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  2. Type conversion - Wikipedia

    en.wikipedia.org/wiki/Type_conversion

    Conversely, precision can be lost when converting representations from integer to floating-point, since a floating-point type may be unable to exactly represent all possible values of some integer type. For example, float might be an IEEE 754 single precision type, which cannot represent the integer 16777217 exactly, while a 32-bit integer type ...

  3. Unum (number format) - Wikipedia

    en.wikipedia.org/wiki/Unum_(number_format)

    It allows software comparison between posits and floats. It currently supports Add; Subtract; Multiply; Divide; Fused-multiply-add; Fused-dot-product (with quire) Square root; Convert posit to signed and unsigned integer; Convert signed and unsigned integer to posit; Convert posit to another posit size; Less than, equal, less than equal comparison

  4. C data types - Wikipedia

    en.wikipedia.org/wiki/C_data_types

    Usually, the 32-bit and 64-bit IEEE 754 binary floating-point formats are used for float and double respectively. The C99 standard includes new real floating-point types float_t and double_t, defined in <math.h>. They correspond to the types used for the intermediate results of floating-point expressions when FLT_EVAL_METHOD is 0, 1, or 2.

  5. Primitive data type - Wikipedia

    en.wikipedia.org/wiki/Primitive_data_type

    byte, short, int, long, char (integer types with a variety of ranges) float and double, floating-point numbers with single and double precisions; boolean, a Boolean type with logical values true and false; returnAddress, a value referring to an executable memory address. This is not accessible from the Java programming language and is usually ...

  6. List of arbitrary-precision arithmetic software - Wikipedia

    en.wikipedia.org/wiki/List_of_arbitrary...

    Standard ML: The optional built-in IntInf structure implements the INTEGER signature and supports arbitrary-precision integers. Tcl: As of version 8.5 (2007), integers are arbitrary-precision by default. (Behind the scenes, the language switches to using an arbitrary-precision internal representation for integers too large to fit in a machine word.

  7. F16C - Wikipedia

    en.wikipedia.org/wiki/F16C

    The instructions are abbreviations for "vector convert packed half to packed single" and vice versa: VCVTPH2PS xmmreg,xmmrm64 – convert four half-precision floating point values in memory or the bottom half of an XMM register to four single-precision floating-point values in an XMM register.

  8. Single-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Single-precision_floating...

    A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. A signed 32-bit integer variable has a maximum value of 2 31 − 1 = 2,147,483,647, whereas an IEEE 754 32-bit base-2 floating-point variable has a maximum value of (2 − 2 −23) × 2 127 ≈ 3.4028235 ...

  9. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    Fixed-point representation uses integer hardware operations controlled by a software implementation of a specific convention about the location of the binary or decimal point, for example, 6 bits or digits from the right. The hardware to manipulate these representations is less costly than floating point, and it can be used to perform normal ...

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