COP 5725 – Principles of Database Management Systems Professor Shu‐Ching Chen Database COP 5725 ‐‐‐ Fall 2016 Hospital System Database and Data Interface Term Project Due date: Nov. 3, 2016 (THU) The database contains most of the information used by the web application. A database is a collection of related data in the form of […]
Programming Languages and Paradigms COMP 302, Fall 2016 Assignment 2 Due date: Monday, October 24, 2016 6pm In this assignment you will implement a simple, top-down parser in JavaScript for the “WML” template lan- guage described in class. A(n optional) framework you can use to test your code is provided through the files wml.html and
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Chapter 1 Introduction Computer Networking: A Top Down Approach 6th edition Jim Kurose, Keith Ross Addison- Wesley March 2012 Introduction 1-1 Chapter 1: introduction our goal: get “feel” and terminology more depth, detail later in course approach: use Internet as example overview: what’s the Internet? what’s a protocol?
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Compilers and computer architecture Code-generation (1): stack-machines Martin Berger October 2015 Recall the function of compilers Plan for the next two weeks Plan for the next two weeks Remember the structure of a compiler? Source program Lexical analysis Syntax analysis Semantic analysis, e.g. type checking Intermediate code generation Optimisation Code generation Translated program Plan for
Compilers and computer architecture: Parsing Martin Berger October 2015 Recall the function of compilers Recall we are discussing parsing Source program Lexical analysis Intermediate code generation Optimisation Syntax analysis Semantic analysis, e.g. type checking Code generation Translated program Key steps Remember we need: Specifythesyntaxofthelanguage. Haveanalgorithmthatdecidesthelanguageandreturns an AST. Key steps CFGsasmechanismtospecifysyntaxwithrecursive structure G
Asymptotic Analysis of Algorithms David Weir (U of Sussex) Program Analysis Term 1, 2015 32 / 606 Analysing Algorithm Efficiency Things we might want to know: How efficient is a given algorithm? What sized problems can be solved within a reasonable time? Is some new algorithm really more efficient that the existing one? Which of
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Tutorial Week 5 Task 1. Consider the following grammar, which is ambiguous and left-recursive. E ::= E+E | E*E | -E | E/E | 0 | 1 | 2 | … Convert the grammar into a form that is free from left-recursion, but has the same language. It’s fine if your translation makes the language
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实现cache模拟器 (Ver. 1.0 2016/5/30 by wangxp@fudan.edu.cn ) 1、 实验目的 1）加深对cache的基本概念、基本组织结构以及基本工作原理的理解； 2）掌握cache容量、相联度、块大小对cache性能的影响； 3）掌握降低cache不命中率的各种方法以及这些方法对提高cache性能的好处； 4）理解LRU与随机法的基本思想以及它们对Cache性能的影响。 2、 实验材料 实验提供一个MyCache模拟器（在目录mycache下），包括功能说明、完整的实现以及运行的输入文件；同时，提供java版本的框架程序：界面的框架，实际的功能没有完成。 3、 实验的内容 设计并实现cache模拟器，能模拟处理器中cache的行为。处理器访存有三种类型：读指令、读数据和写数据，给出访存的地址和类型，我们的 cache的模拟器能够进行模拟这种带有 cache的访存行为，并能给出统计信息，如访存次数、cache命中次数、命中率等。 1）基本要求 能够设置cache总的大小； 能够设置cache块的大小； 能够设置cache的映射机制：直接映射、n路组相联； 能够设置cache的替换策略：LRU、FIFI、随机法…； 能够设置cache的写策略：写回发和写直达法； 2）较高要求 能够将cache分为数据cache和指令cache； 能够设置预取策略； 能够设置写不命中的调块策略； 有友好的操作界面，操作和界面如同给定的Mycache模拟器； 3）使用你的模拟器分析问题 cache容量对不命中率的影响； cache采取的映射机制对不命中率的影响； cache块大小对不命中率的影响； cache替换算法对不命中率的影响； 4、 实验提交的内容 4.1 实验报告 在实验报告中，需要添加图，图上表示出： 1） cache容量对不命中率的影响； 2） cache采取的映射机制对不命中率的影响； 3） cache块大小对不命中率的影响； 4） cache替换算法对不命中率的影响 4.2 源代码 程序编写可以使用c/c++，java，c#，Python等编写。需要提交： 1） 实验源代码；
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Chapter 2 – Uninformed Search Prolog Do we have to? Yes… Logic Programming Uses a set of logical assertions (rule base), as a program. Execution is initiated by a query or goal, which the system attempts to prove true or false, based on the existing set of assertions. 2 Prolog Prolog is a logic programming
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COMP9313 2016s2 Assignment 4 Processing Graph Data using MapReduce on EMR Problem 1 (10 pts): Reverse graph edge direction Given a directed graph, reverse the direction of all edges. Input files: In the input file, each line contains a pair of node ids: ¡°FromNodeId\tToNodeId¡±. In the above example, the input contains four lines: ¡°1\t2¡±, ¡°1\t3¡±,
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