Course detail
Graphic and Multimedia Processors
FIT-GMUAcad. year: 2026/2027
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.
Language of instruction
Number of ECTS credits
Assignment to study programme types
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
Passing labs and finishing the project.
Passing labs and finishing the project. Substitution according to the decision of a teacher.
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.
Students will get knowledge of graphic systems architecture, hardware support for graphical and multimedia operations and programming them in OpenCL, OpenGL and CUDA environment.
Study aids
Prerequisites and corequisites
- recommended prerequisite
Computer Graphics
Basic literature
Recommended reading
Classification of course in study plans
- Programme MITAI Master's
specialization NHPC , 0 year of study, winter semester, elective
specialization NVER , 0 year of study, winter semester, elective
specialization NIDE , 0 year of study, winter semester, elective
specialization NISY , 0 year of study, winter semester, elective
specialization NEMB , 0 year of study, winter semester, elective
specialization NSPE , 0 year of study, winter semester, elective
specialization NEMB , 0 year of study, winter semester, elective
specialization NBIO , 0 year of study, winter semester, elective
specialization NSEN , 0 year of study, winter semester, elective
specialization NVIZ , 0 year of study, winter semester, elective
specialization NGRI , 0 year of study, winter semester, elective
specialization NADE , 0 year of study, winter semester, elective
specialization NISD , 0 year of study, winter semester, elective
specialization NMAT , 0 year of study, winter semester, elective
specialization NSEC , 0 year of study, winter semester, elective
specialization NNET , 0 year of study, winter semester, elective
specialization NMAL , 0 year of study, winter semester, elective
specialization NCPS , 0 year of study, winter semester, elective
Type of course unit
Lecture
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, 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.
Exercise in computer lab
Teacher / Lecturer
Syllabus
- Introduction to OpenCL
- OpenCL memory model
- Cooperation between threads in OpenCL
- Parallelization using OpenGL
Project
Teacher / Lecturer
Syllabus
Individual preparation for a mid-semester exam
Teacher / Lecturer
Individual preparation for a final exam
Teacher / Lecturer
Individual preparation - creating a presentation
Teacher / Lecturer