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  2. 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.

  3. Binary multiplier - Wikipedia

    en.wikipedia.org/wiki/Binary_multiplier

    In a fast multiplier, the partial-product reduction process usually contributes the most to the delay, power, and area of the multiplier. [7] 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 ...

  4. Wallace tree - Wikipedia

    en.wikipedia.org/wiki/Wallace_tree

    A Wallace multiplier is a hardware implementation of a binary multiplier, a digital circuit that multiplies two integers. It uses a selection of full and half adders (the Wallace tree or Wallace reduction ) to sum partial products in stages until two numbers are left.

  5. Ordered dithering - Wikipedia

    en.wikipedia.org/wiki/Ordered_dithering

    The first threshold maps were designed by hand to minimise the perceptual difference between a grayscale image and its two-bit quantisation for up to a 4x4 matrix. [ 1 ] An optimal threshold matrix is one that for any possible quantisation of color has the minimum possible texture so that the greatest impression of the underlying feature comes ...

  6. Carry-save adder - Wikipedia

    en.wikipedia.org/wiki/Carry-save_adder

    A carry-save adder [1] [2] [nb 1] is a type of digital adder, used to efficiently compute the sum of three or more binary numbers. It differs from other digital adders in that it outputs two (or more) numbers, and the answer of the original summation can be achieved by adding these outputs together.

  7. Half-precision floating-point format - Wikipedia

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

    The advantage over 8-bit or 16-bit integers is that the increased dynamic range allows for more detail to be preserved in highlights and shadows for images, and avoids gamma correction. The advantage over 32-bit single-precision floating point is that it requires half the storage and bandwidth (at the expense of precision and range). [5]

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