When converting a traditional sequential program to make it run as a parallelizable program, you need to consider four things as Partitioning, Communication, Synchronization, and Load balancing. Convert the following for-loop to make it run in two threads n consideration of partitioning. Assume that data is located in the array A[]. You must use std::thread(). A summation function needs to be defined as a lambda expression. double sum = 0; for (int i = 0; i < 100000; i++) sum += A[i];

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
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When converting a traditional sequential program to make it run as a parallelizable program, you need to consider four things as
Partitioning, Communication, Synchronization, and Load balancing. Convert the following for-loop to make it run in two threads
in consideration of partitioning. Assume that data is located in the array A[]. You must use std:thread(). A summation function
needs to be defined as a lambda expression.
double sum =
0;
for (int i = 0; i < 100000; i++)
sum += A[i];
Use the editor to format your answer
Transcribed Image Text:When converting a traditional sequential program to make it run as a parallelizable program, you need to consider four things as Partitioning, Communication, Synchronization, and Load balancing. Convert the following for-loop to make it run in two threads in consideration of partitioning. Assume that data is located in the array A[]. You must use std:thread(). A summation function needs to be defined as a lambda expression. double sum = 0; for (int i = 0; i < 100000; i++) sum += A[i]; Use the editor to format your answer
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