PPT-Concurrent Data Structures in Architectures with

Author : lois-ondreau | Published Date : 2016-03-06

Limited Shared Memory Support Ivan Walulya Yiannis Nikolakopoulos Marina Papatriantafilou Philippas Tsigas Distributed Computing and Systems Chalmers University

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Concurrent Data Structures in Architectures with: Transcript


Limited Shared Memory Support Ivan Walulya Yiannis Nikolakopoulos Marina Papatriantafilou Philippas Tsigas Distributed Computing and Systems Chalmers University of Technology Gothenburg Sweden. 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 Maurice . Herlihy. Computer Science . Dept. Brown University. 2. Not important:. The details.. Important. Irrevocable change. 3. How to think about Synchronization. Poor synchronization . ruins everything. Wilfredo. Velazquez. Outline. Basics of Concurrency. Concepts and Terminology. Advantages and Disadvantages. Amdahl’s Law. Synchronization Techniques. Concurrent Data Structures. Parallel Correctness. Software Architecture. Describe how the various software components are to be organized and how they should interact.. It describe the organization and interaction of software components.. System Architecture. Fall . 2015. See online syllabus (also available through . BlueLine. ). : . . http://dave-reed.com/csc321. Course goals:. To understand fundamental data structures (lists, stacks, queues, sets, maps, and linked structures) and be able to implement software solutions to problems using these data structures. . Bin . Ren. Advisor: Dr. . Gagan. . Agrawal. 4/6/2014. 1. Streaming SIMD Extension. Motivation. 4/6/2014. 2. Various emerging parallel architectures. Intel . . SSE. 1999. Intel . . SSE3. 2004. 2. Chapter 9 Objectives. Learn the properties that often distinguish RISC from CISC architectures.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. Definition. What is a plug-in?. “a small piece of software that supplements a larger program”. Merriam-Webster’s Online Dictionary. “An accessory software or hardware package that is used in conjunction with an existing application or device to extend its capabilities or provide additional functions”. 2. Chapter 9 Objectives. Learn the properties that often distinguish RISC from CISC architectures.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. – Discussion. Dr Robert Woodcock – WGISS 43. CSIRO. What do WE need to know?. Examples of topics from OGC ORM:. Enterprise view. Why and the value proposition. Geospatial Information. Information specifications. Graph Data Structures " Unless in communicating with it [a computer] one says exactly what one means, trouble is bound to result. " - Alan Turing CLRS, Section 22.1 Early Graph Theory Problem Leonhard Euler (1707 - 1783) Graph Data Structures " Unless in communicating with it [a computer] one says exactly what one means, trouble is bound to result. " - Alan Turing Early Graph Theory Problem Leonhard Euler (1707 - 1783) www.asyrani.com. /data. Please forget that you get low/high. marks for C Programming class. 1. 2. 3. Set up in your mind right now, this subject is the most interesting!!!. Things you must have:. Visual C++ 2010 Edition. Ravil Galiev, ITMO University. Michael Spear, Lehigh University. Vitaly Aksenov, City University of London. Long story short. We had a project on self-adjusting concurrent data structures. We needed to have skewed workloads to show the performance...

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