Title :
Low-Latency Digit-Serial Systolic Double Basis Multiplier over
Using Subquadratic Toeplitz Matrix-Vector Product Approach
Author :
Jeng-Shyang Pan ; Azarderakhsh, Reza ; Kermani, Mehran Mozaffari ; Chiou-Yng Lee ; Wen-Yo Lee ; Che Wun Chiou ; Jim-Min Lin
Author_Institution :
Innovative Inf. Ind. Res. Center (IIIRC), Harbin Inst. of Technol., Shenzhen, China
Abstract :
Recently in cryptography and security, the multipliers with subquadratic space complexity for trinomials and some specific pentanomials have been proposed. For such kind of multipliers, alternatively, we use double basis multiplication which combines the polynomial basis and the modified polynomial basis to develop a new efficient digit-serial systolic multiplier. The proposed multiplier depends on trinomials and almost equally space pentanomials (AESPs), and utilizes the subquadratic Toeplitz matrix-vector product scheme to derive a low-latency digit-serial systolic architecture. If the selected digit-size is d bits, the proposed digit-serial multiplier for both polynomials, i.e., trinomials and AESPs, requires the latency of 2⌈√{m/d⌉, while traditional ones take at least O(⌈m/d⌉) clock cycles. Analytical and application-specific integrated circuit (ASIC) synthesis results indicate that both the area and the time × area complexities of our proposed architecture are significantly lower than the existing digit-serial systolic multipliers.
Keywords :
logic design; matrix multiplication; multiplying circuits; systolic arrays; AESP; ASIC synthesis; almost equally space pentanomial; application-specific integrated circuit; digit-serial systolic double basis multiplier over GF(2m); low-latency digit-serial systolic architecture; polynomial basis; subquadratic Toeplitz matrix-vector product approach; subquadratic space complexity; trinomials; Clocks; Complexity theory; Computer architecture; Educational institutions; Electronic mail; Polynomials; Vectors; Subquadratic Toeplitz matrix-vector product; digit-serial systolic multiplier; double basis; elliptic curve cryptography;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.2012.239