Static Testing techniques Lecture 03 Copyright By PowCoder代写 加微信 powcoder What is static testing Static Testing vs Dynamic Testing Review-based static testing Informal review Walkthrough Technical reviews inspection Static analysis and tools Code standards Code metrics Code structure What are we upto? Fundamentals of Testing – Test Process, Test Principles… Testing throughout the software development […]
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• Parallelizing Programs • Goal: speed up programs using multiple processors/cores 2 When is speedup important? • Applications can finish sooner – Search engines – High-res graphics – Weather prediction – Nuclear reactions – Bioinformatics Types of parallel machines • General purpose – GPU – Shared-memory multiprocessor (“multicore”) – Distributed-memory multicomputer • SIMD: single instruction,
Parallel Scientific Programming • Definitions – Speedup: Ts/Tp, where Ts is the sequential time and Tp is the time when using p cores • “Perfect speedup” is p, which really should be called “linear speedup” • Typically, speedup is less than p—but it can be larger because of memory hierarchy effects – Efficiency: Speedup/p •
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CSC373 Algorithm Design, Analysis & Complexity Nisarg Shah 373F20 – Nisarg Shah 1 Introduction • Instructors ➢ Nisarg Shah o cs.toronto.edu/~nisarg, nisarg@cs, SF 2301C o LEC 0101 and 0102 • TAs: Too many to list • Disclaimer! Totally useless this semester! ➢ First online version of the course, so expect a bumpy ride at the
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CSC373 Week 5: Network Flow (contd) Nisarg Shah 373F20 – Nisarg Shah 1 Recap • Some more DP ➢ Traveling salesman problem (TSP) • Start of network flow ➢ Problem statement ➢ Ford-Fulkerson algorithm ➢ Running time ➢ Correctness using max-flow, min-cut 373F20 – Nisarg Shah 2 This Lecture • Network flow in polynomial time
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CIS 455/555: Internet and Web Systems Fall 2019 Homework 3: MapReduce, Parallelism, and Stream Processing with Punctuation 1. Introduction In this assignment, you will extend StormLite to a distributed framework, which essentially emulates Apache Storm – but in the process, also emulates MapReduce. As we hinted at in the lectures, MapReduce is really doing parallel
University of Newcastle Discipline of Computing and Information Technology Semester 2, 2020 – SENG1120 Assignment 3 Due using the Blackboard Assignment submission facility: 11:59PM – Sunday November 15th, 2020 NOTE: The important information about submission and code specifics at the end of this assignment specification. INTRODUCTION In lectures, we have discussed the benefits of using
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Inf2C Computer Systems Coursework 2 MIPS Processor Simulator Deadline: Fri, 20 Nov, 16:00 Instructor: Aaron Smith TA: Siavash Katebzadeh The aim of this assignment is to write a simulator for a 5-stage multi-cycle MIPS processor. A simulator is nothing more than a functional model of a processor that mimics the behavior of a real processor
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COMP3520 Stage 2 of Assignment 3 2020 COMP3520 Operating Systems Internals Assignment 3: Stage 2 – Simple Memory Management General Instructions This is Stage 2 of Assignment 3. It is about multi-level queue dispatcher under the memory constraints and consists of two compulsory tasks: 1. Revise Assignment 3 Stage 1 program to add a simple
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Smalltalk Lecture 1 1 Why Smalltalk? > Pure object-oriented language and environment ¡ª ¡°Everything is an object¡± > Origin of many innovations in OO development ¡ª RDD, IDE, MVC, XUnit … > Improves on many of its successors ¡ª Fully interactive and dynamic 2 What is Smalltalk? > Pure OO language ¡ª Single inheritance ¡ª