Parallel and Concurrent Algorithms Concepts

The video tutorial explains parallel algorithms, contrasting them with serial algorithms. It discusses the concept of parallelizability, providing examples of embarrassingly parallel and inherently serial problems. The motivation for using parallel algorithms is explored, highlighting the impact of multi-core processors. Challenges such as communication overhead and load balancing are addressed, along with the role of distributed algorithms.

What is a key characteristic of a parallel algorithm?

• It is always slower than a serial algorithm.

• It can be executed simultaneously on multiple processors.

• It requires sequential execution of all steps.

• It can only be executed on a single processor.

How do concurrent algorithms differ from parallel algorithms?

• Concurrent algorithms are a type of serial algorithm.

• Concurrent algorithms are always faster.

• Concurrent algorithms focus on managing multiple tasks at once.

• Parallel algorithms are executed on a single processor.

What is an example of an embarrassingly parallel problem?

• Solving a Rubik's cube.

• Calculating the value of pi.

• Checking numbers for primality.

• Solving the three-body problem.

Which of the following is an inherently serial problem?

• Checking numbers for primality.

• Iterative solutions to the three-body problem.

• Solving a Rubik's cube.

• Hash decryption.

Why have parallel algorithms become more common since the early 2000s?

• Decrease in single-core processor performance.

• Increase in frequency scaling.

• Advancements in multi-core processors.

• Lack of interest in serial algorithms.

What is a challenge associated with shared memory in parallel algorithms?

• It eliminates communication overhead.

• It reduces processor and bus cycles.

• It requires no additional locking.

• It serializes some portions of the algorithm.

What is a key issue in load balancing for parallel algorithms?

• Ensuring input size is balanced.

• Ensuring workload is balanced.

• Ensuring all processors are idle.

• Ensuring only one processor is used.

What is a characteristic of distributed algorithms?

• They do not require communication between processors.

• They are inherently serial.

• They are designed for single-core processors.

• They are used in cluster computing environments.