Inner loop program construct: A faster way for program execution
Loops are repetitive control structures in programming languages. They are used extensively in many algorithms. The for-loop and while-loop exist, where the former is repeated a number of times while the latter is repeated until a condition is met. Some have asked if re-arranging loops in certain wa...
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| Format: | Article |
| Language: | English |
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De Gruyter
2018-08-01
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| Series: | Open Computer Science |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/comp.2018.8.issue-1/comp-2018-0004/comp-2018-0004.xml?format=INT |
| _version_ | 1818519090503876608 |
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| author | Adewumi Tosin P. |
| author_facet | Adewumi Tosin P. |
| author_sort | Adewumi Tosin P. |
| collection | DOAJ |
| description | Loops are repetitive control structures in programming languages. They are used extensively in many algorithms. The for-loop and while-loop exist, where the former is repeated a number of times while the latter is repeated until a condition is met. Some have asked if re-arranging loops in certain ways can change a program’s speed to produce machine-independent optimisation. Therefore, this research sought to find out if there is any speed difference in a single loop of computations and a loop with an inner loop of same computations. Greater focus is on inner for-loop. The research used a comparative study method in order to evaluate the primary data obtained from running several tests in four popular programming languages: C, C#, Python and R. The Python implementations were further tested on Ubuntu 16 for comparison with results from Windows 10. Results established that, across all languages, there were more computations performed per unit time with an inner for-loop than no inner loop, meaning, given the same number of computations to perform, a loop with an inner for-loop will finish faster. The inner while-loop didn’t perform so well, though. This study will help developers in making better choices with programming language and style. |
| first_indexed | 2024-12-11T01:19:00Z |
| format | Article |
| id | doaj.art-d43cd775ded245ec852d4622ff1b1404 |
| institution | Directory Open Access Journal |
| issn | 2299-1093 |
| language | English |
| last_indexed | 2024-12-11T01:19:00Z |
| publishDate | 2018-08-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Computer Science |
| spelling | doaj.art-d43cd775ded245ec852d4622ff1b14042022-12-22T01:25:47ZengDe GruyterOpen Computer Science2299-10932018-08-018111512210.1515/comp-2018-0004comp-2018-0004Inner loop program construct: A faster way for program executionAdewumi Tosin P.0Computer Sciences Department, University of Lagos,Lagos, NigeriaLoops are repetitive control structures in programming languages. They are used extensively in many algorithms. The for-loop and while-loop exist, where the former is repeated a number of times while the latter is repeated until a condition is met. Some have asked if re-arranging loops in certain ways can change a program’s speed to produce machine-independent optimisation. Therefore, this research sought to find out if there is any speed difference in a single loop of computations and a loop with an inner loop of same computations. Greater focus is on inner for-loop. The research used a comparative study method in order to evaluate the primary data obtained from running several tests in four popular programming languages: C, C#, Python and R. The Python implementations were further tested on Ubuntu 16 for comparison with results from Windows 10. Results established that, across all languages, there were more computations performed per unit time with an inner for-loop than no inner loop, meaning, given the same number of computations to perform, a loop with an inner for-loop will finish faster. The inner while-loop didn’t perform so well, though. This study will help developers in making better choices with programming language and style.http://www.degruyter.com/view/j/comp.2018.8.issue-1/comp-2018-0004/comp-2018-0004.xml?format=INTfor loopwhile loopprogramming languageswindows 10optimisation |
| spellingShingle | Adewumi Tosin P. Inner loop program construct: A faster way for program execution Open Computer Science for loop while loop programming languages windows 10 optimisation |
| title | Inner loop program construct: A faster way for program execution |
| title_full | Inner loop program construct: A faster way for program execution |
| title_fullStr | Inner loop program construct: A faster way for program execution |
| title_full_unstemmed | Inner loop program construct: A faster way for program execution |
| title_short | Inner loop program construct: A faster way for program execution |
| title_sort | inner loop program construct a faster way for program execution |
| topic | for loop while loop programming languages windows 10 optimisation |
| url | http://www.degruyter.com/view/j/comp.2018.8.issue-1/comp-2018-0004/comp-2018-0004.xml?format=INT |
| work_keys_str_mv | AT adewumitosinp innerloopprogramconstructafasterwayforprogramexecution |