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....


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

Extracted 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="">

Jun 06, 2022
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