New byte error correcting codes with simple decoding for reliable cache design

Lake Bu, M. Karpovsky, Zhen Wang
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引用次数: 4

Abstract

Most cache designs support single or double bit-level error detection and correction in cache lines. However, a single error may distort a whole byte or even more, resulting in much higher decoding complexity than that of bit-level distortions. Thereby this paper proposes a new group testing based error correcting code (GTB code) for byte-level error locating and correcting which provides much stronger protection for memories. This new class of non-binary GTB codes is generated from binary superimposed codes. Since it is encoded and decoded by binary matrices, no complicated Galois Field computations in GF(Q) such as multiplications and inversions are involved. Comparing with popular non-binary error correcting codes (ECC) such as Hamming, Reed-Solomon and interleaved codes, the GTB codes achieves up to 42% reduction of the decoding complexity (hardware cost × latency) for single-byte error correction, and up to 98% reduction for double-byte error correction. Moreover, given the length of codewords (e.g. 512 bits for cache lines), as the size of each Q-ary digit (byte) increases, the saving increases.
新的字节纠错码与简单的解码可靠的缓存设计
大多数缓存设计在缓存线路中支持单或双比特级错误检测和纠正。然而,单个错误可能会扭曲整个字节甚至更多,导致比位级扭曲高得多的解码复杂性。为此,本文提出了一种新的基于组测试的纠错码(GTB码),用于字节级的纠错定位和纠错,为存储器提供了更强的保护。这类新的非二进制GTB码是由二进制叠加码生成的。由于它是由二进制矩阵编码和解码的,所以GF(Q)中不涉及复杂的伽罗瓦场计算,如乘法和反转。与流行的非二进制纠错码(ECC)如汉明码、里德-所罗门码和交错码相比,GTB码在单字节纠错方面的译码复杂度(硬件成本×延迟)降低了42%,在双字节纠错方面的译码复杂度降低了98%。此外,给定码字的长度(例如,缓存线为512位),随着每个q位数字(字节)的大小增加,节省也会增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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