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Performance tips for Windows Store apps using DirectX and C

Performance tips for Windows Store apps using DirectX and C

  • pasty-toler
  • 45 Slides

Max McMullen. Principal Development Lead – Dire...

Introduction to the

Introduction to the

  • liane-varnes
  • 18 Slides

CUDA Platform. CUDA Parallel Computing Platform. ...

Rendering battlefield 4

Rendering battlefield 4

  • briana-ranney
  • 53 Slides

with mantle. Johan Andersson – Electronic Arts....

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...

Intro to GPU’s for Parallel Computing

Intro to GPU’s for Parallel Computing

  • lindy-dunigan
  • 15 Slides

Goals for Rest of Course. Learn how to program ma...

Microarchitectural

Microarchitectural

  • mitsue-stanley
  • 27 Slides

Performance Characterization of. Irregular . GPU ...

Fluidic Kernels: Cooperative Execution of

Fluidic Kernels: Cooperative Execution of

  • pasty-toler
  • 47 Slides

OpenCL. Programs on Multiple Heterogeneous Devic...

GPU Programming

GPU Programming

  • lindy-dunigan
  • 24 Slides

David Gilbert. California State University, Los A...

Optimal Power Allocation for Multiprogrammed Workloads on

Optimal Power Allocation for Multiprogrammed Workloads on

  • debby-jeon
  • 26 Slides

Single-chip Heterogeneous Processors. Euijin Kwon...

Mapping Irregular

Mapping Irregular

  • giovanna-bartolotta
  • 9 Slides

Computations . to GPUs. Graphics processors (GPUs...

Optimizing Similarity Computations for Ontology Matching -

Optimizing Similarity Computations for Ontology Matching -

  • myesha-ticknor
  • 27 Slides

from . GOMMA. Michael . Hartung. , Lars Kolb, . A...

Modern GPU Architectures

Modern GPU Architectures

  • test
  • 43 Slides

Varun Sampath. University of Pennsylvania. CIS 56...

FAT-GPU: Formal Analysis Techniques for GPU Kernels

FAT-GPU: Formal Analysis Techniques for GPU Kernels

  • marina-yarberry
  • 72 Slides

Alastair Donaldson. Imperial College London. www....

GPU-Efficient Recursive Filtering and Summed-Area Tables

GPU-Efficient Recursive Filtering and Summed-Area Tables

  • yoshiko-marsland
  • 56 Slides

D. Nehab. 1. A. Maximo. 1. R. S. Lima. ...

GPU-Efficient Recursive Filtering and Summed-Area Tables

GPU-Efficient Recursive Filtering and Summed-Area Tables

  • stefany-barnette
  • 58 Slides

D. Nehab. 1. A. Maximo. 1. R. S. Lima. ...

MAGMA (Matrix Algebra on GPU and Multicore Architectures) is a collect

MAGMA (Matrix Algebra on GPU and Multicore Architectures) is a collect

  • cheryl-pisano
  • 100 Slides

1 GPU 2 GPUs MKLMATRIX SIZE GPUIntel Xeon ES-2670 ...

Stadium

Stadium

  • giovanna-bartolotta
  • 24 Slides

H. ashing: . Scalable and Flexible Hashing on GPU...

GPU Computing with

GPU Computing with

  • giovanna-bartolotta
  • 49 Slides

OpenACC. Directives. subroutine . saxpy. (n, a, ...

Fine-grain Task Aggregation and Coordination on GPUs

Fine-grain Task Aggregation and Coordination on GPUs

  • danika-pritchard
  • 24 Slides

Marc S. Orr. †§. , Bradford M. Beckmann. §. ,...

CPU/GPU

CPU/GPU

  • alexa-scheidler
  • 43 Slides

を協調利用する. ソフトウェア開発...

More Charm++/TAU examples

More Charm++/TAU examples

  • yoshiko-marsland
  • 13 Slides

Applications:. NAMD. Parallel Framework for Unstr...

GPU Computing with CUDA

GPU Computing with CUDA

  • tawny-fly
  • 228 Slides

© Dan Negrut, . 2012. UW-Madison. Dan Negrut. Si...

SE263 Video Analytics

SE263 Video Analytics

  • marina-yarberry
  • 24 Slides

Course Project Initial Report. Presented by M. . ...

Parallelizing and Optimizing Programs for GPU Acceleration

Parallelizing and Optimizing Programs for GPU Acceleration

  • olivia-moreira
  • 113 Slides

Martin Burtscher. Department of Computer Science....

ATTILA A. YAVUZ (OREGON STATE UNIVERSITY)

ATTILA A. YAVUZ (OREGON STATE UNIVERSITY)

  • alida-meadow
  • 33 Slides

IOANNIS PAPAPANAGIOTOU, PHD. ANAND MUDGERIKAR, ...

Heterogeneous Architectures

Heterogeneous Architectures

  • min-jolicoeur
  • 1 Slides

Effects of Application Interference. Scheme. Summ...

INF5063 – GPU & CUDA

INF5063 – GPU & CUDA

  • tatyana-admore
  • 44 Slides

Håkon Kvale . Stensland. iAD-lab, Department for...

Miao Yu

Miao Yu

  • natalia-silvester
  • 30 Slides

, Virgil D. Gligor, and . Zongwei. Zhou. CyLab. ...

PTask

PTask

  • faustina-dinatale
  • 39 Slides

: Operating System Abstractions to Manage GPUs as...

Kargus

Kargus

  • test
  • 45 Slides

: A Highly-scalable Software-based . Intrusion De...

Floating-Point Data Compression

Floating-Point Data Compression

  • cheryl-pisano
  • 19 Slides

at 75 Gb/s on a GPU. Molly A. O’Neil and Martin...

Natural Neighbor Based Grid DEM Construction Using a GPU

Natural Neighbor Based Grid DEM Construction Using a GPU

  • pasty-toler
  • 70 Slides

Alex Beutel. Duke University. Joint work with . P...

Gordon Selley

Gordon Selley

  • liane-varnes
  • 49 Slides

Tony Hosier. AMD GPU Developer Tools TEAM. Optimi...

Accelerating Fully

Accelerating Fully

  • danika-pritchard
  • 19 Slides

Homomorphic. Encryption on GPUs. Wei Wang, Yin H...

Mantle for developers

Mantle for developers

  • conchita-marotz
  • 41 Slides

Johan Andersson – technical director. Frostbite...

Sponsors

Sponsors

  • celsa-spraggs
  • 37 Slides

: National Science Foundation, LogicBlox Inc. . ,...

Computing 2D Constrained Delaunay Triangulation Using the G

Computing 2D Constrained Delaunay Triangulation Using the G

  • celsa-spraggs
  • 40 Slides

. March 9, 2012. Speaker:. Meng . Qi. co-author...

Energy-Efficient Query Processing on

Energy-Efficient Query Processing on

  • yoshiko-marsland
  • 25 Slides

Embedded CPU-GPU Architectures. Xuntao Cheng. , B...

GPU-Driven Rendering Pipelines

GPU-Driven Rendering Pipelines

  • tatiana-dople
  • 60 Slides

Ulrich Haar, Lead Programmer 3D, . Ubisoft. Mont...

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