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TENET: Memory Safe and Fault Tolerant Persistent Transactional Memory

Madhava Krishnan Ramanathan, Diyu Zhou, Wook-Hee Kim, Sudarsun Kannan, Sanidhya Kashyap, Changwoo Min

出版方
2023年份
12被引次数

摘要

Byte-addressable non-volatile memory (NVM) allows programs to directly access storage using memory interface without going through the expensive conventional storage stack. However, direct access to NVM makes the NVM data vulnerable to software bugs and hardware errors. This issue is critical because, unlike DRAM, corrupted data can persist forever, even after the system restart. Albeit the plethora of research on NVM programs and systems, there is little focus on protecting NVM data from software bugs and hardware errors.

In this paper, we propose TENET, a new NVM programming framework, which guarantees memory safety and fault tolerance to protect NVM data against software bugs and hardware errors. TENET provides the popular persistent transactional memory (PTM) programming model. TENET leverages the concurrency guarantees (i.e., ACID properties) of PTM to provide performant and cost-efficient memory safety and fault tolerance. Our evaluations show that TENET offers an enhanced protection scope at a modest performance overhead and storage cost as compared to other PTMs with partial or no memory safety and fault tolerance support.

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