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  2. Loop fission and fusion - Wikipedia

    en.wikipedia.org/wiki/Loop_fission_and_fusion

    However, the above example unnecessarily allocates a temporary array for the result of sin(x). A more efficient implementation would allocate a single array for y, and compute y in a single loop. To optimize this, a C++ compiler would need to: Inline the sin and operator+ function calls. Fuse the loops into a single loop.

  3. Type system - Wikipedia

    en.wikipedia.org/wiki/Type_system

    In many C compilers the float data type, for example, is represented in 32 bits, in accord with the IEEE specification for single-precision floating point numbers. They will thus use floating-point-specific microprocessor operations on those values (floating-point addition, multiplication, etc.).

  4. Type conversion - Wikipedia

    en.wikipedia.org/wiki/Type_conversion

    C and C++ perform such promotion for objects of Boolean, character, wide character, enumeration, and short integer types which are promoted to int, and for objects of type float, which are promoted to double. Unlike some other type conversions, promotions never lose precision or modify the value stored in the object. In Java:

  5. C data types - Wikipedia

    en.wikipedia.org/wiki/C_data_types

    The C language provides the four basic arithmetic type specifiers char, int, float and double (as well as the boolean type bool), and the modifiers signed, unsigned, short, and long. The following table lists the permissible combinations in specifying a large set of storage size-specific declarations.

  6. bfloat16 floating-point format - Wikipedia

    en.wikipedia.org/wiki/Bfloat16_floating-point_format

    Note that there are other possible scenarios of format conversions to or from bfloat16. For example, int16 and bfloat16. From binary32 to bfloat16. When bfloat16 was first introduced as a storage format, [15] the conversion from IEEE 754 binary32 (32-bit floating point) to bfloat16 is truncation (round toward 0). Later on, when it becomes the ...

  7. Quadruple-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Quadruple-precision...

    For example, gcc provides a quadruple-precision type called __float128 for x86, x86-64 and Itanium CPUs, [22] and on PowerPC as IEEE 128-bit floating-point using the -mfloat128-hardware or -mfloat128 options; [23] and some versions of Intel's C/C++ compiler for x86 and x86-64 supply a nonstandard quadruple-precision type called _Quad. [24]

  8. Loop unrolling - Wikipedia

    en.wikipedia.org/wiki/Loop_unrolling

    The following example demonstrates dynamic loop unrolling for a simple program written in C. Unlike the assembler example above, pointer/index arithmetic is still generated by the compiler in this example because a variable (i) is still used to address the array element.

  9. long double - Wikipedia

    en.wikipedia.org/wiki/Long_double

    Compilers may also use long double for the IEEE 754 quadruple-precision binary floating-point format (binary128). This is the case on HP-UX , [ 4 ] Solaris / SPARC , [ 5 ] MIPS with the 64-bit or n32 ABI , [ 6 ] 64-bit ARM (AArch64) [ 7 ] (on operating systems using the standard AAPCS calling conventions, such as Linux), and z/OS with FLOAT ...