Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A method for obtaining high-precision approximations of high-order arithmetic operations is presented. These approximations provide an accurate starting approximation for high-precision iterative algorithms, which translates into few iterations and a short overall latency. The method uses a partial product array to describe an approximation and sums the array on an existing multiplier. By reusing a multiplier the amount of dedicated hardware is made very small. For the square-root operation, a 16-bit approximation costs less than 1000 dedicated logic gates to implement and has the latency of approximately one multiplication. This is 1/500 the size of an equivalent look-up table method and over twice as many bits of accuracy as an equivalent polynomial method. Thus, a high-precision approximation of the square root operation and many other high-order arithmetic operations is possible at low cost. >
['Eric M. Schwarz', 'Michael J. Flynn']
I am writing a research paper on a idea Hardware starting approximation for the square root operation
[{"from": "human", "value": "I am writing a research paper on a idea Hardware starting approximation for the square root operation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A method for obtaining high-precision approximations of high-order arithmetic operations is presented. These approximations provide an accurate starting approximation for high-precision iterative algorithms, which translates into few iterations and a short overall latency. The method uses a partial product array to describe an approximation and sums the array on an existing multiplier. By reusing a multiplier the amount of dedicated hardware is made very small. For the square-root operation, a 16-bit approximation costs less than 1000 dedicated logic gates to implement and has the latency of approximately one multiplication. This is 1/500 the size of an equivalent look-up table method and over twice as many bits of accuracy as an equivalent polynomial method. Thus, a high-precision approximation of the square root operation and many other high-order arithmetic operations is possible at low cost. >"}]