Complete Modern C++ - Parallel Algorithms - I

Complete Modern C++ - Parallel Algorithms - I

Assessment

Interactive Video

Information Technology (IT), Architecture, Science

University

Hard

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The video tutorial introduces parallel STL algorithms in C++17, explaining how they differ from serial execution by utilizing multiple threads. It covers execution policies, which guide whether algorithms run sequentially or in parallel. The tutorial details three execution policies: sequenced, parallel, and parallel unsequenced, highlighting their roles in algorithm execution. It concludes with a list of algorithms parallelized in C++17 and examples of their usage.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary difference between default STL algorithms and their parallel versions introduced in C++17?

Parallel versions do not use execution policies.

Parallel versions are slower than serial versions.

Parallel versions can execute on multiple threads.

Parallel versions execute on a single thread.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the execution policy in parallel STL algorithms?

It defines the input parameters for the algorithm.

It guides whether the algorithm should execute serially or parallelly.

It specifies the memory allocation for the algorithm.

It determines the data type of the algorithm.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a type of execution policy in parallel STL algorithms?

Parallel unsequenced policy

Sequenced policy

Parallel policy

Concurrent policy

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the parallel unsequenced policy allow in terms of execution?

Execution only on a single thread

Execution that is strictly sequential

Execution without vectorization

Execution that may be parallelized, vectorized, or migrated across threads

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does vectorization enhance the execution of parallel algorithms?

By reducing the number of threads used

By executing multiple instructions in parallel using special CPU instructions

By increasing the memory usage

By simplifying the algorithm's syntax