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A Speed Learning Scheme To Mitigate The Silent Data Corruption in a Multi-Core Design
會議論文集

A Speed Learning Scheme To Mitigate The Silent Data Corruption in a Multi-Core Design

Yun-Chieh Wang, Chun-Teng Chao, Shi-Yu Huang 和 Chi-Kang Chen
International Test Conference in Asia (Online), 頁碼.90-95
16/12/2025
Web of Science ID: WOS:001733914300016

摘要

Asia Computer architecture Fault tolerant systems fault-tolerant Field programmable gate arrays Gears Hardware multi-core system Multicore processing Prevention and mitigation reconfigurable Redundancy silent data corruption mitigation speed margin learning Standards
In this work, we propose a speed margining scheme to mitigate silent data corruption in a multi-core system. At the hardware level, we incorporate an enhanced architecture based on dual module redundancy (Enhanced DMR), in which each computing core has two gears: standard performance gear (Standard Gear) and shadow performance gear (Shadow Gear). Such an arrangement allows us to establish a safe performance margin with an SDC-alerting capability. At the system level, we demonstrate the benefits of this method on the ZYNQ™-7010 FPGA platform. We used seven sets of representative learning programs to emulate various workload conditions. Experimental results show that our system can mitigate the SDC risk by establishing a safe performance margin.

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