PPT-Concurrency,

Thread and Event CS6410 Sept 6 2011 Ji Yong Shin What is a Thread Same as multiple processes sharing an address space A traditional process is an address space and a thread of control. This motivated an ongoing shared effort by the standards committees to specify concurrent behaviour in the next versions of both languages They aim to provide strong guarantees for racefree programs together with new but subtle relaxedmemory atomic Slide . 1. Too Much Milk. . Roommate . A. 3:00. Arrive home: no milk. 3:05. Leave for store. 3:10. Arrive at store. 3:15. Leave store. 3:20. Arrive home, put milk away. CS 140 Lecture Notes: Concurrency. Sadhna Kumari. OUTLINE. ACID Properties. 2-Phase Commit Protocol. TPS. Serializability. Concurrency Control Protocols. Current Research. Future. References. ACID PROPERTIES. Atomicity: . A . transaction is . 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. Motivation, Problems, Directions. Dennis Kafura - CS 5204 - Operating Systems. 1. Dennis Kafura - CS 5204 - Operating Systems. 2. Reasons for Concurrency. multitasking. parallelism. performance. coordination. 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. Prof. O. Nierstrasz. Selected material © Magee and Kramer. © Oscar Nierstrasz. 2. Roadmap. Modelling Concurrency. Finite State Processes . Labelled Transition Systems. Java Threads. Thread creation. 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. Paolo . Baldan. . and. Silvia . Crafa. Universita. ’ . di. . Padova. Models of Concurrency. a | b = . a.b. + . b.a. a. a. b. b. Different . causal. properties. Different . distribution. properties. 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. .