More efficient systolic arrays for multiplication in GF( 2 m ) using LSB first algorithm with irreducible polynomials and trinomials
Systolic arrays for multiplication in GF ( 2 m ) of Yeh et al. with LSB (least significant bit) first algorithm have the unfavorable properties such as increased area complexity and bidirectional data flows compared with the arrays of Wang and Lin with MSB (most significant bit) first algorithm. In...
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| Published in | Computers & electrical engineering Vol. 35; no. 1; pp. 159 - 167 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
2009
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0045-7906 1879-0755 |
| DOI | 10.1016/j.compeleceng.2008.09.009 |
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| Abstract | Systolic arrays for multiplication in
GF
(
2
m
)
of Yeh et al. with LSB (least significant bit) first algorithm have the unfavorable properties such as increased area complexity and bidirectional data flows compared with the arrays of Wang and Lin with MSB (most significant bit) first algorithm. In this paper, by using a polynomial basis with LSB first algorithm, we present new bit parallel and bit serial systolic arrays over
GF
(
2
m
)
. Our bit parallel systolic multiplier has unidirectional data flows with seven latches in each basic cell. Also our bit serial systolic array has only one control signal with eight latches in each basic cell. Thus our new arrays with LSB first algorithm have shorter critical path delay, comparable hardware complexity, and have the same unidirectional data flows compared with the arrays using MSB first algorithm. We also present new linear systolic arrays for multiplication in
GF
(
2
m
)
using irreducible trinomial
x
m
+
x
k
+
1
. It is shown that our linear arrays with trinomial basis have reduced hardware complexity since they require two fewer latches than the linear systolic arrays using general irreducible polynomials. |
|---|---|
| AbstractList | Systolic arrays for multiplication in GF(2m) of Yeh et al. with LSB (least significant bit) first algorithm have the unfavorable properties such as increased area complexity and bidirectional data flows compared with the arrays of Wang and Lin with MSB (most significant bit) first algorithm. In this paper, by using a polynomial basis with LSB first algorithm, we present new bit parallel and bit serial systolic arrays over GF(2m). Our bit parallel systolic multiplier has unidirectional data flows with seven latches in each basic cell. Also our bit serial systolic array has only one control signal with eight latches in each basic cell. Thus our new arrays with LSB first algorithm have shorter critical path delay, comparable hardware complexity, and have the same unidirectional data flows compared with the arrays using MSB first algorithm. We also present new linear systolic arrays for multiplication in GF(2m) using irreducible trinomial xm+xk+1. It is shown that our linear arrays with trinomial basis have reduced hardware complexity since they require two fewer latches than the linear systolic arrays using general irreducible polynomials. Systolic arrays for multiplication in GF ( 2 m ) of Yeh et al. with LSB (least significant bit) first algorithm have the unfavorable properties such as increased area complexity and bidirectional data flows compared with the arrays of Wang and Lin with MSB (most significant bit) first algorithm. In this paper, by using a polynomial basis with LSB first algorithm, we present new bit parallel and bit serial systolic arrays over GF ( 2 m ) . Our bit parallel systolic multiplier has unidirectional data flows with seven latches in each basic cell. Also our bit serial systolic array has only one control signal with eight latches in each basic cell. Thus our new arrays with LSB first algorithm have shorter critical path delay, comparable hardware complexity, and have the same unidirectional data flows compared with the arrays using MSB first algorithm. We also present new linear systolic arrays for multiplication in GF ( 2 m ) using irreducible trinomial x m + x k + 1 . It is shown that our linear arrays with trinomial basis have reduced hardware complexity since they require two fewer latches than the linear systolic arrays using general irreducible polynomials. |
| Author | Kim, Chang Hoon Hong, Chun Pyo Kwon, Soonhak |
| Author_xml | – sequence: 1 givenname: Soonhak surname: Kwon fullname: Kwon, Soonhak organization: Institute of Basic Science and Department of Mathematics, Sungkyunkwan University, Suwon 440-746, Republic of Korea – sequence: 2 givenname: Chang Hoon surname: Kim fullname: Kim, Chang Hoon email: kimch@daegu.ac.kr organization: School of Computer and Information Technology, Daegu University, Kyungsan 712-714, Republic of Korea – sequence: 3 givenname: Chun Pyo surname: Hong fullname: Hong, Chun Pyo organization: School of Computer and Communication Engineering, Daegu University, Kyungsan 712-714, Republic of Korea |
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| Keywords | Systolic array LSB first algorithm VLSI Finite field arithmetic Trinomial |
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| Snippet | Systolic arrays for multiplication in
GF
(
2
m
)
of Yeh et al. with LSB (least significant bit) first algorithm have the unfavorable properties such as... Systolic arrays for multiplication in GF(2m) of Yeh et al. with LSB (least significant bit) first algorithm have the unfavorable properties such as increased... |
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| SubjectTerms | Finite field arithmetic LSB first algorithm Systolic array Trinomial VLSI |
| Title | More efficient systolic arrays for multiplication in GF( 2 m ) using LSB first algorithm with irreducible polynomials and trinomials |
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