Floating-point multiplier and floating-point multiplication for neural network processor
A floating-point multiplier and multiplication technology, applied in the field of neural network processors, can solve problems such as inability to meet, reduce acceleration efficiency, hinder the application of neural network processors, etc., and achieve the effect of high performance and improved work accuracy
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[0035] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail through specific embodiments with reference to the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
[0036] figure 1 It is a schematic structural diagram of a floating-point multiplier according to an embodiment of the present invention. The floating-point multiplier includes a sign bit operation unit, an order code operation unit, a mantissa operation unit and a normalization unit. Such as figure 1 As shown, the floating-point multiplier receives two operands A and B to be multiplied, and outputs their product (can be denoted as C). The operands A and B and their products are all floating-point numbers, and each floating-point number in the machine is stored and expressed in the...
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