parallel computing set 2 Detailed Explanation And More Example

Question : 1

Latency is

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 one point to other point

d) None of these

Question : 2

Asynchronous communications

a) It involves data sharing between more than two tasks, which are often specified as being members in a common group, or collective.

b) It involves two tasks with one task acting as the sender/producer of data, and the other acting as the receiver/consumer.

c) It allows tasks to transfer data independently from one another.

d) None of these

Question : 3

These computer uses the stored-program concept. Memory is used to store both program and data instructions and central processing unit (CPU) gets instructions and/ or data from memory. CPU, decodes the instructions and then sequentially performs them.

a) Single Program Multiple Data (SPMD)

b) Flynn’s taxonomy

c) Von Neumann Architecture

d) None of these

Question : 4

Domain 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 : 5

Parallel Overhead is

a) Observed speedup of a code which has been parallelized, defined as: wall-clock time of serial execution and wall-clock time of parallel execution

b) The amount of time required to coordinate parallel tasks. It includes factors such as: Task start-up time, Synchronizations, Data communications.

c) Refers to the hardware that comprises a given parallel system - having many processors

d) None of these