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

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

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

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

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

• Concurrent computing
• Computing
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• Computer architecture
• GPGPU
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• Video cards
• General-purpose computing on graphics processing units
• Graphics processing unit
• CUDA
• Thread
• Nvidia Tesla

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

Source URL: htor.inf.ethz.ch

• GPGPU
• Computer architecture
• Computing
• Graphics hardware
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• Computer engineering
• Graphics processing unit
• Virtual reality
• Compute kernel
• General-purpose computing on graphics processing units
• CUDA Pinned memory

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

Source URL: www5.in.tum.de

• Computing
• 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

Exploiting heterogeneous parallelism with the Heterogeneous Programming Library

Source URL: www.des.udc.es

• Computing
• Computer architecture
• Concurrent computing
• Parallel computing
• GPGPU
• OpenCL
• Linux kernel
• Kernel
• Thread
• Compute kernel
• CUDA
• Loadable kernel module

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

Source URL: arxiv.org

• Computing
• Concurrent computing
• Parallel computing
• Computer programming
• GPGPU
• Application programming interfaces
• Graphics hardware
• Video cards
• OpenCL
• General-purpose computing on graphics processing units
• OpenACC
• CUDA

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

Source URL: www2.mmm.ucar.edu

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

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

• Concurrent computing
• Computing
• Parallel computing
• Computer architecture
• GPGPU
• Graphics hardware
• Video cards
• General-purpose computing on graphics processing units
• CUDA
• Graphics processing unit
• OpenMP
• Thread

    Presented  by     WCCI  2014  Tutorial  Abstract    

Source URL: www.conference123.org

• Concurrent computing
• Computing
• Parallel computing
• Computer architecture
• Graphics hardware
• GPGPU
• Video cards
• Graphics processing unit
• CUDA
• General-purpose computing on graphics processing units
• Deep learning

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

Source URL: icl.cs.utk.edu

• Computing
• Concurrent computing
• Parallel computing
• Computer architecture
• GPGPU
• Graphics hardware
• Video cards
• Digital signal processing
• Graphics processing unit
• Algorithm
• Multi-core processor
• CUDA