Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 19.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 19.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 19.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 19.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that Half-precision floating-point numbers are also supported (Float16), but they are implemented in software and use Float32 for calculations. julia> sizeof(Float16(4.)) 2 julia> 2*Float16(4.) Float16(8

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that Half-precision floating-point numbers are also supported (Float16), but they are implemented in software and use Float32 for calculations. julia> sizeof(Float16(4.)) 2 julia> 2*Float16(4.) Float16(8

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.2 Construction and Initialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 20.3 Array literals allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved