PPT-CS 179 Lecture 6 Synchronization, Matrix Transpose,

Profiling AWS Cluster Synchronization Ideal case for parallelism no resources shared between threads no communication between threads Many algorithms that require just a little bit of resource sharing can still be accelerated by massive parallelism of GPU. Section 1.6. Algebraic Properties of Matrix Operations. Zero Matrix. The zero matrix is a matrix in which every entry is zero. This is sometimes denoted . or . . For every possible combination of . m. Lab 2: Cache Lab. Overview. Objectives. Cache Set-Up. Command line parsing. Least Recently Used (LRU). Matrix Transposition. Cache-Friendly Code. Objective. There are two parts to this lab:. Part A: Cache Simulator. Macroprogramming. Systems. Presented by: S. M. . Shahriar. . Nirjon. Timothy W.. . Hnat. and . Kamin. Whitehouse. hnat@cs.virginia.edu, WHITEHOUSE@cs.virginia.edu . Motivation. Synchronization Problems. Energy Consumption of Luxury Hotels in Hainan Province, China. Source: Y. Xin, S. Lu, N. Zhu, W. Wu (2012). "Energy Consumption Quota of Four and Five Star Luxury Hotels Buildings in Hainan Province, China," Energy and Buildings, Vol. 45, pp. 250-256.. Susmitha. . kota. . 21-sep-2015. AGENDA. Introduction. Synchronization. Physical Clocks. Global Positioning System. Algorithms. Future Work. References. Introduction: Real . Time System. Masahiro Sasabe. and Tetsuya Takine. Osaka University, Japan. 1. DTNRG at IETF 76. Outline. Research background. Time synchronization. Time sync. for mobile ad hoc networks. Relative time synchronization. GPU Computing. Recitation 2. : Synchronization. , . Shared memory, Matrix Transpose. Synchronization. Ideal case for parallelism: . no resources shared between threads. no communication between threads. Kaushik. . Majumdar. Indian Statistical Institute. 8th Mile, Mysore Road. Bangalore 560059. https://sites.google.com/site/isicng/. Workshop on “Cognition, Emotion and Computing,” Infosys Limited, Bangalore, 30 April 2013. fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. Motivation. Clock . Sources & Hardware. Single-Hop Clock Synchronization. Clock Synchronization in Networks. in Wireless Sensor Networks. Philipp Sommer. Roger Wattenhofer. Time Synchronization is a well-studied Problem. Time, Clocks, and the Ordering of Events in a Distributed System. L. Lamport, Communications of the ACM, 1978.. Farnaz. . Moradi. . Asrin. . Javaheri. Outline. Wireless sensor networks. Surveillance Applications. Clock synchronization. Synchronization algorithms. RBS. FTSP. Implementation. Performance Evaluation. Dr. Yanqing Zhang. Agenda. Overview. Synchronization Techniques. WebDAV(Web Distributed Authoring and Versioning). Future Work. References. What is Synchronization?. In general it is . process of precisely coordinating or matching two or more activities, devices, or processes in time.. DEFINITION OF MATRIX. Matrices Definition. Matrices.  are the ordered rectangular array of numbers, which are used to express linear equations. A matrix has rows and columns. we can also perform the mathematical operations on matrices such as addition, subtraction, multiplication of matrix. Suppose the number of rows is m and columns is n, then the matrix is represented as m × n matrix.. Kaw. Humberto . Isaza. http://nm.MathForCollege.com. Transforming Numerical Methods Education for STEM Undergraduates. Unary Matrix Operations. http://nm.MathForCollege.com. Objectives. After reading this chapter, you should be able to.