Course detail

Graphic and Multimedia Processors

FIT-GMUAcad. year: 2019/2020

Introduction, basic concepts. Graphic system architecture, CUDA. OpenCL. OpenGL. Computation optimization. Memory management. Unified memory. Graphic pipeline, paralelizatiom. Graphical systems SGI, GF7800 and next systems. MM systems, MMX, SSE, AVX. Mobile  systems. Game consoles. GPU for mobile devices. Approximate computation. Energy aware computations. Texture mapping and compression. Pixel interpolation.

Supervisor

doc. Ing. Vladimír Drábek, CSc.

Department

Department of Computer Systems (UPSY)

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.
Aamodt Tor M., Fung Wilson Wai Lun, Rogers Timothy G.: General-Purpose Graphics Processor Architectures, Morgan&Claypool Publishers, 2018
NVIDIA Tesla V100 GPU Architecture, August 2017 NVIDIA Corporation
NVIDIA Turing GPU Architecture, 2018 NVIDIA Corporation
ARM Mali GPU: OpenGL ES Application Guide, 2013 ARM, ARM DUI 0555C, ID102813

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Passing labs and finishing the project.
Exam prerequisites:

  • Min. 8 points from the project.
  • Min. 10 points from labs and the project.

Language of instruction

Czech

Work placements

Not applicable.

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

  • Programme MITAI Master's

    specialization NADE , any year of study, winter semester, 5 credits, elective
    specialization NBIO , any year of study, winter semester, 5 credits, elective
    specialization NGRI , any year of study, winter semester, 5 credits, elective
    specialization NNET , any year of study, winter semester, 5 credits, elective
    specialization NVIZ , any year of study, winter semester, 5 credits, elective
    specialization NCPS , any year of study, winter semester, 5 credits, elective
    specialization NSEC , any year of study, winter semester, 5 credits, elective
    specialization NEMB , any year of study, winter semester, 5 credits, elective
    specialization NHPC , any year of study, winter semester, 5 credits, elective
    specialization NISD , any year of study, winter semester, 5 credits, elective
    specialization NIDE , any year of study, winter semester, 5 credits, elective
    specialization NISY , any year of study, winter semester, 5 credits, elective
    specialization NMAL , any year of study, winter semester, 5 credits, elective
    specialization NMAT , any year of study, winter semester, 5 credits, elective
    specialization NSEN , any year of study, winter semester, 5 credits, elective
    specialization NVER , any year of study, winter semester, 5 credits, elective
    specialization NSPE , any year of study, winter semester, 5 credits, elective

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. Ing. Vladimír Drábek, CSc.

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.
  • 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.
  • Memory management, unified memory.
  • Enargy aware GPU, a mobile 363 W.
  • 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. 

Exercise in computer lab

8 hours, compulsory

Teacher / Lecturer

doc. Ing. Vladimír Drábek, CSc.

Syllabus

  1. Introduction to OpenCL
  2. OpenCL memory model
  3. Cooperation between threads in OpenCL
  4. Parallelization using OpenGL

Project

18 hours, compulsory

Teacher / Lecturer

doc. Ing. Vladimír Drábek, CSc.

Syllabus

Individual project assignment, 28 points.

eLearning

eLearning: currently opened course