PPT-Matrix Profile II: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million

Author : luanne-stotts | Published Date : 2019-11-08

Matrix Profile II Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier for Time Series Motifs and Joins Yan Zhu Zachary Zimmerman Nader

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Matrix Profile II: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million: Transcript

Matrix Profile II Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier for Time Series Motifs and Joins Yan Zhu Zachary Zimmerman Nader Shakibay Senobari ChinChia Michael Yeh Gareth Funning Abdullah Mueen. 2847 One Hundred Eleventh Congress of the United States of America AT THE SECOND SESSION Begun and held at the City of Washington on Tuesday the fifth day of January two thousand and ten An Act To Safety Break Safety Break Safety Break Safety Break Safety Break Safety Break Lap Swim (2) Open Swim (2) Lap Swim (2) 10:00am-4:25pm Open Swim (2) 12:10pm-2:30pm Safety Break Safety Break Safety Bre LPAR 2008 . –. Doha, Qatar. Nikolaj . Bjørner. , . Leonardo de Moura. Microsoft Research. Bruno . Dutertre. SRI International. Satisfiability Modulo Theories (SMT). Accelerating lemma learning using joins. Annie . Yang and Martin Burtscher*. Department of Computer Science. Highlights. MPC compression algorithm. Brand-new . lossless . compression algorithm for single- and double-precision floating-point data. . Eamonn Keogh . With. Yan Zhu, Chin-. Chia. Michael . Yeh. , Abdullah Mueen. . with contributions from Zachary Zimmerman, Nader . Shakibay. . Senobari. ,, Gareth Funning, Philip Brisk, Liudmila Ulanova, Nurjahan Begum, . 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. 1. Sim. Joins on Product Descriptions. Surface s. imilarity . can be . high. for descriptions of . distinct. items:. AERO TGX-Series Work Table -42'' x 96'' Model 1TGX-4296 All tables shipped KD AEROSPEC- 1TGX Tables are . . Eamonn Keogh . With. Yan Zhu, Chin-. Chia. Michael . Yeh. , Abdullah Mueen. . with contributions from Zachary Zimmerman, Nader . Shakibay. . Senobari. ,, Gareth Funning, Philip Brisk, Liudmila Ulanova, Nurjahan Begum, . Powers. . with Applications . to Preconditioning. Erin C. Carson. Nicholas Knight, James . Demmel. , Ming . Gu. U.C. Berkeley. Motivation: The Cost of an Algorithm. Algorithms have 2 costs: Arithmetic (flops). Graph Algorithms. Uri Zwick. Tel Aviv University. Algebraic matrix multiplication. Strassen. ’s algorithm. Rectangular matrix multiplication. Boolean matrix multiplication. Simple reduction to integer matrix multiplication. 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. 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.. 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. . Chin-Chia Michael Yeh, Helga Van Herle, Eamonn Keogh . http://www.cs.ucr.edu/~eamonn/MatrixProfile.html. Outline. Motivation. Proposed method. Experiment result. Conclusion. 2. Outline. Motivation.

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