2) Advanced version with more than two levels of threads The master thread creates two slave-threads where each slave-thread is responsible to sum half segment of the array. Each slave thread will fork/spawn two new slave-threads where each new slave-thread sums half of the array segment received by its parent. Each slave thread will return the subtotal to its parent thread and the parent thread aggregates and returns the total to its
USE PYTHON MULTI THREADING TO COMPLETE DO NOT USE PROCESSES
ONLY COMPLETE PART 2 using MULTI THREADING
1) Basic version with two levels of threads (master and slaves)
One master thread aggregates and sums the result of n slave-threads where each slavethread sums a different range of values in an array of 1000 random integers (please
program to generate 1000 random integers to populate the array).
************ONLY COMPLETE THIS PART BELOW***************
2) Advanced version with more than two levels of threads
The master thread creates two slave-threads where each slave-thread is responsible to sum
half segment of the array.
Each slave thread will fork/spawn two new slave-threads where each new slave-thread
sums half of the array segment received by its parent. Each slave thread will return the
subtotal to its parent thread and the parent thread aggregates and returns the total to its
parent thread. Start with 7 nodes thread tree, when you are comfortable, you can extend it
to a full thread tree.
In this question we have to write a python code for the multi-threading program, where we are asked to perform:
Advanced version with more than two levels of threads
The master thread creates two slave-threads where each slave-thread is responsible to sum
half segment of the array.
Each slave thread will fork/spawn two new slave-threads where each new slave-thread
sums half of the array segment received by its parent. Each slave thread will return the
subtotal to its parent thread and the parent thread aggregates and returns the total to its
parent thread. Start with 7 nodes thread tree, when you are comfortable, you can extend it
to a full thread tree.
Let's code and hope this helps, if you find query on the solution you may utilize threaded question feature.
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