Utilize Python Multiprocessing module to perform non-locking parallel array 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

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
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Utilize Python Multiprocessing module to perform non-locking parallel array
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
2. a screen (or video) capture of your code execution
Transcribed Image Text:Utilize Python Multiprocessing module to perform non-locking parallel array 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 2. a screen (or video) capture of your code execution
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