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AnkurGMAT20
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Researcher: When writing code to perform a set of computations in 27 Jul 2024, 10:47
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1: minimization of total number of computations performed 2: minimization of total time to complete the set of computations
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47% (01:59) correct 53% (02:12) wrong based on 1928 sessions

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Researcher: When writing code to perform a set of computations in a single sequential process, best practices dictate the minimization of redundant computations performed by the computer by using clever tricks to use the results of previous computations still in memory rather than starting each computation anew. In good multiprocess code, on the other hand, redundant computations are often performed in the interest of reducing the communication of results between processes. This allows the processes to complete the whole set of computations more quickly. In summary, good multiprocess coding deemphasizes the 1 in favor of emphasizing the 2.­
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minimization of total number of computations performed
minimization of total time to complete the set of computations
maximization of total time to complete the set of computations
maximization of total number of computations performed
maximization of redundancy in computations performed
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1: minimization of total number of computations performed 2: minimization of total time to complete the set of computations
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Researcher: When writing code to perform a set of computations in 28 Jul 2024, 09:22
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chetan2u can you help explaining this one? Thank you
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Researcher: When writing code to perform a set of computations in 28 Jul 2024, 10:22
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Researcher: When writing code to perform a set of computations in a single sequential process, best practices dictate the minimization of redundant computations performed by the computer by using clever tricks to use the results of previous computations still in memory rather than starting each computation anew. In good multiprocess code, on the other hand, redundant computations are often performed in the interest of reducing the communication of results between processes. This allows the processes to complete the whole set of computations more quickly. In summary, good multiprocess coding deemphasizes the 1 in favor of emphasizing the 2.­
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There are two types of computation being spoken about.
single sequential process: minimisation of redundant computations
good multiprocess code: redundant computations are often performed in the interest of reducing the communication of results between processes. This allows the processes to complete the whole set of computations more quickly.

In summary, good multiprocess coding deemphasizes the 1 in favor of emphasizing the 2


So we are looking at multi process coding. What it favours will come in 2 and what is sacrificed will come in 1.

The line ‘ This allows the processes to complete the whole set of computations more quickly. ‘ gives the number 2 blank.
Redundant computations are done, so minimisation of redundant computations is sacrificed for minimisation in time.

We can now choose the option A and B accordingly.

Posted from my mobile device­
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Researcher: When writing code to perform a set of computations in 12 Jul 2025, 10:05
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in part 1 de-emphasise which means sacrifice as you stated I understand it reducing (de-emphasising) the maximisation of redundant computation... I am not able to understand reducing the minimization of redundant computation... kindly provide a little bit clarity

AnkurGMAT20
Researcher: When writing code to perform a set of computations in a single sequential process, best practices dictate the minimization of redundant computations performed by the computer by using clever tricks to use the results of previous computations still in memory rather than starting each computation anew. In good multiprocess code, on the other hand, redundant computations are often performed in the interest of reducing the communication of results between processes. This allows the processes to complete the whole set of computations more quickly. In summary, good multiprocess coding deemphasizes the 1 in favor of emphasizing the 2.­
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Researcher: When writing code to perform a set of computations in 13 Jul 2025, 09:48
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De-emphasize 1: you don’t insist on minimizing every redundant computation and you're okay doing extra work.

Emphasize 2: your primary goal becomes minimizing the total elapsed time to complete the full set of computations.


kumari555
in part 1 de-emphasise which means sacrifice as you stated I understand it reducing (de-emphasising) the maximisation of redundant computation... I am not able to understand reducing the minimization of redundant computation... kindly provide a little bit clarity

AnkurGMAT20
Researcher: When writing code to perform a set of computations in a single sequential process, best practices dictate the minimization of redundant computations performed by the computer by using clever tricks to use the results of previous computations still in memory rather than starting each computation anew. In good multiprocess code, on the other hand, redundant computations are often performed in the interest of reducing the communication of results between processes. This allows the processes to complete the whole set of computations more quickly. In summary, good multiprocess coding deemphasizes the 1 in favor of emphasizing the 2.­
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Researcher: When writing code to perform a set of computations in 10 Aug 2025, 23:57
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AnkurGMAT20
Researcher: When writing code to perform a set of computations in a single sequential process, best practices dictate the minimization of redundant computations performed by the computer by using clever tricks to use the results of previous computations still in memory rather than starting each computation anew. In good multiprocess code, on the other hand, redundant computations are often performed in the interest of reducing the communication of results between processes. This allows the processes to complete the whole set of computations more quickly. In summary, good multiprocess coding deemphasizes the 1 in favor of emphasizing the 2.­
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We are given:

In good multiprocess code, on the other hand, redundant computations are often performed in the interest of reducing the communication of results between processes. This allows the processes to complete the whole set of computations more quickly.

So a good multiprocess code would perform calculation again instead of getting the result from a previous calculation because apparently, 'communicating the result' takes longer than 'recalculating the result.'

Hence good multiprocess coding deemphasizes "minimization of total number of computations performed." [color=#000000]They don't care if more computations are performed.[/color]
But emphasize the "minimization of total time to complete the set of computations." They do stress upon reducing the time taken to perform the batch of calculations.
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