NWEN303 Concurrent Programming 4 Parallelism using libraries (Java) Marco Servetto VUW ● ● Writing parallel programs is bad Sometimes, it is what we have to do anyway. In this lecture and the next one (and sort of the rest of the course) we will focus on how to survive and suffer as little as possible. […]
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COMP20008 Elements of Data Processing Semester 1 2021 Lecture 3 Part I – Part IV: Data Formats © University of Melbourne 2021 Data Formats © University of Melbourne 2021 Examples of Data Formats Unstructured Semi-Structured Structured Text files/documents XML Databases Audio JSON Tables Video Webpages Spreadsheets Social media data CSV, NoSQL, … More Machine Readable
2021.1 Multicore Computing, Project #3 (Due : 11:59pm, May 24th) Submission Rule 1. Create a directory {studentID#}_proj3 (example: 20123601_proj2). In the directory, create subdirectories ¡®prob1¡¯ and ¡®prob2¡¯. 2.a For problem 1, write (i)¡¯C with OpenMP¡¯ source code prob1.c, (ii)a document that reports the parallel performance of your code, and (iii) readme.txt into the directory “prob1”.
INFO20003 Database Systems Dr Renata Borovica-Gajic Lecture 12 Query Processing Part II Copyright By PowCoder代写 加微信 powcoder INFO20003 Database Systems © University of Melbourne Remember this? Components of a DBMS Will briefly touch upon … Query processing module Parser/ Compiler Optimizer Executor TODAY Joins Concurrency control module Transaction mgr. Crash recovery module Concurrency control module
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COMP 3430 Operating systems Process lifecycle, threads intro January 31st, 2022 Copyright By PowCoder代写 加微信 powcoder By the end of today’s lecture, you should be able to: ▶ Describe the lifecycle of a process. ▶ Compare and contrast processes and The Rocket Book (Public Domain) Assignment 1 Assignment 1 is now available, let’s check it
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Today: Four Fundamental OS Concepts • Thread: Execution Context – Fully describes program state – Program Counter, Registers, Execution Flags, Stack Copyright By PowCoder代写 加微信 powcoder • Address space (with or w/o translation) – Set of memory addresses accessible to program (for read or write) – May be distinct from memory space of the physical
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Distributed System Models Most concepts are drawn from Chapter 2 © Pearson Education Dr. Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computing and Information Systems The University of Melbourne, Australia http://www.cloudbus.org/652 Some ideas from Chapter 1 © Pearson Education Presentation Outline 2 ◼ Introduction ◼ PhysicalModels: ◼ Three Generations of DS:
Introduction to Distributed Systems and Characterisation Most concepts are drawn from Chapter 1 Dr. Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne, Australia http://www.buyya.com http://clouds.cis.unimelb.edu.au/~rbuyya/ Presentation Outline 2 ◼ Introduction ◼ Defining Distributed Systems ◼ Characteristics of Distributed Systems ◼ Example Distributed Systems ◼
OS Support for Building Distributed Applications: Multithreaded Programming using Java Threads Dr. Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne, Australia http://www.buyya.com 1 Outline ◼ Introduction to Middleware ◼ Thread Applications ◼ Defining Threads ◼ Java Threads and States ◼ Architecture of Multithreaded servers
300144 Object Oriented Analysis 300888 Object Oriented Analysis (Advanced) Tutorial 2 – UML (Week 3) Student Name: ______________________________________ Student ID: ______________________________________ Tutorial Class: ______________________________________ Instructions to students – • Attempt all questions • This Tutorial will contribute to your final assessment mark • The Tutor will check your solutions when you are finished • OOA
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