Optimizing Execution Time for Linear Code in Mathematica with a P4 Processor

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SUMMARY

The discussion focuses on optimizing execution time for a linear code snippet in Mathematica running on a P4 Processor. The original code, which iterates from 1 to 47,888,755,200, takes an excessively long time to execute, prompting users to consider a more efficient approach. A proposed solution involves scaling down the iteration count and calculating the expected execution time based on a smaller sample size. This method allows for a more manageable computation while maintaining accuracy in estimating the total execution time.

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  • Familiarity with Mathematica programming language
  • Understanding of linear algorithms and their time complexity
  • Basic knowledge of performance optimization techniques
  • Experience with iterative loops in programming
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  • Research Mathematica's built-in timing functions for performance measurement
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Mathematica users, software developers, and data analysts looking to optimize code execution time, particularly in scenarios involving large iterations and performance constraints.

Amar.alchemy
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Kindly tell me how much time it may take to execute the below code in Mathematica software in a P4 Processor. Because I executed the below for nearly 5 mins but still it didn't display answer.

For[i = 1, i <= 47888755200, i++, If[i == 47888755100, Print]]
 
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Amar.alchemy said:
Kindly tell me how much time it may take to execute the below code in Mathematica software in a P4 Processor. Because I executed the below for nearly 5 mins but still it didn't display answer.

For[i = 1, i <= 47888755200, i++, If[i == 47888755100, Print]]


I think we can assume this code is linear. So, what you have to do is:
For[i = 1, i <= 10000, i++, If[i == x, Print]]

Where x is (10000/47888755100)*47888755200. Count the time with a function that gives you the time it takes, the time for your computation would be something like t0*47888755200/10000.


Greetz,
Littlepig
 

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