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UID:submissions.supercomputing.org_SC20_sess174_pap393@linklings.com
SUMMARY:Runtime-Guided ECC Protection using Online Estimation of Memory Vu
 lnerability
DESCRIPTION:Paper\n\nRuntime-Guided ECC Protection using Online Estimation
  of Memory Vulnerability\n\nJaulmes, Moretó, Valero, Erez, Casas\n\nDimini
 shing reliability of semiconductor technologies and decreasing power budge
 ts per component hinder designing next-generation high-performance computi
 ng (HPC) systems. Both constraints strongly impact memory subsystems, as D
 RAM main memory accounts for up to 30 to 50 percent of a node’s overall po
 wer consumption, and is the subsystem that is most subject to faults. Impr
 oving reliability requires stronger error correcting codes (ECCs), which i
 ncur additional power and storage costs. It is critical to develop strateg
 ies to uphold memory reliability while minimising these costs, with the go
 al of improving the power efficiency of computing machines.\n\nWe introduc
 e a methodology to dynamically estimate the vulnerability of data, and adj
 ust ECC protection accordingly. Our methodology relies on information read
 ily available to runtime systems in task-based dataflow programming models
 , and the existing Virtualized Error Correcting Code (VECC) schemes to pro
 vide adaptable protection. Guiding VECC using vulnerability estimates is m
 ore energy efficient than using stronger uniform ECC.\n\nTag: Accelerators
 , FPGA, and GPUs, Fault Tolerance, Power, Reliability and Resiliency\n\nRe
 gistration Category: Tech Program Reg Pass
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