Ashkan Hosseinzadeh Namin

Efficient hardware implementation of the hyperbolic tangent sigmoid function

Efficient implementation of the activation function is important in the hardware design of artificial neural networks. Sigmoid, and hyperbolic tangent sigmoid functions are the most widely used activation functions for this purpose. In this paper, we present a simple and efficient architecture for digital hardware implementation of the hyperbolic tangent sigmoid function. The proposed method employs a piecewise linear approximation as a foundation, and further improves the results using a lookup table. Our design proves to be more efficient considering area × delay as a performance metric when compared to similar proposals. VLSI implementation of the proposed design using a 0.18µm CMOS process is also presented, which shows a 35% improvement over similar recently published architectures.

High Speed VLSI Implementation of the Hyperbolic Tangent Sigmoid Function

The hyperbolic tangent function is commonly used as the activation function in artificial neural networks. In this work two different hardware implementations for the hyperbolic tangent function are proposed. Both methods are based on the approximation of the function rather than calculating it, since it has exponential nature. The first method uses a lookup table to approximate the function, while the second method reduces the size of the table by using range addressable decoding as opposed to the classic decoding scheme. Hardware synthesis results show the proposed methods perform significantly faster, and use less area compared to other similar methods with the same amount of error.

Comb Architectures for Finite Field Multiplication in F(2^m)

Two high-speed bit-serial word-parallel or comb-style finite field multipliers are proposed in this paper. The first proposal utilizes a redundant representation for any binary field and the other uses a reordered normal basis for the binary field where a type-II optimal normal basis exists. The proposed redundant representation architecture has a smaller critical path delay compared to the previous methods while the complexities remain about the same. The proposed reordered normal basis multiplier has a significantly smaller critical path delay compared to the previous methods using the same basis or normal basis. Field-programmable gate array (FPGA) implementation results of the proposed multipliers are compared to those of the previous methods using the same basis, which confirms that the proposed multipliers allow a much higher clock rate.

A Word-Level Finite Field Multiplier Using Normal Basis

Hardware implementations of finite field arithmetic using normal basis are advantageous due to the fact that the squaring operation can be done at almost no cost. In this paper, a new word-level finite field multiplier using normal basis is proposed. The proposed architecture takes d clock cycles to compute the product bits, where the value for d, 1 ≤ d ≤ m, can be arbitrarily selected by the designer to set the tradeoff between area and speed. When there exists an optimal normal basis, it is shown that the proposed design has a smaller critical path delay than other word-level normal basis multipliers found in the literature, while its circuit complexities are moderate and comparable to the others. Different word size multipliers were implemented in hardware, and implementation results are also presented.

Improved Area-Time Tradeoffs for Field Multiplication Using Optimal Normal Bases

In this paper, we propose new schemes for subquadratic arithmetic complexity multiplication in binary fields using optimal normal bases. The schemes are based on a recently proposed method known as block recombination, which efficiently computes the sum of two products of Toeplitz matrices and vectors. Specifically, here we take advantage of some structural properties of the matrices and vectors involved in the formulation of field multiplication using optimal normal bases. This yields new space and time complexity results for corresponding bit parallel multipliers.

A High-Speed Word Level Finite Field Multiplier in

In this paper, a high-speed word level finite field multiplier in F2 m using redundant representation is proposed. For the class of fields that there exists a type I optimal normal basis, the new architecture has significantly higher speed compared to previously proposed architectures using either normal basis or redundant representation at the expense of moderately higher area complexity. One of the unique features of the proposed multiplier is that the critical path delay is not a function of the field size nor the word size. It is shown that the new multiplier outperforms all the other multipliers in comparison when considering the product of area and delay as a measure of performance. VLSI implementation of the proposed multiplier in a 0.18- mum complimentary metal-oxide-semiconductor (CMOS) process is also presented.

{\BBF}_{2^m}

Reordered normal basis is a certain permutation of a type II optimal normal basis. In this paper, a high speed design of a word level finite field multiplier using reordered normal basis is presented. Proposed architecture has a very regular structure which makes it suitable for VLSI implementation. Architectural complexity comparison shows that the new architecture has smaller critical path delay compared to other word level multipliers available in open literature at the cost of having moderately higher area complexity. The new architecture out performs all other similar proposals considering the product of area and delay as a measure of performance.

Using Redundant Representation

Normal basis has been widely used for the representation of binary field elements mainly due to its low-cost squaring operation. Optimal normal basis type II is a special class of normal basis exhibiting very low multiplication complexity and is considered as a safe choice for hardware implementation of cryptographic applications. In this paper, high-speed architectures for binary field multiplication using reordered normal basis are proposed, where reordered normal basis is referred to as a certain permutation of optimal normal basis type II. Complexity comparison shows that the proposed architectures are faster compared to previously presented architectures in the open literature using either an optimal normal basis type II or a reordered normal basis. One advantage of the new word-level architectures is that the critical path delay is a constant (not a function of word size). This enables the multipliers to operate at very high clock rates regardless of the field size or the number of words. Hardware implementation of some practical size multipliers for elliptic curve cryptography is also included.

A high speed word level finite field multiplier using reordered normal basis

An efficient word-level finite field multiplier using redundant representation is proposed. The proposed multiplier has a significantly higher speed, compared to previously proposed word-level architectures using either redundant representation or optimal normal basis type I, at the expense of moderately higher area complexity. Furthermore, the new design out-performs other similar proposals when considering the product of area and delay as a measure of performance. ASIC Realization of the proposed design using TSMC’s .18 um CMOS technology for the binary field size of 163 is also presented.

High-Speed Architectures for Multiplication Using Reordered Normal Basis

In the recent past, subquadratic space complexity multipliers have been proposed for binary fields defined by irreducible trinomials and some specific pentanomials. For such multipliers, alternative irreducible polynomials can also be used, in particular, nearly all one polynomials (NAOPs) seem to be better than pentanomials. For improved efficiency, multiplication modulo an NAOP is performed via modulo a quadrinomial whose degree is one more than that of the original NAOP. In this paper, we present a Toeplitz matrix-vector product based approach for multiplication modulo a quadrinomial. We obtain a fully parallel multiplier with a subquadratic space complexity. The Toeplitz matrix-vector product-based approach is also interesting in the design of sequential multipliers. We present two such multipliers that process a two-bit digit every clock cycle. Field-programmable gate-array implementations of the proposed sequential as well as fully parallel multipliers for the field size of 163 are also presented.