'Gpu' presentation slideshows

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Invited Talk 12:

ICIEV 2014 Dhaka University, Bangladesh. Invited Talk 12: “Discovering Energy-Efficient High-Performance Computing Systems? WSU CAPPLab may help!”. Presented by: Dr. Abu Asaduzzaman Assistant Professor in Computer Architecture and Director of CAPPLab

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NVIDIA Graphics and Cg

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POC: Dr. Daniel B. Weber 559 th SMXS/MXDEF Phone: 405-736-4058

OKLAHOMA CITY AIR LOGISTICS COMPLEX. TEAM TINKER. Using a GPU to Compute the Advection and Computational Mixing Terms of a Numerical Weather Prediction Model Date: 3 October 2012. POC: Dr. Daniel B. Weber 559 th SMXS/MXDEF Phone: 405-736-4058 Email: daniel.weber@tinker.af.mil.

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GP GPU Applications and Simulations

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Interpreting a genetic programming population on an nVidia Tesla

Interpreting a genetic programming population on an nVidia Tesla. W. B. Langdon CREST lab, Department of Computer Science. Introduction. General Purpose use of GPU (GPGPU) and why we care

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Programming with CUDA and Parallel Algorithms

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LAPACK on the NVIDIA G80 Processor

LAPACK on the NVIDIA G80 Processor. Robert Liao Tracy Wang CS252 Spring 2007. Overview. Traditional GPU Architecture The NVIDIA G80 Processor CUDA (Compute Unified Device Architecture) LAPACK Performance and Issues. A Quick Note on Naming.

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A GPU Accelerated Storage System

A GPU Accelerated Storage System. Abdullah Gharaibeh with: Samer Al-Kiswany Sathish Gopalakrishnan Matei Ripeanu. NetSysLab The University of British Columbia. GPUs radically change the cost landscape. $600. $1279. (Source: CUDA Guide). Harnessing GPU Power is Challenging.

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Simulating Collective Effects on GPUs

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NVIDIA Parallel Nsight NVIDIA DevTech | Anton Obukhov

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GPGPU: CUDA vs OpenGL

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Computational Biology 2008 Advisor: Dr. Alon Korngreen

Computational Biology 2008 Advisor: Dr. Alon Korngreen Eitan Hasid Assaf Ben-Zaken. Parallel Computations on Neural Cells Models. Concepts. Biological Background Computational Background Goals Methods GPU Abilities GPU Programming Conclusions The Future. Neurons.

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IceCube simulation with PPC

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Porting Atmospheric Forecasting Model to HPC Platforms

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Accelerated Computing in Cloud

Accelerated Computing in Cloud. Viet Tran ( IISAS) Jan Astalos (IISAS) Miroslav Dobrucky (IISAS ). IISAS- GPUCloud site. Openstack GPGPU site at IISAS Hardware: IBM dx360 M4 servers with 2x Intel Xeon E5-2650v2 16 CPU cores, 64GB RAM, 1 TB storage on each WN

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Ray Tracing Parametric Patches

Graphics at CVIT. View-dependent display made of polygonal/parametric elements. Object Centric Video Navigation & Manipulation. Ray Tracing Parametric Patches. Cluster based large display solution using commodity PCs. Divide & Conquer Ray Tracing. Generalized Newtonian Fluid Simulation.

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