, patents  and product white papers.
Study literature:
 
  • Lecture notes in e-format.
Controlled instruction:
  Passing labs and finishing the project. Substitution according to the decision of a teacher.
Progress assessment:
  Passing labs and finishing the project.
Exam prerequisites:
  Passing labs and finishing the project. Min 10 points.
 

Your IPv4 address: 18.212.206.217
Switch to https

DNSSEC [dnssec]