Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Representing the field elements with respect to the polynomial (or standard) basis,  consider bit parallel architectures for multiplication over the finite field GF(2m). In this effect, first  derive a new formulation for polynomial basis multiplication in terms of the reduction matrix Q. The main advantage of this new formulation is that it can be used with any field defining irreducible polynomial. Using this formulation,  then develop a generalized architecture for the multiplier and analyze the time and gate complexities of the proposed multiplier as a function of degree m and the reduction matrix Q. To the best of our knowledge, this is the first time that these complexities are given in terms of Q. Unlike most other articles on bit parallel finite field multipliers, here  also consider the number of signals to be routed in hardware implementation and  show that, compared to the ll-known Mastrovito's multiplier, the proposed architecture has fer routed signals. The proposed generalized architecture is further optimized for three special types of polynomials, namely, equally spaced polynomials, trinomials, and pentanomials.  have obtained explicit formulas and complexities of the multipliers for these three special irreducible polynomials. This makes it very easy for a designer to implement the proposed multipliers using hardware description languages like VHDL and Verilog with minimum knowledge of finite field arithmetic.
['Arash Reyhani-Masoleh', 'Masud Hasan']
I am writing a research paper on a idea Low complexity bit parallel architectures for polynomial basis multiplication over GF(2m)
[{"from": "human", "value": "I am writing a research paper on a idea Low complexity bit parallel architectures for polynomial basis multiplication over GF(2m)"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Representing the field elements with respect to the polynomial (or standard) basis,  consider bit parallel architectures for multiplication over the finite field GF(2m). In this effect, first  derive a new formulation for polynomial basis multiplication in terms of the reduction matrix Q. The main advantage of this new formulation is that it can be used with any field defining irreducible polynomial. Using this formulation,  then develop a generalized architecture for the multiplier and analyze the time and gate complexities of the proposed multiplier as a function of degree m and the reduction matrix Q. To the best of our knowledge, this is the first time that these complexities are given in terms of Q. Unlike most other articles on bit parallel finite field multipliers, here  also consider the number of signals to be routed in hardware implementation and  show that, compared to the ll-known Mastrovito's multiplier, the proposed architecture has fer routed signals. The proposed generalized architecture is further optimized for three special types of polynomials, namely, equally spaced polynomials, trinomials, and pentanomials.  have obtained explicit formulas and complexities of the multipliers for these three special irreducible polynomials. This makes it very easy for a designer to implement the proposed multipliers using hardware description languages like VHDL and Verilog with minimum knowledge of finite field arithmetic."}]