UDP Example TCP Example Computer Networking – Spring 2019 TCP Intro TCP (transport control protocol) Most complex transport protocol Reliable delivery In-order delivery Flow control Congestion control TCP is the default for most applications Web Email File transfer Remote login Etc. Programming TCP We will make two programs Server – will await connections from clients […]
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Squishy Maps for Soft Body Modelling Using Generalised Chain Mail KIT308/408 (Advanced) Multicore Architecture and Programming Revision / Crash Course 2: C/C++ Dr. Ian Lewis Discpline of ICT, School of TED University of Tasmania, Australia 1 There are a number of concepts we use in this unit that it might be helpful to have a
PowerPoint Presentation Transactions & Concurrency Control 2 R&G 16/17 There are three side effects of acid. Enhanced long term memory, decreased short term memory, and I forget the third. – Timothy Leary 1 TWO PHASE Locking Two Phase Locking (2PL) The most common scheme for enforcing conflict serializability A bit “pessimistic” Sets locks for fear
Finite-state machines Finite-State Machines (FSMs) CS 536 Some announcements P1 TA office hours 3 A compiler is a recognizer of language S (Source) a translator from S to T (Target) a program in language H (Host) For example, gcc: S is C, T is x86, H is C Last time Why do we need a
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Routing Overview Programming Homework 4 Due by 04/21/2019. Firm deadline Node B PING Node A PONG Creating a Gnutella network A node joins the network with a PING to announce self IP address, port, number/size of shared files Receivers forward the Ping to their neighbors back-propagate a PONG to announce self, including sender’s IP address
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Squishy Maps for Soft Body Modelling Using Generalised Chain Mail KIT308/408 (Advanced) Multicore Architecture and Programming SIMD Challenges Dr. Ian Lewis Discipline of ICT, School of TED University of Tasmania, Australia 1 Certain things are hard (/hardish) when translating to SIMD Dynamic memory allocation / alignment Conditional code Changing data-structures breaks everything It’s a really
ESS116 ESS 116 Introduction to Data Analysis in Earth Science Image Credit: NASA Instructor: Mathieu Morlighem E-mail: mmorligh@uci.edu (include ESS116 in subject line) Office Hours: 3218 Croul Hall, Friday 2:00 pm – 3:00 pm This content is protected and may not be shared uploaded or distributed Course introduction Syllabus review Why this class matters Logistics
PowerPoint Presentation Basics in programming Lectures 3 Basics of pseudo-coding Comments and variables Getting started with Python What’s pseudo-coding Idea / Problem Solution / Plan Pseudo-code Code Pseudo-code what is it? -Design the solutions to problems without actually knowing how to code -Logic of your solution to a specific coding challenge using natural language -You
Nondeterministic Finite Automata Nondeterministic Finite Automata (NFA) CS 536 Previous Lecture Scanner: converts a sequence of characters to a sequence of tokens Scanner implemented using FSMs FSM: DFA or NFA This Lecture NFAs from a formal perspective Theorem: NFAs and DFAs are equivalent Regular languages and Regular expressions 3 Creating a Scanner Scanner Generator Last
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Squishy Maps for Soft Body Modelling Using Generalised Chain Mail KIT308/408 (Advanced) Multicore Architecture and Programming x86 (and x64) SIMD Dr. Ian Lewis Discipline of ICT, School of TED University of Tasmania, Australia 1 Intel has been introducing SIMD instructions into the x86 architecture since 1997 With MMX Intel kept adding SIMD with the SSE