Lecture23-GPGPU

Lecture23-GPGPU - GPUs and GPGPUs CS 455 Objectives...

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GPUs and GPGPUs CS 455
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Objectives Differentiate between integrated and discrete or dedicated memory on the GPU. Design algorithms for the GPGPU.
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GPUs CPU GPU Memory Shared, or “integrated” architecture. CPU GPU Memory Dedicated memory.
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GPUs CPU GPU Memory Shared, or “integrated” architecture. 12.8 GB/s Intel GMA X3100 CPU GPU Memory Dedicated memory. 103.7 GB/s vNidia GeForce 8800 Ultra
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Integrated vs. Dedicated Integrated 384 MB (max) 12.8 GB/s 8 pipelines Not clear Intel GM995 chip set. Dedicated 768 MB 103.7 GB/s 128 pipelines $669 vNidia GeForce 8800 Ultra
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Programming the GPU User Program Geometry Processing Pixel Shader Screen Triangle_strip Vertex shader Visible? Framebuffer Includes lighting
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Programming the GPU User Program Geometry Processing Pixel Shader Screen Triangle_strip Vertex shader Visible? Framebuffer SIMD model, so assume all of your data gets processed simultaneously.
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Programming the GPU User Program Geometry Processing
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This note was uploaded on 03/02/2012 for the course C S 455 taught by Professor Jones,m during the Winter '08 term at BYU.

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Lecture23-GPGPU - GPUs and GPGPUs CS 455 Objectives...

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