PPT-Algebra of Concurrent Programming

Tony Hoare Redmond August 2011 With ideas from Ian Wehrman John Wickerson Stephan van Staden Peter OHearn Bernhard Moeller Georg Struth Rasmus Petersen and others Subject matter designs. 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 15-213 / 18-213: Introduction to Computer Systems. 22. n. d. Lecture, Nov. 11, 2014. Instructors:. . Greg Ganger, . Greg . Kesden. , . and . Dave . O’Hallaron. Client / Server. Session. Reminder: Iterative echo server. 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. Tony Hoare. Feb 2012. With Ideas from. Ian Wehrman. John Wickerson. Stephan van . Staden. Peter O’Hearn. Bernhard Moeller. Georg Struth. Rasmus Petersen. …and others. and Calculi from. Robin Milner. 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?. 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.