CUDA

Results: 950



#Item
21Computing / Computer architecture / Concurrent computing / Parallel computing / GPGPU / Graphics hardware / OpenCL compute devices / Application programming interfaces / MVAPICH / OpenACC / Graphics processing unit / CUDA

Op#mizing  and  Tuning  of  GPU  and  Xeon  Phi   Support  in  MVAPICH2   MVAPICH  User  Group  (MUG)  Mee#ng     by  

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Source URL: mug.mvapich.cse.ohio-state.edu

Language: English - Date: 2015-11-20 13:17:45
22Concurrent computing / Computing / Parallel computing / Computer architecture / GPGPU / Graphics hardware / Video cards / General-purpose computing on graphics processing units / Graphics processing unit / CUDA / Thread / Nvidia Tesla

Geosci. Model Dev., 8, 2815–2827, 2015 www.geosci-model-dev.netdoi:gmd © Author(sCC Attribution 3.0 License. POM.gpu-v1.0: a GPU-based Princeton Ocean Model

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Source URL: www.geosci-model-dev.net

Language: English - Date: 2016-01-25 18:47:39
23GPGPU / Computer architecture / Computing / Graphics hardware / Parallel computing / Computer engineering / Graphics processing unit / Virtual reality / Compute kernel / General-purpose computing on graphics processing units / CUDA Pinned memory

spcl.inf.ethz.ch @spcl_eth Polly-ACC: Transparent Compilation to Heterogeneous Hardware Tobias Grosser, Torsten Hoefler

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Source URL: htor.inf.ethz.ch

Language: English - Date: 2016-06-01 08:57:33
24Computing / Computer architecture / GPGPU / Concurrent computing / Parallel computing / Graphics hardware / Video cards / Nvidia / General-purpose computing on graphics processing units / Graphics processing unit / CUDA / Compute kernel

¨ MUNCHEN ¨ TECHNISCHE UNIVERSITAT Data access optimized applications on the GPU using NVIDIA CUDA

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Source URL: www5.in.tum.de

Language: English - Date: 2009-12-23 05:05:16
25Computing / Computer architecture / Concurrent computing / Parallel computing / GPGPU / OpenCL / Linux kernel / Kernel / Thread / Compute kernel / CUDA / Loadable kernel module

Exploiting heterogeneous parallelism with the Heterogeneous Programming Library

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Source URL: www.des.udc.es

Language: English - Date: 2014-12-23 06:10:55
26Computing / Concurrent computing / Parallel computing / Computer programming / GPGPU / Application programming interfaces / Graphics hardware / Video cards / OpenCL / General-purpose computing on graphics processing units / OpenACC / CUDA

arXiv:1605.06399v1 [cs.DC] 20 MayImageCL: An Image Processing Language for Performance Portability on Heterogeneous Systems∗ Thomas L. Falch and Anne C. Elster

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Source URL: arxiv.org

Language: English - Date: 2016-05-22 20:28:00
27

4.4 GPU developments for the WRF Model. Posey, Stan and Carl Ponder, NVIDIA This talk will examine progress of GPU developments for the WRF model using programming procedures of CUDA

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Source URL: www2.mmm.ucar.edu

- Date: 2016-06-16 12:19:59
    28Concurrent computing / Computing / Parallel computing / Computer architecture / GPGPU / Graphics hardware / Video cards / General-purpose computing on graphics processing units / CUDA / Graphics processing unit / OpenMP / Thread

    GPU Based Affine Linear Image Registration using Normalized Gradient Fields Florian Tramnitzke1 , Jan R¨ uhaak1,2 , Lars K¨onig1,2 , Jan Modersitzki1,2 , and Harald K¨ostler3 1

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    Source URL: www.mic.uni-luebeck.de

    Language: English - Date: 2014-11-27 06:59:01
    29Concurrent computing / Computing / Parallel computing / Computer architecture / Graphics hardware / GPGPU / Video cards / Graphics processing unit / CUDA / General-purpose computing on graphics processing units / Deep learning

        Presented  by     WCCI  2014  Tutorial  Abstract    

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    Source URL: www.conference123.org

    Language: English - Date: 2014-07-16 23:21:37
    30Computing / Concurrent computing / Parallel computing / Computer architecture / GPGPU / Graphics hardware / Video cards / Digital signal processing / Graphics processing unit / Algorithm / Multi-core processor / CUDA

    Performance Analysis and Acceleration of Explicit Integration for Large Kinetic Networks using Batched GPU Computations Azzam Haidar∗ , Benjamin Brock∗† , Stanimire Tomov∗ , Michael Guidry∗† , Jay Jay Billing

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    Source URL: icl.cs.utk.edu

    Language: English - Date: 2016-07-29 14:42:18
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