首页> 外文会议>Reconfigurable Computing and FPGAs, 2005. ReConFig 2005. International Conference on >FPGA implementation of an efficient multiplier over finite fields GF(2/sup m/)
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FPGA implementation of an efficient multiplier over finite fields GF(2/sup m/)

机译:有限域GF(2 / sup m /)上高效乘法器的FPGA实现

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Arithmetic operations over finite fields GF(2/sup m/) are widely used in cryptography, error-correcting codes and signal processing. In particular, multiplication is especially relevant since other arithmetic operators, such as division or exponentiation, which they usually utilize multipliers as building blocks. Hardware implementation of field multiplication may provide a great speedup in procedure's performance, which easily exceeds the one observed in software platforms. In this paper we deal with an FPGA implementation of an efficient serial multiplier over the binary extension fields GF(2/sup 193/) and GF(2/sup 239/). Those extension fields are included among the ones recommended by NIST (National Institute of Standards and Technology) standards for Elliptic Curve Cryptography. Our multiplier is of type Serial/Parallel LSB-first and operates with a latency of m-clock cycles, where m is the length of the field word. We calculate the space complexity attending the number of slices used in the FPGA.
机译:有限字段GF(2 / SUP M /)的算术运算广泛用于加密,纠错码和信号处理。特别地,乘法尤其相关,因为它们通常利用乘法器作为构建块的其他算术运算符字段乘法的硬件实现可以在过程的性能中提供大量的加速,这很容易超过软件平台中观察到的。在本文中,我们处理FPGA在二进制扩展字段GF(2 / SUP 193 /)和GF(2 / SUP 239 /)上的高效串行乘数。这些扩展领域包含在椭圆曲线密码术标准的NIST(国家标准和技术研究所)标准推荐的领域。我们的乘数是串行/并行LSB-First,并以M-Clock循环的延迟运行,其中M是字段字的长度。我们计算参加FPGA中使用的片数的空间复杂性。

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