PPT-GPU Acceleration in ITK v4

Author : tawny-fly | Published Date : 2016-06-10

ITK v4 w inter meeting Feb 2 nd 2011 Won Ki Jeong Harvard University wkjeongseasharvardedu Overview Introduction Current status in GPU ITK v4 GPU managers

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GPU Acceleration in ITK v4: Transcript


ITK v4 w inter meeting Feb 2 nd 2011 Won Ki Jeong Harvard University wkjeongseasharvardedu Overview Introduction Current status in GPU ITK v4 GPU managers GPU image. Chris Rossbach, Microsoft Research. Jon Currey, Microsoft Research. Emmett . Witchel. , University of Texas at Austin. HotOS. 2011. Lots of GPUs. Must they be so hard to use?. We need dataflow…. GPU Haiku . Alan . Gray. EPCC . The University of Edinburgh. Outline. Why do we want/need accelerators such as GPUs?. Architectural reasons for accelerator performance advantages . Latest accelerator Products. NVIDIA and AMD GPUs. A CUDA Approach. Gary . Resnick. Scott . Badenhorst. Department of Computer Science. University of Cape Town. 17 March, 2010. Introduction. Approach. Plan. Outcomes. Overview. Radio Astronomy. By . Ishtiaq. . Hossain. Venkata. Krishna . Nimmagadda. Application of Jacobi Iteration. Cardiac Tissue is considered as a grid of cells.. Each GPU thread takes care of voltage calculation at one cell. This calculation requires Voltage values of neighboring cells. ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . Rajat Phull, . Srihari. Cadambi, Nishkam Ravi and Srimat Chakradhar. NEC Laboratories America. Princeton, New Jersey, USA.. www.nec-labs.com. OpenFOAM Overview. OpenFOAM stands for:. ‘. O. pen . F. 21. Active Shape Models. Methods in Medical Image Analysis - . Spring . 2015. . BioE. . 2630 (Pitt) : 16-725 (CMU RI). 18-791 (CMU ECE) : 42-735 (CMU BME). Dr. John . Galeotti. 1. Active . Shape Models (ASM. Patrick Cozzi. University of Pennsylvania. CIS 565 - Fall 2014. Acknowledgements. CPU slides – Varun Sampath, NVIDIA. GPU . slides. Kayvon . Fatahalian. , CMU. Mike Houston, . NVIDIA. CPU and GPU Trends. Andy Luedke. Halo Development Team. Microsoft Game Studios. Why do Histogram Analysis?. Dynamically adjust post-processing settings based on rendered scene content. Drive tone adjustments by discovering intensity levels and adjusting . Evangelia Sitaridi, . Thesis Defense. Columbia University . GPUs for Social Media Analytics. 2. Search terms: . Match . regexp. : “/\B#\w*[a-. zA. -Z] \w*/ . . debate. Filter location. More GPU Data Analytics Use-Cases. 1. Goals for this lecture. Compile, compile, compile. Learn how to use SVN & CMake. Build ITK. Compile several programs that use ITK. Find documentation online. Learn the quirks (if any) of the system you choose to use. Add GPUs: Accelerate Science Applications. © NVIDIA 2013. Small Changes, Big Speed-up. Application Code. . GPU. C. PU. Use GPU to Parallelize. Compute-Intensive Functions. Rest of Sequential. CPU Code. Acceleration is a measure of . the change in velocity per unit of time. When the velocity of an object is changing, it is . accelerating. Negative acceleration: . slowing down. Positive acceleration: . What is acceleration?. If you’re traveling in a car at a constant speed of 50 mph, are you accelerating?. No, you’re not. . Acceleration is the rate of change of velocity. . Acceleration. In order for acceleration to occur, velocity MUST be .

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