PPT-Synchronization-2
Author : celsa-spraggs | Published Date : 2016-05-12
Slides from Computer Systems A Programmers Perspective 2nd Edition by Randal E Bryant and David R OHallaron Prentice Hall 2011 Last Lecture Sharing Synchronization
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Synchronization-2: Transcript
Slides from Computer Systems A Programmers Perspective 2nd Edition by Randal E Bryant and David R OHallaron Prentice Hall 2011 Last Lecture Sharing Synchronization Critical Sections and Unsafe Regions. ReferenceBroadcast Synchronization RBS is a technique that allows a set of receivers in a broadcast network to accurately esti mate each others clock values RBS provides a relative timeframe for conversion between the local clocks of di erent nodes Spinlocks and all the rest. Synchronization Overview. Cache coherency. Single versus Multi-core. Under versus Oversubscribed. Atomic operations. …. Synchronization Overview. Spinlock. acquire_lock. : Adaptively . Combining Pessimistic and. Optimistic Synchronization for Efficient Parallel Runtime Support. Man Cao. Minjia. Zhang. Michael D. Bond. 1. Dynamic Analyses for Parallel Programs. Data Race Detector, . Hakim Weatherspoon. CS 3410, Spring 2013. Computer Science. Cornell University. P&H Chapter . 2.11 and 5.8. Big Picture: Parallelism and Synchronization. How do I take advantage of multiple processors; . 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. Synchronization. How to synchronize processes?. Need to protect access to shared data to avoid problems like race conditions. Typical example: Updating a shared account balance. Problem below?. Processor 1. Rui. . Gu. , . Guoliang. . Jin. , . Linhai. Song, . Linjie. Zhu, Shan Lu. University . of Wisconsin – Madison, USA. Proper Thread Synchronization . is . Hard. Very easy to get things wrong. H. ard-to-find concurrency bugs(Data race, Atomicity Violation, Dead Lock). . draft-dimitri-ospf-phased-db-sync-00.txt. Dimitri Papadimitriou. Alcatel-Lucent. IETF 79 – Beijing. November 7-12, 2010. Motivation. Opaque LSAs . OSPF extensibility: information contained in Opaque LSAs often used by application wishing to distribute information throughout OSPF domain (so called "non-IP routing information"). This adjustment computes the interest component of the revenue requirement. The interest expense (component) is computed by multiplying the rate base by weighted cost of debt. The calculated interest expense is then compared against the interest expense used by the Company in its computation of test year income tax expense. The tax effect of the difference in interest expense is the adjustment for interest synchronization. The effect of this adjustment is to ensure that the revenue requirement reflects the tax savings generated by the interest component of the revenue requirement. . . kota. . 21-sep-2015. AGENDA. Introduction. Synchronization. Physical Clocks. Global Positioning System. Algorithms. Future Work. References. Introduction: Real . Time System. 1. . A . 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.. Marc S. . Orr. †. §. , . Shuai . Che. §. , Ayse Yilmazer. §. ,. Bradford . M. . Beckmann. §. , Mark . D. . Hill. †. §. , . David A. . Wood. †. §. †. UW-Madison, . §. AMD . Research. ASPLOS, March 16, 2015. Farnaz. . Moradi. . Asrin. . Javaheri. Outline. Wireless sensor networks. Surveillance Applications. Clock synchronization. Synchronization algorithms. RBS. FTSP. Implementation. Performance Evaluation. Professor Hugh C. Lauer. CS-3013, Operating Systems. (Slides include . copyright materials . Modern . Operating Systems. , 3. rd. ed., by Andrew Tanenbaum and from . Operating System Concepts. , 7. th.
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