PPT-Concurrency Analysis for

Correct Concurrent Programs Fight Complexity Systematically and Efficiently Moonzoo Kim Computer Science KAIST Motivation for Concurrency Analysis Most of my subjects interviewee . 1. Emmett . Witchel. The University of Texas At Austin. Q: When is everything happening?. A: Now. A: Concurrently. 2. Concurrency is central to CS. CS is at forefront of understanding concurrency. We operate near light speed. What is it?. What is concurrency?. Concurrency is not a new idea…. Concurrency was first developed by the ancient Babylonians.. They thought about stuff, walked, and chewed gum … all at the same time..  Rick Molloy. . Program Manager. Microsoft Corporation. TL25. Motivation and Hard Problems. Comprehensive Solutions. Native Concurrency Platform in Visual Studio 2010. Concurrency Runtime. Parallel Pattern Library. Slides. are . mainly. . taken. from «O. perating. Systems: Internals and Design Principles”, . 8/E . William Stallings (Chapter . 5). . Sistemi di Calcolo (II semestre) – Roberto Baldoni. Multiple Processes. Prof. O. Nierstrasz. Selected material © Magee and Kramer. © Oscar Nierstrasz. 2. Roadmap. Modelling Concurrency. Finite State Processes . Labelled Transition Systems. Java Threads. Thread creation. on Program . Analysis. Weizmann Institute . of Science. Guy Katz. and David . Harel. Overview. Program analysis: verification, repair, synthesis, . etc. Very desirable, but very difficult. State explosion. Architectures, Algorithms and Systems. Chapter Outline. The architecture/system trade-off space. Concurrency improves energy-efficiency. Exploring alternative topologies. Removing inefficiency. The cost of flexibility . Ganesh. Why CPS is important. Tomorrow’s massively complex digital systems won’t “just work”. Their correctness is a multi-faceted issue. Concurrency problems are largely responsible for the sheer complexity (. Concurrency Topics. 1. Sequential programming notation. 2. Expressing concurrency with . co. and . process. . 3. States and hardware. 4. Atomic actions. 5. Inter-leavings and histories. 6. The finite progress assumption. Lecture 1. Introduction to Multithreading & Fork-Join Parallelism. Steve . Wolfman. , based on work by Dan . Grossman. LICENSE. : This file is licensed under a . Creative . Commons Attribution 3.0 . Motivation, Challenges, Impact on Software Development. CSE 110 – Winter 2016. About These Slides. Due to the nature of this material, this lecture was delivered via the chalkboard. Every was advised that slides would not be available and that notes should be taken. . Database Concurrency Control. 1 Purpose of Concurrency Control. To enforce Isolation (through mutual exclusion) among conflicting transactions. . To preserve database consistency through consistency preserving execution of transactions.. Sadhna Kumari. OUTLINE. ACID Properties. 2-Phase Commit Protocol. TPS. Serializability. Concurrency Control Protocols. Current Research. Future. References. ACID PROPERTIES. Atomicity: . A . transaction is . -. Bhavya. . Kilari. Dr. . Yanqing. Zhang, . CSc. 8320. PREVIEW. P. ART. I. : . I. NTRODUCTION. Transaction Processing System [. R. Chow & T. Johnson, 1997.