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Employing compression solutions under

Employing compression solutions under

  • tawny-fly
  • 32 Slides

openacc. Ebad. . Salehi. , Ahmad . Lashgar. and...

PowerGrid

PowerGrid

  • conchita-marotz
  • 10 Slides

for harnessing high performance computing to rec...

Optimization and Parallelization of CBD models

Optimization and Parallelization of CBD models

  • karlyn-bohler
  • 15 Slides

Konstantinos Theodorakos. January 2015. Modern Pr...

Real-time Terrain Rendering and Processing

Real-time Terrain Rendering and Processing

  • calandra-battersby
  • 73 Slides

Shiben. . Bhattacharjee. 200607022. shiben@resea...

OpenCL Programming & Optimization Case Study

OpenCL Programming & Optimization Case Study

  • pamella-moone
  • 22 Slides

Instructor Notes. Lecture discusses parallel impl...

GVDB: Raytracing Sparse

GVDB: Raytracing Sparse

  • lindy-dunigan
  • 0 Slides

Voxel. Database Structures on the GPU. Rama . Ho...

Parallel Computing with MATLAB®

Parallel Computing with MATLAB®

  • aaron
  • 0 Slides

How to Use Parallel Computing Toolbox™ and MATL...

Rahul Sharma (Stanford) Michael Bauer (NVIDIA Research) Alex Aiken (Stanford)

Rahul Sharma (Stanford) Michael Bauer (NVIDIA Research) Alex Aiken (Stanford)

  • alexa-scheidler
  • 18 Slides

Rahul Sharma (Stanford) Michael Bauer (NVIDIA Res...

RASFX: A VLBI GPU-based software

RASFX: A VLBI GPU-based software

  • medshair
  • 32 Slides

correlator. Voytsekh Ken. Igor . Surkis. Dmitry Pa...

Genome alignment Usman Roshan

Genome alignment Usman Roshan

  • okelly
  • 11 Slides

Applications. Genome sequencing on the rise. Whole...

GPU and machine learning solutions for comparative genomics

GPU and machine learning solutions for comparative genomics

  • CottonTails
  • 26 Slides

Usman Roshan. Department of Computer Science. New ...

A Case for Core-Assisted Bottleneck Acceleration in GPUs

A Case for Core-Assisted Bottleneck Acceleration in GPUs

  • pamella-moone
  • 37 Slides

Enabling Flexible Data Compression . with Assist ...

Toward Cache-Friendly

Toward Cache-Friendly

  • alida-meadow
  • 18 Slides

Hardware Accelerators. Yakun. Sophia Shao, Sam X...

Prepared 6/4/2011 by T. O’Neil for 3460:677, Fall 2011, T

Prepared 6/4/2011 by T. O’Neil for 3460:677, Fall 2011, T

  • sherrill-nordquist
  • 88 Slides

CUDA Lecture 1. Introduction to Massively Paralle...

Filtering Approaches for

Filtering Approaches for

  • liane-varnes
  • 70 Slides

Real-Time Anti-Aliasing . http://. www.iryoku.com...

Parallel View-Dependent Tessellation of Catmull-Clark Subdi

Parallel View-Dependent Tessellation of Catmull-Clark Subdi

  • alexa-scheidler
  • 47 Slides

Anjul Patney. 1. Mohamed S. Ebeida. 2. Jo...

Announcements

Announcements

  • myesha-ticknor
  • 55 Slides

None for today!. Keep doing a good job!. Lecture ...

Stencil Framework for Portable High Performance Computing

Stencil Framework for Portable High Performance Computing

  • jane-oiler
  • 37 Slides

Naoya Maruyama. RIKEN Advanced Institute for Comp...

Harmonica GPU

Harmonica GPU

  • lindy-dunigan
  • 32 Slides

©Chad Kersey and Sudhakar Yalamanchili unless o...

The “Chimera”: An Off-The-Shelf CPU/GPGPU/FPGA Hybrid

The “Chimera”: An Off-The-Shelf CPU/GPGPU/FPGA Hybrid

  • conchita-marotz
  • 19 Slides

Computing Platform. Publication:. Ra . Inta. , Da...

Sparse Matrix Algorithms on GPUs and their Integration into

Sparse Matrix Algorithms on GPUs and their Integration into

  • debby-jeon
  • 30 Slides

&. Miriam . Leeser. Dana ...

Rahul Sharma (Stanford)

Rahul Sharma (Stanford)

  • tatyana-admore
  • 18 Slides

Michael Bauer (NVIDIA Research). Alex Aiken (Stan...

VOCL-FT: Introducing Techniques for Efficient Soft Error Co

VOCL-FT: Introducing Techniques for Efficient Soft Error Co

  • cheryl-pisano
  • 21 Slides

Antonio J. Peña, . Wesley Bland. , . Pavan. . B...

Advanced Computer Architecture

Advanced Computer Architecture

  • sherrill-nordquist
  • 80 Slides

Data-Level Parallel Architectures. Course 5MD00. ...

Harmonica GPU

Harmonica GPU

  • pasty-toler
  • 23 Slides

©Chad Kersey and Sudhakar Yalamanchili unless o...

Contents of the Lecture

Contents of the Lecture

  • jane-oiler
  • 81 Slides

1. . Introduction. 2. . Methods for I/O Operation...

Scalable Real-time Volumetric Surface Reconstruction

Scalable Real-time Volumetric Surface Reconstruction

  • min-jolicoeur
  • 19 Slides

Jiawen. Chen Dennis . Bautembach. . Shahram. I...

Going Dutch: How to Share

Going Dutch: How to Share

  • celsa-spraggs
  • 0 Slides

a . Dedicated Distributed Infrastructure . for Co...

Programming Multiple Devices

Programming Multiple Devices

  • debby-jeon
  • 0 Slides

Instructor Notes. This lecture describes the diff...

Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Processors and GPUs

Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Processors and GPUs

  • kittie-lecroy
  • 0 Slides

August 31, 2017. G. . Cerati. 4. , . P. Elmer. 3....

Vblock ™ Systems for End User Computing

Vblock ™ Systems for End User Computing

  • karlyn-bohler
  • 0 Slides

WOW!. Agenda. Why VCE?. Why EUC?. Why Flash?. VCE...

Parallel Implementations

Parallel Implementations

  • test
  • 0 Slides

. of. . Ensemble. . Kalman. . Filters. for Hu...

GPU Computing with CUDA

GPU Computing with CUDA

  • briana-ranney
  • 81 Slides

GPU Computing with CUDA © Dan Negrut, 2012 UW-M...

CUDA - 101 Basics Overview

CUDA - 101 Basics Overview

  • broadcastworld
  • 27 Slides

What is CUDA?. Data Parallelism. Host-Device model...

Student: Petra Loncar FESB, University

Student: Petra Loncar FESB, University

  • maxasp
  • 10 Slides

of. Split. Performance. . comparison. for NVIDI...

Triggering Events with GPUs at ATLAS

Triggering Events with GPUs at ATLAS

  • bikersphobia
  • 18 Slides

S. Kama. , . J. Augusto . Soares. , J. . Baines, M...

[PDF]-Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs

[PDF]-Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs

  • janoahjamaahl
  • 100 Slides

The Desired Brand Effect Stand Out in a Saturated ...

1 Lecture: 3D CNNs, Gradient Compression

1 Lecture: 3D CNNs, Gradient Compression

  • ella
  • 12 Slides

Topics: . Diffy. , Morph, Gradient Compression. 3D...

CPUs, GPUs, accelerators and memory

CPUs, GPUs, accelerators and memory

  • joanne
  • 34 Slides

Andrea Sciabà. On behalf of the Technology Watch ...

A Software Defined Radio for CCSDS 131.2-B protocol: exploiting Graphics Processing Unit accelerato

A Software Defined Radio for CCSDS 131.2-B protocol: exploiting Graphics Processing Unit accelerato

  • belinda
  • 33 Slides

Roberto Ciardi. , Gianluca Giuffrida, Matteo Berto...

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