PPT-Matrix Profile II: Exploiting a Novel Algorithm and GPUs to

Yan Zhu Zachary Zimmerman Nader Shakibay Senobari ChinChia Michael Yeh Gareth Funning Abdullah Mueen Philip Brisk Eamonn Keogh httpwwwcsucredueamonnMatrixProfilehtml. Novelizing a story such as this brings it into a wh ole new world of imagery and depth that both curren t fans and nonfans of the original game will enjoy just like any other no vel full of action fantasy and adventure By sig ning this petition you 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. &. Miriam . Leeser. Dana Brooks. mel@coe.neu.edu brooks@ece.neu.edu. 1. This . work . is supported by: . NSF . CenSSIS. - The Center for Subsurface Sensing and Imaging. 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. Sathish. . Vadhiyar. List Ranking on GPUs. Linked list prefix computations – computations of prefix sum on the elements contained in a linked list. Irregular memory accesses – successor of each node of a linked list can be contained anywhere. and . Graph Algorithms. Uri Zwick. Tel Aviv University. February . 2015. Last updated: June 10, 2015. Algebraic matrix multiplication. Strassen. ’s algorithm. Rectangular matrix multiplication. Boolean matrix multiplication. using BU Shared Computing Cluster. Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. 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. 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 . Graph Algorithms. Uri Zwick. Tel Aviv University. November 2016. 1. Algebraic matrix multiplication. Strassen. ’s algorithm. Rectangular matrix multiplication. Boolean matrix multiplication. Simple reduction to integer matrix multiplication. panel discussions. HSF and its role in performance? . V: This is the question that we should keep in mind throughout the panel discussion . What is Computational Efficiency for you?. Holistic Performance Assessment? . Se-Joon Chung. Background and Key Challenges. The trend in computing hardware is parallel systems.. It is challenging for programmers is to develop applications that transparently scales its parallelism to leverage the increasing number of processor cores.. 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. Yan Zhu, Zachary Zimmerman, Nader . Shakibay. . Senobari. . Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen,. Philip Brisk, Eamonn Keogh . http://www.cs.ucr.edu/~eamonn/MatrixProfile.html.