parallel computing set 1 Detailed Explanation And More Example

Question : 1

In designing a parallel program, one has to break the problem into discreet chunks of work that can be distributed to multiple tasks. This is known as

a) Decomposition

b) Partitioning

c) Compounding

d) Both A and B

Question : 2

Fine-grain Parallelism is

a) In parallel computing, it is a qualitative measure of the ratio of computation to communication

b) Here relatively small amounts of computational work are done between communication events

c) Relatively large amounts of computational work are done between communication / synchronization events

d) None of these

Question : 3

Granularity is

a) In parallel computing, it is a qualitative measure of the ratio of computation to communication

b) Here relatively small amounts of computational work are done between communication events

c) Relatively large amounts of computational work are done between communication / synchronization events

d) None of these

Question : 4

These applications typically have multiple executable object files (programs). While the application is being run in parallel, each task can be executing the same or different program as other tasks. All tasks may use different data

a) Single Program Multiple Data (SPMD)

b) Multiple Program Multiple Data (MPMD)

c) Von Neumann Architecture

d) None of these

Question : 5

In shared Memory

a) Multiple processors can operate independently but share the same memory resources

b) Multiple processors can operate independently but do not share the same memory resources

c) Multiple processors can operate independently but some do not share the same memory resources

d) None of these