PPT-Efficient computation of sum-products on GPUs

Author : myesha-ticknor | Published Date : 2016-02-25

M Siberstein A Schuster D Geiger A Patley J Owens Introduction MPF characterized by Complex data dependent High data reuse Low computetomemory access ration

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Efficient computation of sum-products on GPUs: Transcript

M Siberstein A Schuster D Geiger A Patley J Owens Introduction MPF characterized by Complex data dependent High data reuse Low computetomemory access ration Technique to solve MPF . I was blindfolded. I was taken from my home. I was led to a dark room. Meet Olaf. A snowman who looks forward to summer. Specious reasoning, friend Olaf. . The hot and the cold are both so intense. 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. 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. Jayesh. Gaur (Intel). Raghuram. . Srinivasan. (Ohio State). Sreenivas. . Subramoney. (Intel). Mainak. . Chaudhuri. (IIT, Kanpur). Sketch. Talk in one slide. Result highlights. Understanding the potential. Graph . Processing . . with Distributed Immutable View. Rong Chen. +. , . Xin. Ding. +. , . Peng. Wang. +. , Haibo Chen. +. , . Binyu . Zang. +. and Haibing Guan. *. Institute of Parallel and Distributed Systems. Lenin Ravindranath. Pradeep Kumar . G. unda, Chandu Thekkath, Yuan Yu, Li Zhuang. Motivation. Resources are poorly managed in a data center. Computation. Storage. Redundant . computations. Wasting resources. Supercomputing. The Next wave of HPC. Presented by Shel Waggener. HP Materials from Marc Hamilton. June. , . 2011. © Copyright 2011 Hewlett-Packard Development Company, L.P. . GPUs – changing the Economics of Supercomputing. Adrian Farrel. Old Dog Consulting. adrian@olddog.co.uk. History of PCE. We know where PCE comes from. Simple CSPF computation of paths for MPLS-TE. But RFC 4655 was not quite so limited in its definition. Advancements in Scientific Computing. Qi. . Hu. , Nail A. . Gumerov. , . Ramani. . Duraiswami. Institute for Advanced Computer Studies and Department of Computer Science. Monica . Syal. , . J. . Gordon . 1. AFOSR-BRI Workshop. July 23 2014. Amit . Amritkar & Danesh Tafti. Collaborators. Wu-chun . Feng. , . Paul Sathre. , Kaixi . Hou, . Sriram . Chivukula. , . Hao. . Wang, Tom . Scogland. ,. Eric . Tore Frederiksen. , . Thomas . Jakobsen. , . Jesper. Nielsen, Peter . Nordholt. , Claudio . Orlandi. 27-08-2016. The LEGO Approach for. Maliciously Secure Two-Party Computation. 1. What we will present. . with Distributed Immutable View. Rong Chen. +. , . Xin. Ding. +. , . Peng. Wang. +. , Haibo Chen. +. , . Binyu . Zang. +. and Haibing Guan. *. Institute of Parallel and Distributed Systems. +. MRNet. and GPUs. Evan . Samanas. and Ben . Welton. Density-based clustering. Discovers the number of clusters. Finds oddly-shaped clusters. 2. Mr. Scan: Efficient Clustering with . MRNet. and GPUs. Jayesh. Gaur (Intel). Raghuram. . Srinivasan. (Ohio State). Sreenivas. . Subramoney. (Intel). Mainak. . Chaudhuri. (IIT, Kanpur). Sketch. Talk in one slide. Result highlights. Understanding the potential.

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