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Correction of Adjacent Errors with Low Redundant Matrix Error Correction Codes

机译:使用低冗余矩阵纠错码纠正相邻错误

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The continuous growth of the integration scale in CMOS circuits has derived in an increase in the memory systems capacity, but also in their fault rate. In this way, the probabilities of suffering Single Cell Upsets (SCUs) or Multiple Cell Upsets (MCUs) has thus raised. Traditionally, Error Correction Codes (ECCs) are used in memory systems to correct errors. However, when using ECCs, it is necessary to find a good balance between the redundancy of the code; the area, power consumption and delay overheads of the encoding and decoding circuits; and the error coverage achieved. In this work, we present two new low-redundant matrix ECCs that are able to correct different types of adjacent errors. Both codes have the same error coverage, but different levels of redundancy. In this way, we have been able to study the influence of these different levels of low redundancy in the area, power consumption and delay overheads. We have also compared our proposals to a well-known matrix code, in terms of overhead vs. coverage using a recently introduced metric. In all cases, our proposals get better scores.
机译:CMOS电路中集成规模的不断增长,不仅增加了存储系统的容量,而且还提高了它们的故障率。以这种方式,因此提高了遭受单细胞烦恼(SCU)或多细胞烦恼(MCU)的可能性。传统上,在存储系统中使用纠错码(ECC)来纠正错误。但是,在使用ECC时,有必要在代码的冗余之间找到一个很好的平衡。编码和解码电路的面积,功耗和延迟开销;并实现了错误覆盖。在这项工作中,我们提出了两个新的低冗余矩阵ECC,它们能够纠正不同类型的相邻错误。两种代码具有相同的错误覆盖率,但是冗余级别不同。这样,我们已经能够研究这些不同级别的低冗余度对区域,功耗和延迟开销的影响。我们还使用最近引入的度量将我们的建议与众所周知的矩阵代码进行了比较,涉及开销与覆盖率方面。在所有情况下,我们的建议都会获得更高的分数。

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