PPT-Concurrent Programming Lecture 5

Assignment 1 Having trouble Resolve it as early as possible Assignment 2 Handling textbased protocol HTTP Proxy Assignment 3 Concurrency Assignment 4 Distribute file system Last lecture. 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
 \n\r\r\r\r Programming Lecture 04 Programming Lecture 04 Function Function (Part I): (Part I): Function Function Types and Scopes of V 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. Wilfredo. Velazquez. Outline. Basics of Concurrency. Concepts and Terminology. Advantages and Disadvantages. Amdahl’s Law. Synchronization Techniques. Concurrent Data Structures. Parallel Correctness. George . Mason University. Today’s topics. Go over the syllabus. Go over resources. Marmoset. Blackboard. Piazza. Textbook. Highlight important information. Introduction to programming. This class is about programming, not a particular language. 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?. Peter J. Stuckey. Overview. Introduction to 433-637. Motivation for constraint programming. Combinatorial optimization . problems . in the real world. Capturing the problem. Introduction to 433-637. Course Website. . 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.