GPGPU

Results: 1378



#Item
991Computing / Nvidia / Computational neuroscience / Video cards / Electronics / CUDA / Neural network / Theano / Graphics processing unit / GPGPU / Graphics hardware / Computer hardware

Caffe: Convolutional Architecture for Fast Feature Embedding∗ Yangqing Jia∗ , Evan Shelhamer∗ , Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell UC Berkeley EECS, Berkel

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Source URL: arxiv.org

Language: English - Date: 2014-08-21 20:13:43
992Nvidia / Graphics hardware / Video cards / Video game hardware / CUDA / OpenCL / Thread / Graphics processing unit / Parallel computing / GPGPU / Computer hardware / Computing

Practical Introduction to CUDA and GPU Charlie Tang Centre for Theoretical Neuroscience October 9, 2009

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Source URL: compneuro.uwaterloo.ca

Language: English - Date: 2009-10-15 15:51:48
993Software / Graphics hardware / GPGPU / Shading / Virtual reality / Shader / OpenGL / OpenCL / Graphics processing unit / Computer graphics / Computing / 3D computer graphics

Metal Programming Guide Contents About Metal and this Guide 7

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Source URL: developer.apple.com

Language: English - Date: 2014-11-21 15:00:30
994Electronics / GPGPU / OpenCL / Brand management / Patent law / Steve Jobs / Trademark / Royalties / Khronos Group / Intellectual property law / Computing / Business

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Source URL: devimages.apple.com.edgekey.net

Language: English - Date: 2009-08-28 18:17:11
995Graphics hardware / Magnetic resonance imaging / Linear algebra / Nvidia / Video cards / CUDA / Medical imaging / Graphics processing unit / Iterative reconstruction / GPGPU / Algebra / Computer hardware

ELEKS’ CUDA™-Accelerated Image Processing for Healthcare ELEKS helps a medical device company reduce patient assessment time by accelerating Magnetic Resonance Imaging

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Source URL: eleks.com

Language: English
996Graphics processing unit / Logo / Typography of Apple Inc. / Computing / Electronics / GPGPU / OpenCL / Computer hardware

OpenCL Logo Guidelines Overview OpenCL™ (Open Computing Language) is a framework that increases application performance by enabling efficient parallel programming of a variety of CPUs, GPUs,

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Source URL: devimages.apple.com.edgekey.net

Language: English - Date: 2010-02-11 19:58:30
997Computing / Graphics hardware / GeForce / Nvidia Quadro / CUDA / GPGPU / Comparison of Nvidia graphics processing units / OpenCL / AMD FireStream / Video cards / Nvidia / Computer hardware

European Seventh Framework Programme FP7[removed]Collaborative Project[removed]Deliverable D1.2: “Report on NS and CS hardware construction”

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Source URL: www.indect-project.eu

Language: English - Date: 2010-09-15 15:27:08
998Parallel computing / Procedural programming languages / Graphics hardware / Video cards / GPGPU / The Portland Group / Fortran / Accelerator / CUDA / Computing / Computer programming / Software

PGI Fortran & C Accelerator Programming Model v1.1

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Source URL: www.softek.co.jp

Language: English - Date: 2011-06-28 03:00:00
999Technology / Accelerator / Twitter / Graphics processing unit / Computing / Graphics hardware / GPGPU / World Wide Web

NVIDIA TECHNOLOGY Mark Ebersole ACM Learning Center http://learning.acm.org

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Source URL: learning.acm.org

Language: English - Date: 2014-04-01 16:25:03
1000GPGPU / Graphics hardware / Nvidia / Concurrent computing / Video cards / CUDA / Fortran / Thread / Subroutine / Computing / Computer programming / Software engineering

Microsoft Word - CudaFortran.1.2_v1.doc

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Source URL: www.softek.co.jp

Language: English - Date: 2011-06-28 02:59:58
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