NOTE: COMPSCI 711 THE UNIVERSITY OF AUCKLAND SEMESTER TWO 2019 Campus: City COMPUTER SCIENCE Parallel and Distributed Computing (Time Allowed: TWO hours) Attempt Question 1 to Question 3. Attempt THREE questions out of Question 4 to Question 7. Page 1 of 4 Question 1 The diagram below shows the progress of two processes, P and […]
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Lecture20 & 21_AllPairsSP Wednesday, October 21, 2020 10:47 AM Review: Linear programing: generic way to formulate a large class of optimalization problems. Fisibility version of the problem: drop the optimalizaiton functuion, look at only the constrains, which are bunch of linear inequalities. Special version of the problem: system of diffiriences. Matrix formulation, every row have
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NOTE: COMPSCI 711 THE UNIVERSITY OF AUCKLAND SEMESTER TWO 2018 Campus: City COMPUTER SCIENCE Parallel and Distributed Computing (Time Allowed: TWO hours) Attempt ALL questions. Page 1 of 4 Question 1 (a) Total order and causal order are two properties that multicast messages can satisfy. I. Explain the meaning of these two properties. II. Use
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Byz Problem Informal EIG Example Attributes Quiz TMR The Byzantine Agreement – An Introduction Radu Nicolescu Department of Computer Science University of Auckland 2 Sep 2020 1/30 Byz Problem Informal EIG Example Attributes Quiz TMR 1 The Byzantine agreement problem 2 Informal example 3 EIG tree 4 Example 5 Attributes 6 Quiz 7 Triple modular
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Organisation Topics Graphs Basics Echo Echo+ Size Further Project Readings Introduction Radu Nicolescu Department of Computer Science University of Auckland 29 July 2020 1/46 Organisation Topics Graphs Basics Echo Echo+ Size Further Project Readings 1 Organisation 2 Distributed algorithms 3 Graphs and spanning trees revisited 4 Basics 5 Echo algorithm 6 Echo algorithm revisited 7
COMPSCI 711 Byzantine Theory radu/2020 BYZANTINE AGREEMENT – A FEW THEORETICAL RESULTS. 1.21 COMPSCI 711 Byzantine Theory radu/2020 NUMBER OF PROCESSES FOR BYZ – LEMMA 6.26 2 1 3 1:0 3: 0 ? 0 2: 0 Thought experiment 1’: 1 2’: 1 1 Hypothetical protocol for n=3, f=1. 3’: 1 Conclusion: no algorithm for n=3,
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Systems, Networks & Concurrency 2019 Summary Uwe R. Zimmer – The Australian National University 10 • Forms of concurrency • Models and terminology • Processes and threads • Basic concepts and notions • Processstates • Concurrent programming languages: • Explicit concurrency: e.g. Ada, Chapel • Implicit concurrency: functional programming – e.g. Haskell, Caml Summary Summary
Shortest paths Well-definedness of shortest paths Well-definedness of shortest paths LECTURE 22 Consider a digraph G = (V, E) with edge-weight functionw:E→R. Theweightofpathp=v1 → v2 → L → vk is defined to be Consider a digraph G = (V, E) with edge-weight functionw:E→R. Theweightofpathp=v1 → v2 → L → vk is defined to be Shortest
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Systems, Networks & Concurrency 2019 Communication & Sync3hronization Uwe R. Zimmer – The Australian National University [Ben-Ari06] [AdaRM2012] M. Ben-Ari Ada Reference Manual – Lan- guage and Standard Libraries; ISO/IEC 8652:201x (E) Principles of Concurrent and Dis- tributed Programming 2006, second edition, Prentice- Hall, ISBN 0-13-711821-X [Chapel 1.11.0 Language Specification Version 0.97] [Barnes2006] see course
COMPSCI 711 Agreement Misc radu/2020 SYNCHRONISERS: ATTEMPT TO SYNCHRONISE ASYNC NETWORKS (SEE LYNCH CH 16) DO NOT COPE WITH STOPPING (OR, EVEN LESS, WITH BYZ) FAILURES GlobSync ( ) o ensures that all messages are sent before receiving o collects all sent messages and then delivers them to their targets Global Synchronizer LocSync ( )
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