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Low-Latency Digit-Serial and Digit-Parallel Systolic Multipliers for Large Binary Extension Fields

机译:大二进制扩展字段的低延迟数字串行和数字并行脉动乘法器

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For cryptographic algorithms, such as elliptic curve digital signature algorithm (ECDSA) and pairing algorithm, the crypto-processors are required to perform large number of additions and multiplications over finite fields of large orders. To have a balanced trade-off between space complexity and time complexity, in this paper, novel digit-serial and digit-parallel systolic structures are presented for computing multiplication over $GF(2^{m})$. Based on novel decomposition algorithm, we have derived an efficient digit-serial systolic architecture, which involves latency of $O(sqrt{m/d})$ clock cycles, while the existing digit-serial systolic multipliers involve at least $O(m/d)$ latency for digit-size $d$. The proposed digit-serial design could be used for AESP-based fields with the same digit-size as the case of trinomial-based fields with a small increase in area. We have also proposed digit-parallel systolic architecture employing $n$-term Karatsuba-like method, where the latency can be reduced from $O(sqrt{m/d})$ to $O(sqrt{md})$ . This feature would be a major advantage for implementing multiplication for the fields of large orders. From synthesis results, it is shown that the proposed architectures have significantly lower time complexity, lower area-delay product, and higher bit-throughput than the existing digit-serial multipliers.
机译:对于诸如椭圆曲线数字签名算法(ECDSA)和配对算法之类的密码算法,要求密码处理器在大阶有限域上执行大量加法和乘法运算。为了在空间复杂度和时间复杂度之间取得平衡,本文提出了新颖的数字串行和数字并行脉动结构,用于计算$ GF(2 ^ {m})$上的乘法。基于新颖的分解算法,我们推导了一种有效的数字串行脉动体系结构,该体系结构涉及到$ O(sqrt {m / d})$个时钟周期的延迟,而现有的数字串行脉动乘法器至少涉及$ O(m / d)$位数字$ d $的延迟。所建议的数字串行设计可用于具有与面积较小的基于三项式的字段相同的数字大小的基于AESP的字段。我们还提出了采用$ n $项类似于Karatsuba的方法的数并行脉动体系结构,其中延迟可以从$ O(sqrt {m / d})$减少到$ O(sqrt {m / nd})$ 。此功能将是对大订单领域实施乘法的主要优势。从综合结果可以看出,与现有的数字串行乘法器相比,所提出的架构具有更低的时间复杂度,更低的面积延迟乘积和更高的比特吞吐量。

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