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Buffer d Trees Processing Massive Nearest Neighbor Queries on GPUs Fabian Gieseke FABIAN GIESEKE DIKU DK Department of Computer Science University of Copenhagen Universitetsparken Copenhagen Denmark

Buffer d Trees Processing Massive Nearest Neighbor Queries on GPUs Fabian Gieseke FABIAN GIESEKE DIKU DK Department of Computer Science University of Copenhagen Universitetsparken Copenhagen Denmark

  • tatyana-admore
  • 9 Slides

It is well known that a di rect combination of th...

Efcient Parallel CKY Parsing on GPUs Youngmin Yi ChaoYue Lai Slav Petrov Kurt Keutzer University of Seoul Seoul Korea ymyiuos

Efcient Parallel CKY Parsing on GPUs Youngmin Yi ChaoYue Lai Slav Petrov Kurt Keutzer University of Seoul Seoul Korea ymyiuos

  • liane-varnes
  • 11 Slides

ackr University of California Berkeley Berkeley CA...

CS Operating Systems Multiprocessing CS Operating Systems Multiprocessing CS Overview Multiprocessing Designs OS Implications Programming Models Other Issues Overview Multiprocessing Design

CS Operating Systems Multiprocessing CS Operating Systems Multiprocessing CS Overview Multiprocessing Designs OS Implications Programming Models Other Issues Overview Multiprocessing Design

  • stefany-barnette
  • 16 Slides

g 03 Canonical example GPUs MIMD Multiple Instruct...

A Polyphase Filter for GPUs and MultiCore Processors Karel van der Veldt Universiteit van Amsterdam The Netherlands karel

A Polyphase Filter for GPUs and MultiCore Processors Karel van der Veldt Universiteit van Amsterdam The Netherlands karel

  • lois-ondreau
  • 8 Slides

vdveldtuvanl Rob van Nieuwpoort Vrije Universiteit...

PTask Operating System Abstractions To Manage GPUs as

PTask Operating System Abstractions To Manage GPUs as

  • liane-varnes
  • 16 Slides

Rossbach Microsoft Research crossbacmicrosoftcom ...

Why NVIDIA nForce MCPs?

Why NVIDIA nForce MCPs?

  • lois-ondreau
  • 3 Slides

Why NVIDIA GeForce Motherboard GPUs? NVIDIA

GPU Programming Model

GPU Programming Model

  • danika-pritchard
  • 63 Slides

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

A Micro-benchmark Suite for AMD GPUs

A Micro-benchmark Suite for AMD GPUs

  • kittie-lecroy
  • 26 Slides

Ryan Taylor. Xiaoming. Li. Motivation. To unders...

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 ...

On December 31, 2013

On December 31, 2013

  • debby-jeon
  • 10 Slides

I was blindfolded. I was taken from my home. I wa...

Operating Systems must support GPU abstractions

Operating Systems must support GPU abstractions

  • ellena-manuel
  • 17 Slides

Chris Rossbach, Microsoft Research. Jon Currey, M...

WarpLevel Divergence in GPUs: Characterization, Impact, and Mitigation

WarpLevel Divergence in GPUs: Characterization, Impact, and Mitigation

  • lindy-dunigan
  • 12 Slides

Dept. of Electrical and Computer Engineering Nort...

Efficient computation of sum-products on GPUs

Efficient computation of sum-products on GPUs

  • myesha-ticknor
  • 29 Slides

M. . Siberstein. , A. Schuster, D. Geiger, A. . P...

Interactive Screen-Space Accurate Photon Tracing on GPUs

Interactive Screen-Space Accurate Photon Tracing on GPUs

  • min-jolicoeur
  • 14 Slides

Our GPU Photon Tracing Pipeline. 5/153. Our GPU P...

Nathan Reed

Nathan Reed

  • kittie-lecroy
  • 50 Slides

, . VR Software Engineer. GameWorks VR. How is VR...

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 ...

GPU System Architecture

GPU System Architecture

  • alida-meadow
  • 34 Slides

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

Quantifying the Impact of GPUs on Performance and Energy Ef

Quantifying the Impact of GPUs on Performance and Energy Ef

  • yoshiko-marsland
  • 48 Slides

Craig Steffen csteffen@ncsa.uiuc.edu. NCSA In...

Jacobi Iterative technique on Multi GPU platform

Jacobi Iterative technique on Multi GPU platform

  • min-jolicoeur
  • 23 Slides

By . Ishtiaq. . Hossain. Venkata. Krishna . Nim...

Massively Parallel Ensemble Methods Using Work Queue

Massively Parallel Ensemble Methods Using Work Queue

  • tatiana-dople
  • 26 Slides

Badi’ Abdul-Wahid. Department of Computer Scien...

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 ...

OpenFOAM on a GPU-based Heterogeneous Cluster

OpenFOAM on a GPU-based Heterogeneous Cluster

  • tatyana-admore
  • 27 Slides

Rajat Phull, . Srihari. Cadambi, Nishkam Ravi an...

Efficient Management of LLCs in GPUs for 3D Scene Rendering

Efficient Management of LLCs in GPUs for 3D Scene Rendering

  • luanne-stotts
  • 48 Slides

Jayesh. Gaur (Intel). Raghuram. . Srinivasan. ...

Synthesizing Effective Data Compression Algorithms for GPUs

Synthesizing Effective Data Compression Algorithms for GPUs

  • pamella-moone
  • 30 Slides

Annie . Yang and Martin Burtscher*. Department o...

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. §. ,...

List Ranking on GPUs

List Ranking on GPUs

  • conchita-marotz
  • 23 Slides

Sathish. . Vadhiyar. List Ranking on GPUs. Linke...

Heterogeneous Architectures

Heterogeneous Architectures

  • min-jolicoeur
  • 1 Slides

Effects of Application Interference. Scheme. Summ...

GPU Threads and Scheduling

GPU Threads and Scheduling

  • yoshiko-marsland
  • 19 Slides

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

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...

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...

GPU Programming

GPU Programming

  • marina-yarberry
  • 22 Slides

using BU Shared Computing Cluster. Scientific Com...

Nathan Reed

Nathan Reed

  • tatiana-dople
  • 45 Slides

, . VR Software Engineer. GameWorks VR. How is VR...

Scalable SIMD-Efficient Graph Processing on GPUs

Scalable SIMD-Efficient Graph Processing on GPUs

  • liane-varnes
  • 28 Slides

Farzad Khorasani. , . Rajiv Gupta. , . Laxmi. N....

Scalable Learning

Scalable Learning

  • stefany-barnette
  • 29 Slides

in Computer Vision. Adam Coates. Honglak. Lee. R...

Matrix Profile II: Exploiting a Novel Algorithm and GPUs to

Matrix Profile II: Exploiting a Novel Algorithm and GPUs to

  • aaron
  • 16 Slides

Yan Zhu, Zachary Zimmerman, Nader . Shakibay....

GPU-powered

GPU-powered

  • trish-goza
  • 12 Slides

Supercomputing. The Next wave of HPC. Presented b...

Ocelot: supported devices

Ocelot: supported devices

  • lindy-dunigan
  • 31 Slides

Overview. Ocelot PTX . Emulator. Multicore-Backen...

A Visual Stepping Stone to AI

A Visual Stepping Stone to AI

  • karlyn-bohler
  • 29 Slides

Larry Zitnick. Facebook AI Research. 1984. Neocog...

Performance and Energy Efficiency of GPUs and FPGAs

Performance and Energy Efficiency of GPUs and FPGAs

  • tawny-fly
  • 33 Slides

Betkaoui, B.; Thomas, D.B.; Luk, W., "Comparing p...

Scalable SIMD-Efficient Graph Processing on GPUs

Scalable SIMD-Efficient Graph Processing on GPUs

  • jane-oiler
  • 0 Slides

Farzad Khorasani. , . Rajiv Gupta. , . Laxmi. N....

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