PPT-Improving Remote Access of a Data-Intensive Computing Application: Effects of Encoding

Jerry Adams 1 Bradley Hittle 2 Eliot Prokop 3 Ronny Antequera 3 DrPrasad Calyam 3 University of HawaiiWest Oahu 1 The Ohio State University 2 University of MissouriColumbia. Dr A . Sahu. Dept of Comp Sc & . Engg. . . IIT . Guwahati. 1. Outline. Graphics System . GPU Architecture. Memory Model. Vertex Buffer, Texture buffer. GPU Programming Model. DirectX. , OpenGL, . Pat Nicholson* and Rajeev Raman**. *. MPII. ** . University of Leicester. Input Data. (Relatively Big). déjà vu: The Encoding Approach. déjà vu: The Encoding Approach. Input Data. (Relatively Big). Condor Week 2012. Bob Nordlund. Grid Computing @The Hartford…. Using Condor in our production environment since 2004. Computing Environment. Two pools (Hartford, CT and Boulder, CO). Linux central managers and schedulers. Gradients. Slice selection. Frequency encoding. Phase encoding. Sampling . Data collection. Introduction. Encoding means the location of the MR signal and positioning it on the correct place in the image. Lecture 2: more basics. Recap. Can use GPU to solve highly parallelizable problems. Straightforward extension to C++. Separate CUDA code into .cu and .. cuh. files and compile with . nvcc. to create object files (.o files). Adams, . University . of . Hawaii. Thin-client based remote volume . visualization over . wide-area networks . Dr. Prasad . Calyam,. Ronny . Antequera,. Eliot . Prokop,. University of Missouri. Presentation Outline. Hugo . Valentim. m6104. Nuno. Pereira m6691. Rafael . Couto. m6027. Outline. : Virtualization Technologies. Introduction. Making a Business . Case for Virtualization. Virtualization . Technologies. Lecture 2: more basics. Recap. Can use GPU to solve highly parallelizable problems. Straightforward extension to C++. Separate CUDA code into .cu and .. cuh. files and compile with . nvcc. to create object files (.o files). Vera Asodi. VMware. What is Virtualization?. Virtualization is a technology that allows you to transform hardware into software. Virtualization allows you to run multiple operating systems simultaneously on a single computer. Department of Geography and Planning. University at Albany. What is a GPU?. A GPU is a . graphics processing unit. Modern GPUs are composed of multiple processors. Each of these processors can perform operations similar to those of CPUs. CS 179: GPU Programming Lecture 7 Week 3 Goals: Advanced GPU- accelerable algorithms CUDA libraries and tools This Lecture GPU- accelerable algorithms: Reduction Prefix sum Stream compaction Sorting (quicksort) A Tale of Two Cities: GPU Computing and Machine Learning Dr. Xiaowen Chu Department of Computer Science, Hong Kong Baptist University Outline 2 Some Stories of “Two Cities” Evolution of CPUs/ Waters. Introduction to GPU Computing. Brief History of GPU Computing. Technical Issues. Social Impact. Marketing and Ethical . Issues. Project Management. Conclusion. Table of Contents. A . GPU is . Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. GeForce 256 (1999) – first GPU.