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. 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. . 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. without. explaining how to compute it!. In this half, we will describe algorithms to compute matrix profile, optimization techniques for scalability, portability to modern hardware, approximation to gain speed, and extension to special cases.. without. explaining how to compute it!. In this half, we will describe algorithms to compute matrix profile, optimization techniques for scalability, portability to modern hardware, approximation to gain speed, and extension to special cases.. Dileep Mardham. Introduction. Sparse Direct Solvers is a fundamental tool in scientific computing. Sparse factorization can be a challenge to accelerate using GPUs. GPUs(Graphics Processing Units) can be quite good for accelerating sparse direct solvers. 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). without. explaining how to compute it!. In this half, we will describe algorithms to compute matrix profile, optimization techniques for scalability, portability to modern hardware, approximation to gain speed, and extension to special cases.. 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. 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 Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, 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. A Unifying View of Motif Discovery, Anomaly Detection, Segmentation, Classification, Clustering and Similarity Joins . Eamonn Keogh. Abdullah Mueen. We will start at 8:25am to allow stragglers to find the room .