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Mixed-precision arithmetic is a form of floating-point arithmetic that uses numbers with varying widths in a single operation.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mixed-precision arithmetic | is a | form of floating-point arithmetic that uses numbers with varying widths in a single operation | 0.90 | text |
| Summit utilize mixed-precision arithmetic to be more efficient with regards to memory | instance of | which allows for smaller increments to be used for the approximation.Supercomputers | 0.80 | text |
| processing time | instance of | which allows for smaller increments to be used for the approximation.Supercomputers | 0.80 | text |
| as well as power consumption.Floating point formatA floating-point number is typically packed into a single bit-string | instance of | which allows for smaller increments to be used for the approximation.Supercomputers | 0.80 | text |
| as the sign bit | instance of | which allows for smaller increments to be used for the approximation.Supercomputers | 0.80 | text |
| the exponent field | instance of | which allows for smaller increments to be used for the approximation.Supercomputers | 0.80 | text |
| and the significand or mantissa | instance of | which allows for smaller increments to be used for the approximation.Supercomputers | 0.80 | text |
| from left to right | instance of | which allows for smaller increments to be used for the approximation.Supercomputers | 0.80 | text |
| Mixed-precision arithmetic | related to Machine learning | Mixed-precision | 0.60 | section |
| Mixed-precision arithmetic | related to Machine learning | Some | 0.60 | section |
| Mixed-precision arithmetic | related to Machine learning | Nvidia | 0.60 | section |
| Mixed-precision arithmetic | related to Machine learning | Intel | 0.60 | section |
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