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Solving the traveling salesman problem in a distributed manner has been attempted and has been detailed in several papers and websites. For this task, using a distributed parallel Brand-and-Bound solution to the problem, solve for the following graph: (The graph is in the attached file) Refer to Week 8 adjaceny matrix for description Implement the system in either RPC or RMI and submit the code for your solution with screen shots of it running. Run the solution for a series of tests, starting on 1 computer and add one computer every test until eight computers are being used to solve the problem (try to include mobile devices). Document the time taken to solve the problem and plot it against the number of computers working on the problem. Submit a copy of the graph with a summary of your findings. (From what I understand, the code is available on a number of websites for the Traveling Salesman Problem) Length: Screenshots and all code and output; 500-700 words summary of findings

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COMP 1010 Introduction to Computer Science 1

Q1: Preparing the Grid & Colouring Cells Download the A5Q1template.pde file in the Assignment 5 folder in UM Learn.The grid parameters have been set for you. A global constant CELLSIZE stores the width and height of each square cell on the gameboard, in pixels. The global constants NUM_ROWS and ...

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The task1 is to propose a project design of your own direction that leads to implementation in next Task. The target project will implement a server(s) and the clients that will provide a robust distributed application in your selected problem domain. Task1 will involve a proposal document describin ...

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420047 Data Processing with Python

Question: Understanding of the Python programming syntax that you can design, implement and execute a data processing task independently. Objective: The purpose of this part is to demonstrate competence in the following skills: Able to write Python programs and use various Python packages such as ...

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COMP1680 Clouds Grids And Virtualisation

Task: Learning Outcomes: • Characterise and critically evaluate high performance computing based architectures and their suitability for given applications. • Implement and execute applications using shared and distributed memory programming paradigms. • Describe and critically di ...

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