Warning

The SpinalHDL floating point support is under development and only partially used/tested, if you have any bug with it or you think that an functionality is missing, please create a github issue. Please, do not use undocumented features.

# Floating¶

## Description¶

The `Floating`

type corresponds to IEEE-754 encoded numbers. A second type called `RecFloating`

helps in simplifying your design by recoding the floating point value simplify some edge cases in IEEE-754 floating point

It’s composed of a sign bit, an exponent field and a mantissa field. The widths of the different fields are defined in the IEEE-754 or de-facto standards.

This type can be used with the following import

```
import spinal.lib.experimental.math._
```

### IEEE-754 floating format¶

The numbers are encoded into IEEE-754 floating point format.

### Recoded floating format¶

Since IEEE-754 has some quirks about denormalized numbers and special values, Berkeley proposed another way of recoding floating point values.

The mantissa is modified so that denormalized values can be treated the same as the normalized ones.

The exponent field is one bit larger that one of the IEEE-754 number.

The sign bit is kept unchanged between the two encodings.

Examples can be found here

#### Zero¶

The zero is encoded with the three leading zeros of the exponent field being stuck to zero.

#### Denormalized values¶

Denormalized values are encoded in the same way as a normal floating point number. The mantissa is shifted so that the first one becomes implicit. The exponent is encoded as 107 (decimal) plus the index of the highest bit set to 1.

#### Normalized values¶

The recoded mantissa for normalized values is exactly the same as the original IEEE-754 mantissa. The recoded exponent is encoded as 130 (decimal) plus the original exponent value.

#### Infinity¶

The recoded mantissa value is treated as don’t care. The recoded exponent three highest bits is 6 (decimal), the rest of the exponent can be treated as don’t care.

#### NaN¶

The recoded mantissa for normalized values is exactly the same as the original IEEE-754 mantissa. The recoded exponent three highest bits is 7 (decimal), the rest of the exponent can be treated as don’t care.

## Declaration¶

The syntax to declare a floating point number is as follows:

### IEEE-754 Number¶

Syntax |
Description |
---|---|

Floating(exponentSize: Int, mantissaSize: Int) |
IEEE-754 Floating point value with a custom exponent and mantissa size |

Floating16() |
IEEE-754 Half precision floating point number |

Floating32() |
IEEE-754 Single precision floating point number |

Floating64() |
IEEE-754 Double precision floating point number |

Floating128() |
IEEE-754 Quad precision floating point number |

### Recoded floating point number¶

Syntax |
Description |
---|---|

RecFloating(exponentSize: Int, mantissaSize: Int) |
Recoded Floating point value with a custom exponent and mantissa size |

RecFloating16() |
Recoded Half precision floating point number |

RecFloating32() |
Recoded Single precision floating point number |

RecFloating64() |
Recoded Double precision floating point number |

RecFloating128() |
Recoded Quad precision floating point number |

## Operators¶

The following operators are available for the `Floating`

and `RecFloating`

types

### Type cast¶

Operator |
Description |
Return |
---|---|---|

x.asBits |
Binary cast to Bits |
Bits(w(x) bits) |

x.asBools |
Cast into a array of Bool |
Vec(Bool,width(x)) |

x.toUInt(size: Int) |
Return the corresponding UInt (with truncation) |
UInt |

x.toSInt(size: Int) |
Return the corresponding SInt (with truncation) |
SInt |

x.fromUInt |
Return the corresponding Floating (with truncation) |
UInt |

x.fromSInt |
Return the corresponding Floating (with truncation) |
SInt |