PPT-Concurrent Programming

15213 18213 Introduction to Computer Systems 22 n d Lecture Nov 11 2014 Instructors Greg Ganger Greg Kesden and Dave OHallaron Client Server Session Reminder Iterative echo server. Not surprisi ngly peo ple started to think about ways to merge synchronization int o a more structured programming environment One such approach that emerged was the monitor First described by Per Brinch Hansen BH73 and later re64257ned by Tony Hoa In building concurrent FIFO queues this reasoning has led re searchers to propose combiningbased concurrent queues This paper takes a different approach showing how to rely on fetchandadd FA a less powerful primitive that is available on x86 process This general phenomenon known as concurrency shows up at many different levels of a computer system Hard ware exception handlers processes and Unix signal handlers ar e all familiar examples Thus far we have treated concurrency mainly as a mechanis Bertrand Meyer. Kirkland, WG 2.3, July 2012. You mean. h. e is actually getting. for. this?. ERC money. What this is about. SCOOP: a model for bringing concurrent programming under control. Not new (goes back to 90s). Pavol. . Cerny. . Vasu. Singh . Thomas . Wies. Part III. – Message Passing Concurrency. The Downsides . of Classical Shared Memory Concurrency. shared memory typically implies . physically. Wilfredo. Velazquez. Outline. Basics of Concurrency. Concepts and Terminology. Advantages and Disadvantages. Amdahl’s Law. Synchronization Techniques. Concurrent Data Structures. Parallel Correctness. Concurrent Objects. -. Second Life, Twitter Systems, and . Molecular Dynamics Computing-. Akinori. . Yonezawa. Christmas Lecture. University of Tokyo, December 22, 2009. What is this talk all about?. Presented by: Orit Mussel December 2016. "Art of Multiprocessor Programming" by . Herlihy. & . Shavit. 1. Advanced Topics in Concurrent Programming. Instructor: . Erez. . Petrank. Outline:. Companion slides for. The Art of Multiprocessor Programming. by Maurice Herlihy & Nir Shavit. Art of Multiprocessor Programming. 2. 2. The Five-Fold Path. Coarse-grained locking. Fine-grained locking. . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 3 . Mutual Exclusion using atomic registers: Advanced Topics. Version: . June 2014. Chapter 3. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 2 . Mutual Exclusion using atomic registers: Basic Topics. Version: . June 2014. Chapter 2. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 2 . Mutual Exclusion using atomic registers: Basic Topics. Version: . June 2014. Chapter 2. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 7 . Multiple resources. The dinning philosophers problem . Version: . June 2014. Chapter 7. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. Fall 2015. Lars Ailo Bongo (larsab@cs.uit.no). Course topics. Parallel programming. The parallelization process. Optimization of parallel programs. Performance analysis. Data-intensive computing. Parallel programs.