Complete Modern C++ - Parallel Algorithms - II

The video tutorial explains how to measure execution time differences between parallel and serial algorithms. It covers initializing vectors with random values, testing sort algorithms, and analyzing CPU usage. The tutorial also compares the accumulate and reduce algorithms, highlighting the performance benefits of parallel execution. The video concludes by questioning the universal application of parallel algorithms, setting the stage for the next lecture.

What is the purpose of the helper clause introduced in the first section?

• To optimize the code for better performance

• To initialize random values in a vector

• To display the CPU usage during execution

• To measure and compare execution times of algorithms

Which tool is used to initialize the vector with random values?

• Default random engine

• CPU usage utility

• Execution policy

• Time point

What is the main advantage of using parallel execution policy?

• It increases the execution time

• It reduces the code complexity

• It simplifies the algorithm implementation

• It utilizes multiple CPU cores for faster execution

How does the CPU usage differ between parallel and serial execution?

• Parallel execution utilizes all cores, while serial does not

• Both use the same number of cores

• Serial execution uses all available cores

• Parallel execution uses fewer cores

What is the main difference between accumulate and reduce algorithms?

• Accumulate is faster than reduce

• Reduce uses a tree approach, while accumulate performs a left fold

• Accumulate is parallelized, reduce is not

• Reduce is used for sorting, accumulate is not

Why might the return value of accumulate overflow?

• Due to a large data set size

• Because it uses a tree approach

• It does not have an identity value

• It is not parallelized

What question is raised at the end of the video regarding parallel algorithms?

• Should we always use parallel algorithms?

• How to implement parallel algorithms?

• What is the best execution policy?

• How to measure execution time accurately?