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
Department
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, 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 - Programme MITAI Master's
specialization NADE , any year of study, winter semester, 5 credits, optional
specialization NBIO , any year of study, winter semester, 5 credits, optional
specialization NGRI , any year of study, winter semester, 5 credits, optional
specialization NNET , any year of study, winter semester, 5 credits, optional
specialization NVIZ , any year of study, winter semester, 5 credits, optional
specialization NCPS , any year of study, winter semester, 5 credits, optional
specialization NSEC , any year of study, winter semester, 5 credits, optional
specialization NEMB , any year of study, winter semester, 5 credits, optional
specialization NHPC , any year of study, winter semester, 5 credits, optional
specialization NISD , any year of study, winter semester, 5 credits, optional
specialization NIDE , any year of study, winter semester, 5 credits, optional
specialization NISY , any year of study, winter semester, 5 credits, optional
specialization NMAL , any year of study, winter semester, 5 credits, optional
specialization NMAT , any year of study, winter semester, 5 credits, optional
specialization NSEN , any year of study, winter semester, 5 credits, optional
specialization NVER , any year of study, winter semester, 5 credits, optional
specialization NSPE , 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.
- 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
Syllabus
- Introduction to OpenCL
- OpenCL memory model
- Cooperation between threads in OpenCL
- Parallelization using OpenGL
Project
18 hours, compulsory
Teacher / Lecturer
Syllabus
Individual project assignment, 28 points.
eLearning
eLearning: currently opened course