'Graphics processing unit' presentation slideshows

#9: Scan Conversion & Midterm Review

#9: Scan Conversion & Midterm Review. CSE167: Computer Graphics Instructor: Ronen Barzel UCSD, Winter 2006. Outline for Today. Rendering intro Culling & clipping Scan conversion Midterm review. Rendering. Fancier term: Image Synthesis

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Output

Output. What is Output?. Data that has been processed into a useful form Data ? Input ?Processing ?Information ? Output Several types of OUTPUT depending on Hardware being used Software being used. Types of Output. Text Memos, letters, press releases, reports, advertisements Graphics

761 views • 46 slides

Approaches towards faster computation

Approaches towards faster computation. S. Yashonath SSCU, IISc, Bangalore 560012. In collaboration with Dr. T.S. Mohan, Infosys Technologies Ltd. Dr. Raghu Hudli, Managing Director, ObjectOrb Shrinidhi Hudli Shrihari Hudli. How to make computation faster :

531 views • 41 slides

CUDA (Compute Unified Device Architecture)

CUDA (Compute Unified Device Architecture). Supercomputing for the Masses by Peter Zalutski. What is CUDA?. CUDA is a set of developing tools to create applications that will perform execution on GPU (Graphics Processing Unit). CUDA compiler uses variation of C with future support of C++

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Computer Technician

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Real-time Graphical Shader Programming with Cg (HLSL)

Real-time Graphical Shader Programming with Cg (HLSL). Concepts and language fundamentals. Presentation Outline. Objectives Resources Shaders at a glance Graphics pipeline History Cg/HLSL Programming CgFX. Objectives. Understand purposes/uses of shaders

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GPU

GPU. Graphics Processing Unit. Graphics Pipeline. Scene Transformations. Lighting & Shading. Viewing Transformations. GPUs evolved as hardware and software algorithms evolve. Rasterization. Early Graphics. Originally, no specialized graphics hardware All processing in software on CPU,

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GPU

GPU. Graphics Processing Unit. Graphics Pipeline. Scene Transformations. Lighting & Shading. Viewing Transformations. GPUs evolved as hardware and software algorithms evolve. Rasterization. Early Graphics. Originally, no specialized graphics hardware All processing in software on CPU,

383 views • 21 slides

Is There a Real Difference between DSPs and GPUs?

Is There a Real Difference between DSPs and GPUs?. by Stephanie Mitchell and Tim Knudtson. Main Topics. Examples Used in this Presentation D.S.P. Processor Features of the D.S.P. Processor D.S.P. Architecture D.S.P. Programming G.P.U. Processor Features of the G.P.U. Processor

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Flexible Agent Based Simulation for Pedestrian Modelling on GPU Hardware

Flexible Agent Based Simulation for Pedestrian Modelling on GPU Hardware. Paul Richmond The Department of Computer Science University of Sheffield, UK paul@dcs.shef.ac.uk www.dcs.shef.ac.uk/~paul

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Display Hardware Yingcai Xiao

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Computer Hardware

Computer Hardware. This is a: Mouse Mother Board Graphics Processing Unit (GPU). This is a: Keyboard Mouse Monitor. This is a: Graphics Processing Unit (GPU) Monitor Motherboard. This is a: Monitor Keyboard Mouse. This is a: Keyboard Hard Drive (HDD) Motherboard. This is a:

236 views • 8 slides