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Fast Deformable Registration on the GPU A CUDA Implementation of Demons Pnar Muyan Ozcelik John D

Fast Deformable Registration on the GPU A CUDA Implementation of Demons Pnar Muyan Ozcelik John D

  • yoshiko-marsland
  • 11 Slides

Owens University of California Davis One Shields ...

Journal of Machine Learning Research Submitted Published Text Classication using String Kernels Huma Lodhi humacs

Journal of Machine Learning Research Submitted Published Text Classication using String Kernels Huma Lodhi humacs

  • tatyana-admore
  • 26 Slides

rhulacuk Craig Saunders craigcsrhulacuk John Shawe...

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

  • liane-varnes
  • 8 Slides

FF can be used for general signal restoration tas...

Convolution Kernels for Natural Language Michael Collins ATT LabsResearch Park Avenue New Jersey NJ mcollinsresearch

Convolution Kernels for Natural Language Michael Collins ATT LabsResearch Park Avenue New Jersey NJ mcollinsresearch

  • alexa-scheidler
  • 8 Slides

attcom Nigel Duffy Department of Computer Science ...

Supervised Hashing with Kernels Wei Liu Jun Wang Rongrong Ji YuGang Jiang ShihFu Chang Electrical Engineering Department Columbia University New York NY USA IBM T

Supervised Hashing with Kernels Wei Liu Jun Wang Rongrong Ji YuGang Jiang ShihFu Chang Electrical Engineering Department Columbia University New York NY USA IBM T

  • celsa-spraggs
  • 8 Slides

J Watson Research Center Yorktown Heights NY USA ...

Dynamic Parallelism in CUDA is supported via an extension to the CUDA programming model that enables a CUDA kernel to create and synchronize new nested work

Dynamic Parallelism in CUDA is supported via an extension to the CUDA programming model that enables a CUDA kernel to create and synchronize new nested work

  • min-jolicoeur
  • 3 Slides

Basically a child CUDA Kernel can be called from ...

Histograms of Oriented Optical Flow and BinetCauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions Rizwan Chaudhry Avinash Ravichandran Gregory Hager and Ren e Vidal Cent

Histograms of Oriented Optical Flow and BinetCauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions Rizwan Chaudhry Avinash Ravichandran Gregory Hager and Ren e Vidal Cent

  • celsa-spraggs
  • 8 Slides

g BinetCauchy kernels However such approaches are...

Whitepaper NVIDIAs Next Generation CUDA TM Compute Architecture Kepler

Whitepaper NVIDIAs Next Generation CUDA TM Compute Architecture Kepler

  • natalia-silvester
  • 24 Slides

brPage 1br Whitepaper NVIDIAs Next Generation CUDA...

Whitepaper NVIDIAs Next Generation CUDA TM Compute Architecture Fermi TM V

Whitepaper NVIDIAs Next Generation CUDA TM Compute Architecture Fermi TM V

  • alida-meadow
  • 22 Slides

1 brPage 2br Table of Contents Table of Contents T...

FineGrained Resource Sharing for Concurrent GPGPU Kernels Chris Gregg Jonathan Dorn Kim Hazelwood Kevin Skadron Department of Computer Science University of Virginia PO Box Charlottesville VA ABSTR

FineGrained Resource Sharing for Concurrent GPGPU Kernels Chris Gregg Jonathan Dorn Kim Hazelwood Kevin Skadron Department of Computer Science University of Virginia PO Box Charlottesville VA ABSTR

  • kittie-lecroy
  • 6 Slides

However in some cases it is possible to utilize d...

Subgraph Matching Kernels for Attributed Graphs Nils K

Subgraph Matching Kernels for Attributed Graphs Nils K

  • stefany-barnette
  • 8 Slides

kriegecstudortmundde Petra Mutzel petramutzelcstud...

Coinciding Walk Kernels Marion Neumann BIT University

Coinciding Walk Kernels Marion Neumann BIT University

  • yoshiko-marsland
  • 7 Slides

neumannuni bonnde Roman Garnett CS University of B...

Compactly Supported Radial Basis Function Kernels HaoH

Compactly Supported Radial Basis Function Kernels HaoH

  • karlyn-bohler
  • 21 Slides

Radial basis function RBF kernels are commonly us...

Inverse Kernels for Fast Spatial Deconvolution Li Xu X

Inverse Kernels for Fast Spatial Deconvolution Li Xu X

  • natalia-silvester
  • 16 Slides

Deconvolution is an indispensable tool in image p...

Polynomial Kernels for Dominating Set in Graphs of Bou

Polynomial Kernels for Dominating Set in Graphs of Bou

  • pasty-toler
  • 26 Slides

gphilipvraman imscresin RWTH Aachen University Aa...

Hybrid maize breeding with doub led haploid lines quan

Hybrid maize breeding with doub led haploid lines quan

  • tatiana-dople
  • 14 Slides

ij DD ij ij ij ij ij DD DD DD brPage 4br DD ii TA...

FOR IMPROVED SILAGE YIELD AND QUALITY Since 1986, I have dedicate

FOR IMPROVED SILAGE YIELD AND QUALITY Since 1986, I have dedicate

  • giovanna-bartolotta
  • 10 Slides

These silage blendswere composed of grain hyb...

HOW TO PROCESS

HOW TO PROCESS

  • kittie-lecroy
  • 18 Slides

PREMIUM . QUALITY SHEA . BUTTER. . Germinate...

Communication-Avoiding Algorithms

Communication-Avoiding Algorithms

  • celsa-spraggs
  • 64 Slides

for Linear Algebra and Beyond. Jim . Demmel. EECS...

Introduction to CUDA

Introduction to CUDA

  • alexa-scheidler
  • 45 Slides

heterogeneous programming. Katia Oleinik. koleini...

Rethinking Component Based

Rethinking Component Based

  • test
  • 18 Slides

Software Engineering. Don Batory, Bryan Marker, ....

Chung Sheng CHEN,

Chung Sheng CHEN,

  • kittie-lecroy
  • 27 Slides

Nauful. SHAIKH, . Panitee. CHAROENRATTANARUK, ....

Introduction

Introduction

  • trish-goza
  • 46 Slides

Data-ParallelLanguages Data-ParallelLanguagesOpenC...

CUDA C/C++ BASICS

CUDA C/C++ BASICS

  • test
  • 68 Slides

NVIDIA . Corporation. © NVIDIA 2013. What is CUD...

GPU programming: CUDA

GPU programming: CUDA

  • alida-meadow
  • 29 Slides

. Acknowledgement: the lecture materials are bas...

Using Graphics Processors for Real-Time Global Illumination

Using Graphics Processors for Real-Time Global Illumination

  • luanne-stotts
  • 26 Slides

UK GPU Computing Conference 2011. Graham Hazel. W...

GPU Programming Model

GPU Programming Model

  • danika-pritchard
  • 63 Slides

Dr A . Sahu. Dept of Comp Sc & . Engg. . . II...

INF5062 – GPU & CUDA

INF5062 – GPU & CUDA

  • trish-goza
  • 49 Slides

Håkon Kvale . Stensland. Simula Research Laborat...

Introduction to the

Introduction to the

  • liane-varnes
  • 18 Slides

CUDA Platform. CUDA Parallel Computing Platform. ...

Validation of MOPITT Retrievals of Carbon MonoxideLouisa Emmons, Merri

Validation of MOPITT Retrievals of Carbon MonoxideLouisa Emmons, Merri

  • briana-ranney
  • 3 Slides

Fig. 1. Typical averaging kernels for MOPITT CO pr...

Applicationsvs.Comp.kernels[Sameh+'84]123456789

Applicationsvs.Comp.kernels[Sameh+'84]123456789

  • pamella-moone
  • 15 Slides

LatticeGauge(QCD)*..*....*.quantummechanics...*..*...

CUDA Creatures

CUDA Creatures

  • mitsue-stanley
  • 1 Slides

Andrew HershbergerVadim OgievetskyJuly 17th, 2010 ...

Canny Edge Detection Using an NVIDIA GPU and CUDA

Canny Edge Detection Using an NVIDIA GPU and CUDA

  • phoebe-click
  • 22 Slides

Alex Wade. CAP6938 Final Project. Introduction. G...

Computing with Accelerators: Overview

Computing with Accelerators: Overview

  • jane-oiler
  • 35 Slides

ITS Research Computing. Mark Reed . Objectives. L...

CUDA Warps and OccupancyCUDA Warps and Occupancy

CUDA Warps and OccupancyCUDA Warps and Occupancy

  • conchita-marotz
  • 14 Slides

GPU Computing Webinar 7/12/2011 Dr. Justin Luitjen...

Crack Propagation in Brittle Solids

Crack Propagation in Brittle Solids

  • yoshiko-marsland
  • 10 Slides

CUDA Simulation. Benjy. Kessler. Given a brittle...

Water Vapor and Cloud Feedbacks

Water Vapor and Cloud Feedbacks

  • jane-oiler
  • 52 Slides

Dennis L. Hartmann. in collaboration with Mark Ze...

CUDA programming

CUDA programming

  • pamella-moone
  • 38 Slides

Performance considerations. (CUDA best practices)...

GPU Performance Optimisation

GPU Performance Optimisation

  • kittie-lecroy
  • 29 Slides

Alan Gray. EPCC . The University of Edinburgh. Ha...

Intermediate

Intermediate

  • jane-oiler
  • 63 Slides

GPGPU Programming in CUDA. Supada . Laosooksathi...

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