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In computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or continuous process.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Algorithmic efficiency | is a | property of an algorithm which relates to the amount of computational resources used by the algorithm | 0.90 | text |
| time | instance of | different resources | 0.80 | text |
| space complexity cannot be compared directly | instance of | different resources | 0.80 | text |
| so which of two algorithms is considered to be more efficient often depends on which measure of efficiency is considered most important.For example | instance of | different resources | 0.80 | text |
| cycle sort | instance of | different resources | 0.80 | text |
| Timsort are both algorithms to sort a list of items from smallest to largest | instance of | different resources | 0.80 | text |
| IBM for speed.Some benchmarks provide opportunities for producing an analysis comparing the relative speed of various compiled | instance of | in the mainframe world certain proprietary sort products from independent software companies such as Syncsort compete with products from the major suppliers | 0.80 | text |
| interpreted languages for example | instance of | in the mainframe world certain proprietary sort products from independent software companies such as Syncsort compete with products from the major suppliers | 0.80 | text |
| The Computer Language Benchmarks Game compares the performance of implementations of typical programming problems in several programming languages.Even creating | instance of | in the mainframe world certain proprietary sort products from independent software companies such as Syncsort compete with products from the major suppliers | 0.80 | text |
| CUDA | instance of | more investments are being made into efficient high-level APIs for parallel and distributed computing systems | 0.80 | text |
| TensorFlow | instance of | more investments are being made into efficient high-level APIs for parallel and distributed computing systems | 0.80 | text |
| Hadoop | instance of | more investments are being made into efficient high-level APIs for parallel and distributed computing systems | 0.80 | text |
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