Deck 4: Characteristics and Operations in Parallel Programming

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Question
Scaling Characteristics of Parallel Programs Ts is

A)increase
B)constant
C)decreases
D)none
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Question
Speedup tends to saturate and efficiency _____ as a consequence of Amdahl's law.

A)increase
B)constant
C)decreases
D)none
Question
Speedup obtained when the problem size is _______ linearly with the number of processing elements.

A)increase
B)constant
C)decreases
D)depend on problem size
Question
The n × n matrix is partitioned among n processors, with each processor storing complete ___ of the matrix.

A)row
B)column
C)both
D)depend on processor
Question
cost-optimal parallel systems have an efficiency of ___

A)1
B)n
C)logn
D)complex
Question
The n × n matrix is partitioned among n2 processors such that each processor owns a _____ element.

A)n
B)2n
C)single
D)double
Question
how many basic communication operations are used in matrix vector multiplication

A)1
B)2
C)3
D)4
Question
In DNS algorithm of matrix multiplication it used

A)1d partition
B)2d partition
C)3d partition
D)both a,b
Question
In the Pipelined Execution, steps contain

A)normalization
B)communication
C)elimination
D)all
Question
the cost of the parallel algorithm is higher than the sequential run time by a factor of __

A)2020-03-02 00:00:00
B)2020-02-03 00:00:00
C)3*2
D)2/3+3/2
Question
The load imbalance problem in Parallel Gaussian Elimination: can be alleviated by using a ____ mapping

A)acyclic
B)cyclic
C)both
D)none
Question
A parallel algorithm is evaluated by its runtime in function of

A)the input size,
B)the number of processors,
C)the communication parameters.
D)all
Question
For a problem consisting of W units of work, p__W processors can be used optimally.

A)<=
B)>=
C)<
D)>
Question
many interactions in oractical parallel programs occur in _____ pattern

A)well defined
B)zig-zac
C)reverse
D)straight
Question
efficient implementation of basic communication operation can improve

A)performance
B)communication
C)algorithm
D)all
Question
efficient use of basic communication operations can reduce

A)development effort and
B)software quality
C)both
D)none
Question
Group communication operations are built using_____ Messenging primitives.

A)point-to-point
B)one-to-all
C)all-to-one
D)none
Question
one processor has a piece of data and it need to send to everyone is

A)one -to-all
B)all-to-one
C)point -to-point
D)all of above
Question
the dual of one -to-all is

A)all-to-one reduction
B)one -to-all reduction
C)pnoint -to-point reducntion
D)none
Question
Data items must be combined piece-wise and the result made available at

A)target processor finally
B)target variable finatlalyrget receiver finally
Question
wimpleat way to send p-1 messages from source to the other p-1 processors

A)algorithm
B)communication
C)concurrency
D)receiver
Question
In a eight node ring, node ____ is source of broadcast

A)1
B)2
C)8
D)0
Question
The processors compute ______ product of the vector element and the loval matrix

A)local
B)global
C)both
D)none
Question
one to all broadcast use

A)recursive doubling
B)simple algorithm
C)both
D)none
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Deck 4: Characteristics and Operations in Parallel Programming
1
Scaling Characteristics of Parallel Programs Ts is

A)increase
B)constant
C)decreases
D)none
constant
2
Speedup tends to saturate and efficiency _____ as a consequence of Amdahl's law.

A)increase
B)constant
C)decreases
D)none
decreases
3
Speedup obtained when the problem size is _______ linearly with the number of processing elements.

A)increase
B)constant
C)decreases
D)depend on problem size
increase
4
The n × n matrix is partitioned among n processors, with each processor storing complete ___ of the matrix.

A)row
B)column
C)both
D)depend on processor
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k this deck
5
cost-optimal parallel systems have an efficiency of ___

A)1
B)n
C)logn
D)complex
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6
The n × n matrix is partitioned among n2 processors such that each processor owns a _____ element.

A)n
B)2n
C)single
D)double
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k this deck
7
how many basic communication operations are used in matrix vector multiplication

A)1
B)2
C)3
D)4
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8
In DNS algorithm of matrix multiplication it used

A)1d partition
B)2d partition
C)3d partition
D)both a,b
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9
In the Pipelined Execution, steps contain

A)normalization
B)communication
C)elimination
D)all
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10
the cost of the parallel algorithm is higher than the sequential run time by a factor of __

A)2020-03-02 00:00:00
B)2020-02-03 00:00:00
C)3*2
D)2/3+3/2
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11
The load imbalance problem in Parallel Gaussian Elimination: can be alleviated by using a ____ mapping

A)acyclic
B)cyclic
C)both
D)none
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k this deck
12
A parallel algorithm is evaluated by its runtime in function of

A)the input size,
B)the number of processors,
C)the communication parameters.
D)all
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k this deck
13
For a problem consisting of W units of work, p__W processors can be used optimally.

A)<=
B)>=
C)<
D)>
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k this deck
14
many interactions in oractical parallel programs occur in _____ pattern

A)well defined
B)zig-zac
C)reverse
D)straight
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k this deck
15
efficient implementation of basic communication operation can improve

A)performance
B)communication
C)algorithm
D)all
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Unlock Deck
k this deck
16
efficient use of basic communication operations can reduce

A)development effort and
B)software quality
C)both
D)none
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Unlock for access to all 24 flashcards in this deck.
Unlock Deck
k this deck
17
Group communication operations are built using_____ Messenging primitives.

A)point-to-point
B)one-to-all
C)all-to-one
D)none
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k this deck
18
one processor has a piece of data and it need to send to everyone is

A)one -to-all
B)all-to-one
C)point -to-point
D)all of above
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19
the dual of one -to-all is

A)all-to-one reduction
B)one -to-all reduction
C)pnoint -to-point reducntion
D)none
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20
Data items must be combined piece-wise and the result made available at

A)target processor finally
B)target variable finatlalyrget receiver finally
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k this deck
21
wimpleat way to send p-1 messages from source to the other p-1 processors

A)algorithm
B)communication
C)concurrency
D)receiver
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k this deck
22
In a eight node ring, node ____ is source of broadcast

A)1
B)2
C)8
D)0
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23
The processors compute ______ product of the vector element and the loval matrix

A)local
B)global
C)both
D)none
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24
one to all broadcast use

A)recursive doubling
B)simple algorithm
C)both
D)none
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