**Design an Algorithm for Parallel Summation Using 2-D Mesh Interconnection***Objective:* Develop an algorithm to compute the sum of \( n \) numbers in parallel using a 2-D mesh network architecture. Assume there are \( p \) processors available with the initial list located on Processor 0. After designing the algorithm, analyze both the execution time, which includes communication and computation time, and calculate the speedup.*Instructions:*1. **Pseudocode Development:** Start by creating a pseudocode that outlines the steps necessary for the parallel sum computation. This should detail how data is distributed, processed, and results are gathered.2. **Analyze Execution Time:** - **Communication Time:** Consider the data transfer times between processors in the 2-D mesh network. - **Computation Time:** Account for the time taken by each processor to perform the sum computations.3. **Calculate Speedup:** Determine the efficiency of your parallel algorithm by calculating speedup, which is the ratio of the time taken by the best-known serial algorithm to the time taken by your parallel algorithm.4. **Diagram Creation:** If necessary, illustrate the algorithm with a diagram. This can help in visualizing the data distribution across processors and the flow of computations and communications.This task involves both theoretical analysis and practical algorithm design, preparing learners to handle complex parallel computing challenges.

An algorithm is a process used to complete a computation or solve a riddle. Algorithms are precise…

Design an algorithm to find the sum of n numbers in parallel using 2-D mesh interconnection work (Assume p processors are available, and the original list is on Processor 0). Write the pseudocode, and then analyze the execution time (including communication time and computation time), and calculate the speedup. Please draw the picture to explain the algorithm as well if you think it is necessary.

Design an algorithm to find the sum of n numbers in parallel using 2-D mesh interconnection work (Assume p processors are available, and the original list is on Processor 0). Write the pseudocode, and then analyze the execution time (including communication time and computation time), and calculate the speedup. Please draw the picture to explain the algorithm as well if you think it is necessary.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Dynamic Multithreading

An algorithm that executes a single instruction in a uniprocessor system is called a serial algorithm. In the case of a multiprocessor computer system, multiple instructions are executed in parallel. A multithreaded algorithm is an algorithm that enables multiple instances of the code to be executed concurrently.Multithreading is a concept that allows the CPU to execute threads independently while sharing similar resources. It is an important CPU feature that works on the process. Thread is a sequence of instructions that executes in parallel with other threads. Because of multithreading, multiple tasks can be performed within a single process.

Question

**Design an Algorithm for Parallel Summation Using 2-D Mesh Interconnection**

*Objective:* Develop an algorithm to compute the sum of \( n \) numbers in parallel using a 2-D mesh network architecture. Assume there are \( p \) processors available with the initial list located on Processor 0. After designing the algorithm, analyze both the execution time, which includes communication and computation time, and calculate the speedup.

*Instructions:*

1. **Pseudocode Development:** Start by creating a pseudocode that outlines the steps necessary for the parallel sum computation. This should detail how data is distributed, processed, and results are gathered.

2. **Analyze Execution Time:**
- **Communication Time:** Consider the data transfer times between processors in the 2-D mesh network.
- **Computation Time:** Account for the time taken by each processor to perform the sum computations.

3. **Calculate Speedup:** Determine the efficiency of your parallel algorithm by calculating speedup, which is the ratio of the time taken by the best-known serial algorithm to the time taken by your parallel algorithm.

4. **Diagram Creation:** If necessary, illustrate the algorithm with a diagram. This can help in visualizing the data distribution across processors and the flow of computations and communications.

This task involves both theoretical analysis and practical algorithm design, preparing learners to handle complex parallel computing challenges.

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