parallel computing set 1 Detailed Explanation And More Example

Question : 1

Functional Decomposition:

a) Partitioning in that the data associated with a problem is decompose(D) Each parallel task then works on a portion of the dat(A)

b) Partitioning in that, the focus is on the computation that is to be performed rather than on the data manipulated by the computation. The problem is decomposed according to the work that must be done. Each task then performs a portion of the overall work.

c) It is the time it takes to send a minimal (0 byte) message from point A to point (B)

d) None of these

Question : 2

It distinguishes multi-processor computer architectures according to how they can be classified along the two independent dimensions of Instruction and Dat(A) Each of these dimensions can have only one of two possible states: Single or Multiple.

a) Single Program Multiple Data (SPMD)

b) Flynn’s taxonomy

c) Von Neumann Architecture

d) None of these

Question : 3

Coarse-grain Parallelism

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

Distributed Memory

a) A computer architecture where all processors have direct access to common physical memory

b) It refers to network based memory access for physical memory that is not common

c) Parallel tasks typically need to exchange dat(A) There are several ways this can be accomplished, such as through, a shared memory bus or over a network, however the actual event of data exchange is commonly referred to as communications regardless of the method employe(D)

d) None of these

Question : 5

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 : 6

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