Approximate multiplier based on approximate 6-2 and 4-2 compressors and calculation method

Abstract

The invention provides an approximate multiplier based on approximate 6-2 and 4-2 compressors and a calculation method. The approximate multiplier comprises a partial product generation module, a partial product tree-shaped compression module and a carry adder module. The partial product generation module is an AND gate array, and each bit of a multiplier and a multiplicand is subjected to AND operation to obtain a corresponding partial product; the partial product tree compression module comprises an accurate compression unit, an approximate compression unit and a truncation unit; and the carry propagation adder is used for combining an output signal obtained by adding output signals of the precise compression unit and the approximate compression unit with an output signal of the truncation unit to obtain a result. According to the invention, the area cost, time delay and power consumption of the multiplier can be greatly reduced, so that the performance of the multiplier is improvedand the energy consumption is reduced.

Description

technical field [0001] The invention belongs to the technical field of integrated circuits, and specifically relates to an approximate multiplier and a calculation method based on an approximate 6-2 compressor and an approximate 4-2 compressor. Background technique [0002] In recent years, with the rapid development of big data and artificial intelligence, the computing power of computers has been continuously improved, but it also means a large increase in power consumption. Applications such as big data, artificial intelligence, and multimedia often have good fault tolerance and do not require complete accuracy. Therefore, approximate computing technology can effectively solve its high power consumption problem. Approximate computing achieves a substantial optimization of computing performance and computing energy consumption by appropriately relaxing the computing precision and meeting the expected precision requirements. This enables approximate computing to take advan...

AI Technical Summary

Problems solved by technology

The traditional precision multiplier ensures that the output result is completely correct, but consumes a lot of resources, has high delay and power consumption

An approximate multiplier can be obtained by improving the traditional accurate multiplier, but the approximation obtained by unreasonably changing the logic often has a large error

Images