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  2. Wallace tree - Wikipedia

    en.wikipedia.org/wiki/Wallace_tree

    If there are two wires of the same weight left, input them into a half adder. If there is just one wire left, connect it to the next layer. In the third and final step, the two resulting numbers are fed to an adder, obtaining the final product.

  3. Adder (electronics) - Wikipedia

    en.wikipedia.org/wiki/Adder_(electronics)

    With the addition of an OR gate to combine their carry outputs, two half adders can be combined to make a full adder. [2] The half adder adds two input bits and generates a carry and sum, which are the two outputs of a half adder. The input variables of a half adder are called the augend and addend bits. The output variables are the sum and carry.

  4. Dadda multiplier - Wikipedia

    en.wikipedia.org/wiki/Dadda_multiplier

    The Dadda multiplier is a hardware binary multiplier design invented by computer scientist Luigi Dadda in 1965. [1] It uses a selection of full and half adders to sum the partial products in stages (the Dadda tree or Dadda reduction) until two numbers are left.

  5. XOR gate - Wikipedia

    en.wikipedia.org/wiki/XOR_gate

    For example, if we add 1 plus 1 in binary, we expect a two-bit answer, 10 (i.e. 2 in decimal). Since the trailing sum bit in this output is achieved with XOR, the preceding carry bit is calculated with an AND gate. This is the main principle in Half Adders. A slightly larger Full Adder circuit may be chained together in order to add longer ...

  6. Kogge–Stone adder - Wikipedia

    en.wikipedia.org/wiki/Kogge–Stone_adder

    An example of a 4-bit Kogge–Stone adder is shown in the diagram. Each vertical stage produces a "propagate" and a "generate" bit, as shown. The culminating generate bits (the carries) are produced in the last stage (vertically), and these bits are XOR'd with the initial propagate after the input (the red boxes) to produce the sum bits. E.g., the first (least-significant) sum bit is ...

  7. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    For example, the following algorithm is a direct implementation to compute the function A(x) = (x−1) / (exp(x−1) − 1) which is well-conditioned at 1.0, [nb 12] however it can be shown to be numerically unstable and lose up to half the significant digits carried by the arithmetic when computed near 1.0.

  8. Adder–subtractor - Wikipedia

    en.wikipedia.org/wiki/Adder–subtractor

    A (with A i set to invert; B i set to zero; and D = 0) −A (with A i set to invert; B i set to zero; and D = 1) B (with B i set to invert; A i set to zero; and D = 0) −B (with B i set to invert; A i set to zero; and D = 1) By adding more logic in front of the adder, a single adder can be converted into much more than just an adder—an ALU.

  9. Binary multiplier - Wikipedia

    en.wikipedia.org/wiki/Binary_multiplier

    For speed, the "reduce partial product" stages are typically implemented as a carry-save adder composed of compressors and the "compute final product" step is implemented as a fast adder (something faster than ripple-carry). Many fast multipliers use full adders as compressors ("3:2 compressors") implemented in static CMOS.