Data Instruction Single Instruction SI Multiple Instruction MI

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Классификация архитектур • Виды параллелизма – На уровне данных (Data) – На уровне задач

Классификация архитектур • Виды параллелизма – На уровне данных (Data) – На уровне задач (Instruction) Single Instruction (SI) Multiple Instruction (MI) Single Data (SD) SISD Multiple Data (MD) SIMD MIMD *GPU: SIMT – Single Instruction Multiple Thread

Архитектура GPU: Device Texture Processing Cluster SM . . . Texture . . .

Архитектура GPU: Device Texture Processing Cluster SM . . . Texture . . . SM L 2 Device RAM

Архитектура GPU: TPC Texture memory Texture Processing Cluster (TPC) Streaming Multiprocessor. . . Streaming

Архитектура GPU: TPC Texture memory Texture Processing Cluster (TPC) Streaming Multiprocessor. . . Streaming Multiprocessor • Кластер текстурных блоков (TPC) – Память для текстур – Потоковый мультипроцессор

Эволюция GPU Shader T&L Voodoo Floatingpoint GPGPU

Эволюция GPU Shader T&L Voodoo Floatingpoint GPGPU

GPGPU • General-Purpose Computation on GPU – Вычисления на GPU общего (неграфического) назначения –

GPGPU • General-Purpose Computation on GPU – Вычисления на GPU общего (неграфического) назначения – AMD Fire. Stream – NVIDIA CUDA – Direct. Compute (Direct. X 10) – Open. CL

CUDA – Compute Unified Device Architecture • Host – CPU (Central Processing Unit) •

CUDA – Compute Unified Device Architecture • Host – CPU (Central Processing Unit) • Device – GPU (Graphics Processing Unit)

Переменные ядра • • • dim 3 grid. Dim unit 3 block. Idx dim

Переменные ядра • • • dim 3 grid. Dim unit 3 block. Idx dim 3 block. Dim uint 3 thread. Idx int warp. Size

Общая структура программы CUDA __global__ void Kernel(float* data) {. . . } void main()

Общая структура программы CUDA __global__ void Kernel(float* data) {. . . } void main() {. . . Kernel<<>>(data); } . . .

Литература • NVIDIA Developer Zone – http: //developer. nvidia. com/cuda • NVIDAI CUDA –

Литература • NVIDIA Developer Zone – http: //developer. nvidia. com/cuda • NVIDAI CUDA – Неграфические вычисления на графических процессорах – http: //www. ixbt. com/video 3/cuda-1. shtml • Создание простого приложения CUDA в Visual Studio 2010 – http: //mezhov. blogspot. com/2011/09/cuda-visualstudio-2010. html

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