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Parallel Implementation of Multivariate Empirical Mode Decomposition on GPU

Parallel Implementation of Multivariate Empirical Mode Decomposition on GPU

  • samson265
  • 15 Slides

University of Pannonia. Veszprem, Hungary. Zeyu Wa...

Scaling Distributed Machine Learning using HPC

Scaling Distributed Machine Learning using HPC

  • julio
  • 9 Slides

Abid M. Malik. Meifeng. Lin (PI). Collaborators: ...

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 ...

An Effective GPU Implementation of BreadthFirst Search Lijuan Luo Martin Wong Wenmei Hwu Department of Electrical and Computer Engineering University of Illinois at UrbanaChampaign lluo mdfwong whwui

An Effective GPU Implementation of BreadthFirst Search Lijuan Luo Martin Wong Wenmei Hwu Department of Electrical and Computer Engineering University of Illinois at UrbanaChampaign lluo mdfwong whwui

  • phoebe-click
  • 4 Slides

edu ABSTRACT Breadth64257rst search BFS has wide a...

Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators Hatem Ltaief Stanimire Tomov Rajib Nath and Jack Dongarra Department of Electrical Engineering and Computer Science Universit

Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators Hatem Ltaief Stanimire Tomov Rajib Nath and Jack Dongarra Department of Electrical Engineering and Computer Science Universit

  • olivia-moreira
  • 21 Slides

utkedu Abstract We present a Cholesky factorizatio...

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators LAPACK Working Note Hatem Ltaief Stanimire Tomov Rajib Nath Peng Du and Jack Dongarra Department of Electric

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators LAPACK Working Note Hatem Ltaief Stanimire Tomov Rajib Nath Peng Du and Jack Dongarra Department of Electric

  • myesha-ticknor
  • 18 Slides

utkedu Abstract We present a Cholesky factorizatio...

Figure An illustration of the architecture of our CNN

Figure An illustration of the architecture of our CNN

  • kittie-lecroy
  • 1 Slides

One GPU runs the layerparts at the top of the 642...

1IntroductionPLUMED[1]isapluginforfreeenergycalculationinmolecularsyst

1IntroductionPLUMED[1]isapluginforfreeenergycalculationinmolecularsyst

  • natalia-silvester
  • 16 Slides

POLY,AMBERandLAMMPS),GPU-accelerated(ACEMD)andab-i...

Cracking AT&T U-verse Default WPA1/2 Passwords.

Cracking AT&T U-verse Default WPA1/2 Passwords.

  • trish-goza
  • 25 Slides

by Jason Wheeler. Awesome blog: . http://blog.ini...

INF5062 – GPU & CUDA

INF5062 – GPU & CUDA

  • trish-goza
  • 49 Slides

Håkon Kvale . Stensland. Simula Research Laborat...

Advanced

Advanced

  • tatyana-admore
  • 45 Slides

Graphics . and Performance. DirectX . 12. . Max ...

Heterogeneous System coherence

Heterogeneous System coherence

  • danika-pritchard
  • 48 Slides

f. or . Integrated CPU-GPU Systems. Jason Power*....

AnElegantlySimpleDesignPattern

AnElegantlySimpleDesignPattern

  • trish-goza
  • 100 Slides

An for Building Multi GPU Applications SrStaff Res...

Video Cards, GPU, & Monitors

Video Cards, GPU, & Monitors

  • giovanna-bartolotta
  • 31 Slides

By Patrick . Laughrige. Kofi Asante. Will Tiller....

GPU-accelerated SDR Implementation of Multi-User Detector

GPU-accelerated SDR Implementation of Multi-User Detector

  • liane-varnes
  • 34 Slides

for . Satellite Return Links. > Sino-German Wo...

Beyond

Beyond

  • calandra-battersby
  • 81 Slides

Porting. How . Modern OpenGL can Radically Reduce...

Max McMullen

Max McMullen

  • stefany-barnette
  • 69 Slides

Direct3D Development Lead. 3-564: Direct3D 12 API...

RemoteFX

RemoteFX

  • cheryl-pisano
  • 29 Slides

. and RDP Rocking RDS . in . Windows Server 2012...

Harnessing GPU

Harnessing GPU

  • myesha-ticknor
  • 75 Slides

compute with . C++ Accelerated Massive Parallelis...

409621

409621

  • karlyn-bohler
  • 20 Slides

Large Scale Visual Recognition Challenge (ILSVRC)...

Mark Harris

Mark Harris

  • danika-pritchard
  • 75 Slides

NVIDIA Corporation. Tesla GPU Computing. A Revolu...

Parallel Tessellation using compute shaders

Parallel Tessellation using compute shaders

  • sherrill-nordquist
  • 40 Slides

Team Members: . . David Sierra . . Erwin . Ho...

Real-Time Reyes: Programmable Pipelines and Research Challe

Real-Time Reyes: Programmable Pipelines and Research Challe

  • debby-jeon
  • 64 Slides

Anjul Patney. University of California, Davis. Re...

Real-Time Reyes-Style Adaptive Surface Subdivision

Real-Time Reyes-Style Adaptive Surface Subdivision

  • faustina-dinatale
  • 77 Slides

Anjul Patney, John Owens. University of Californi...

Fermi

Fermi

  • conchita-marotz
  • 26 Slides

A Complete GPU Compute Architecture by NVIDIA. Ta...

GPU-Efficient Recursive Filtering and Summed-Area Tables

GPU-Efficient Recursive Filtering and Summed-Area Tables

  • kittie-lecroy
  • 101 Slides

Jeremiah van Oosten. Reinier. van . Oeveren. Int...

Silverlight Performance

Silverlight Performance

  • phoebe-click
  • 92 Slides

on the Windows Phone. Seema Ramchandani. Silverli...

Delaunay Triangulation on the GPU

Delaunay Triangulation on the GPU

  • sherrill-nordquist
  • 45 Slides

Dan . Maljovec. CPU Delaunay Triangulation. Rando...

Optimization on

Optimization on

  • lindy-dunigan
  • 48 Slides

Kepler. Zehuan Wang. zehuan@nvidia.com. Fundament...

GPU Threads and Scheduling

GPU Threads and Scheduling

  • yoshiko-marsland
  • 19 Slides

Instructor Notes. This lecture deals with how wor...

A Whirlwind

A Whirlwind

  • celsa-spraggs
  • 53 Slides

Tour . of Vulkan. Graham . Sellers, AMD. @. graha...

VAST: The Illusion of a Large Memory Space for GPUs

VAST: The Illusion of a Large Memory Space for GPUs

  • luanne-stotts
  • 33 Slides

Janghaeng Lee. , . Mehrzad. . Samadi. , and . Sc...

CS179: GPU Programming

CS179: GPU Programming

  • tatyana-admore
  • 36 Slides

Lecture . 5: Memory. Today. GPU Memory Overview. ...

Chimera: Collaborative Preemption for Multitasking on a Sha

Chimera: Collaborative Preemption for Multitasking on a Sha

  • alexa-scheidler
  • 33 Slides

Jason Jong Kyu Park. 1. , . Yongjun. Park. 2. , ...

Enabling Dynamic Memory Management Support for MTC on NVIDI

Enabling Dynamic Memory Management Support for MTC on NVIDI

  • phoebe-click
  • 1 Slides

Proposed Work. This . work aims . to enable effic...

Optimize Algorithms for the

Optimize Algorithms for the

  • lindy-dunigan
  • 100 Slides

Spring 2010 Prof. Hyesoon Kim • GPU &#x...

DEEP LEARNING GPU TRAINING SYSTEM

DEEP LEARNING GPU TRAINING SYSTEM

  • celsa-spraggs
  • 100 Slides

DIGITS 1 Introduction to Deep Learning 2 What is ...

Writing Efficient CUDA Programs

Writing Efficient CUDA Programs

  • olivia-moreira
  • 58 Slides

Martin Burtscher. Department of Computer Science....

A Hierarchical Volumetric Shadow

A Hierarchical Volumetric Shadow

  • faustina-dinatale
  • 47 Slides

Algorithm for Single Scattering. Ilya. . Baran. ...

Pa$$w3rd c0mpl3X1ty

Pa$$w3rd c0mpl3X1ty

  • calandra-battersby
  • 71 Slides

BRKSEC-1005v. Who am I and Why Should You Listen?...

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