A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Self-Adaptive System for Addressing Permanent Errors in On-Chip Interconnects
Tekijät: Lehtonen T, Wolpert D, Liljeberg P, Plosila J, Ampadu P
Kustantaja: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Julkaisuvuosi: 2010
Journal: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Tietokannassa oleva lehden nimi: IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
Lehden akronyymi: IEEE T VLSI SYST
Numero sarjassa: 4
Vuosikerta: 18
Numero: 4
Aloitussivu: 527
Lopetussivu: 540
Sivujen määrä: 14
ISSN: 1063-8210
DOI: https://doi.org/10.1109/TVLSI.2009.2013711
Tiivistelmä
We present a self-contained adaptive system for detecting and bypassing permanent errors in on-chip interconnects. The proposed system reroutes data on erroneous links to a set of spare wires without interrupting the data flow. To detect permanent errors at runtime, a novel in-line test (ILT) method using spare wires and a test pattern generator is proposed. In addition, an improved syndrome storing-based detection (SSD) method is presented and compared to the ILT method. Each detection method (ILT and SSD) is integrated individually into the noninterrupting adaptive system, and a case study is performed to compare them with Hamming and Bose-Chaudhuri-Hocquenghem (BCH) code implementations. In the presence of permanent errors, the probability of correct transmission in the proposed systems is improved by up to 140% over the standalone Hamming code. Furthermore, our methods achieve up to 38% area, 64% energy, and 61% latency improvements over the BCH implementation at comparable error performance.
We present a self-contained adaptive system for detecting and bypassing permanent errors in on-chip interconnects. The proposed system reroutes data on erroneous links to a set of spare wires without interrupting the data flow. To detect permanent errors at runtime, a novel in-line test (ILT) method using spare wires and a test pattern generator is proposed. In addition, an improved syndrome storing-based detection (SSD) method is presented and compared to the ILT method. Each detection method (ILT and SSD) is integrated individually into the noninterrupting adaptive system, and a case study is performed to compare them with Hamming and Bose-Chaudhuri-Hocquenghem (BCH) code implementations. In the presence of permanent errors, the probability of correct transmission in the proposed systems is improved by up to 140% over the standalone Hamming code. Furthermore, our methods achieve up to 38% area, 64% energy, and 61% latency improvements over the BCH implementation at comparable error performance.
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