summing on different paradigms. 1. One master thread aggregating and sum the result of n slave-threads that each process sums a different range of values in a given array of 1000 random integers. 2. Tree-reduction: Each thread will receive an segment of array of numbers, it will fork/spawn two new slaves each perform summing on different half of the received array segment, and the parent aggregate and return the total from its two slaves to its parent thread. Start with 7 nodes thread tree, when you are comfortable, you can extend it to a full thread tree. Test your code on different size of data What to submit: 1. Your python code

summing on different paradigms. 1. One master thread aggregating and sum the result of n slave-threads that each process sums a different range of values in a given array of 1000 random integers. 2. Tree-reduction: Each thread will receive an segment of array of numbers, it will fork/spawn two new slaves each perform summing on different half of the received array segment, and the parent aggregate and return the total from its two slaves to its parent thread. Start with 7 nodes thread tree, when you are comfortable, you can extend it to a full thread tree. Test your code on different size of data What to submit: 1. Your python code

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

Race Condition

A race condition occurs within a critical section when two or more tasks try to access and alter a shared resource simultaneously. As a consequence, the process changes to a state of inconsistency.

Question

Herr array of numbers, it will fork/spawn two new slaves each perform summing .

Python
ocessing module to perform
summing on different paradigms.
1-locking parallel array
1. One master thread aggregating and sum the result of n slave-threads that each
process sums a different range of values in a given array of 1000 random integers.
2. Tree-reduction: Each thread will receive an segment of array of numbers, it will
fork/spawn two new slaves each perform summing on different half of the received
array segment, and the parent aggregate and return the total from its two slaves to its
parent thread. Start with 7 nodes thread tree, when you are comfortable, you can
extend it to a full thread tree.
Test your code on different size of data
What to submit:
1. Your python code

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