'Nvidia cuda programming guide' diaporamas de présentation

OpenCL

OpenCL. Joseph Kider University of Pennsylvania CIS 565 - Fall 2011. Sources. Patrick Cozzi Spring 2011 NVIDIA CUDA Programming Guide CUDA by Example Programming Massively Parallel Processors. Image from: http://www.khronos.org/developers/library/overview/opencl_overview.pdf . OpenCL.

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Leveraging GPUs for Application Acceleration Dan Ernst Cray, Inc.

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What is GPGPU?

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Scalable Learning in Computer Vision

Scalable Learning in Computer Vision. Adam Coates Honglak Lee Rajat Raina Andrew Y. Ng Stanford University. Computer Vision is Hard. Introduction. One reason for difficulty: small datasets. Introduction. But the world is complex.

407 views • 29 slides

The Discrete Cosine Transform (DCT)

Christopher Mitchell CDA 6938, Spring 2009. The Discrete Cosine Transform (DCT). The Discrete Cosine Transform. In the same family as the Fourier Transform Converts data to frequency domain. Represents data via summation of variable frequency cosine waves.

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Programming of multiple GPUs with CUDA and Qt library

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Would'a, CUDA, Should'a.

CUDA: Compute Unified Device Architecture OU Supercomputing Symposium Highly-Threaded HPC. Would'a, CUDA, Should'a. Jargon Alert. This field is filled with jargon CUDA != GPGPU programming CUDA is a C-like language that facilitates getting your code onto the GPU

291 views • 18 slides