Types of Parallelism in Multicore Systems

It manages thread distribution across cores efficiently.

It ensures that multiple threads run in parallel on a multicore system.

It controls the degree of multiprogramming and is invoked infrequently.

It selects which process should be executed next and allocates CPU, and it is invoked frequently. (correct)

Data parallelism operates on different data, while task parallelism operates on the same data with different threads.

Data parallelism involves distributing threads across cores, while task parallelism involves distributing subsets of the same data across multiple cores.

Data parallelism distributes subsets of the same data across multiple cores, while task parallelism distributes threads across cores to perform unique operations. (correct)

Data parallelism is efficient for thread management, while task parallelism may cause all threads to block.

It controls the degree of multiprogramming in a system.

It is invoked infrequently and may be slow.

It spends more time doing I/O than computations and has many short CPU bursts. (correct)

It spends more time doing computations and has few very long CPU bursts.

<p>It selects which processes should be brought into the ready queue and controls the degree of multiprogramming.</p> Signup and view all the answers

<p>One thread blocking causes all to block.</p> Signup and view all the answers