PPT-What Change History Tells Us about Thread Synchronization

Author : alexa-scheidler | Published Date : 2016-07-26

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

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What Change History Tells Us about Thread Synchronization: Transcript


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 ardtofind concurrency bugsData race Atomicity Violation Dead 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; . 15-213: Introduction to Computer Systems. 24. th. Lecture, Nov. 18, 2010. Instructors:. . Randy Bryant and Dave O’Hallaron. Today. Producer-consumer problem. Readers-writers problem. Thread safety. Exercise . 1 . Let S be a . semaphore . that is initialized to 2. Consider the following:. d. own(S). d. own(S). u. p(S). d. own(S). Does this program block?. 2. Exercise 1: Answer. No. The first . down. CSCI 201L. Jeffrey Miller, Ph.D.. http://www-scf.usc.edu/~csci201. USC CSCI 201L. Outline. USC CSCI 201L. 2. /9. Synchronization. Critical Section. Motivation for Synchronization. Thread synchronization is used to coordinate the execution of dependent threads. 15-213 / 18-213: Introduction to Computer Systems. 25. th. Lecture, Nov. . 21, 2013. Instructors:. . Randy Bryant, Dave . O’Hallaron, . and . Greg . Kesden. Review: . Semaphores. Semaphore. :. . Slides from:. . Computer . Systems: A Programmer's Perspective, 2nd Edition. by Randal E. Bryant and David R. . O'Hallaron. , Prentice Hall, 2011. . Last Lecture . Sharing. Synchronization. Critical Sections and Unsafe Regions. : 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; . 15-213: Introduction to Computer Systems. 23. rd. Lecture, Nov. 16, 2010. Instructors:. . Randy Bryant and Dave O’Hallaron. Today. Threads review. Sharing. Mutual exclusion. Semaphores. Process: Traditional View. 15-213 / 18-213: Introduction to Computer Systems. 25. th. Lecture, Nov. . 27, 2012. Instructors:. . Dave O’Hallaron, Greg Ganger, and Greg . Kesden. Today. Races. Locking and Deadlocks. Producer-consumer problem. Hakim Weatherspoon. CS 3410, Spring 2015. Computer Science. Cornell University. P&H Chapter 2.11, 5.10,. and 6.5. Announcements. HW2 Review Sessions!. TODAY, Tue, . April 21st. , . Hollister B14@7pm. 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. 15-213 / 18-213: Introduction to Computer Systems. 24. th. Lecture, Nov. 18, 2014. Instructors:. . Greg Ganger, Greg . Kesden. , and Dave . O’Hallaron. Today. Races. Locking and Deadlocks. Producer-consumer problem.

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