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  4. Fine-Grain Checkpointing with In-Cache-Line Logging
 
conference paper

Fine-Grain Checkpointing with In-Cache-Line Logging

Cohen, Nachshon  
•
Aksun, David Teksen  
•
Larus, James  
April 13, 2019
Proceedings 2019 Architectural Support for Programming Languages and Operating Systems (ASPLOS ’19)
2019 Architectural Support for Programming Languages and Operating Systems (ASPLOS ’19)

Non-Volatile Memory offers the possibility of implementing high-performance, durable data structures. However, achieving performance comparable to well-designed data structures in non-persistent (transient) memory is difficult, primarily because of the cost of ensuring the order in which memory writes reach NVM. Often, this requires flushing data to NVM and waiting a full memory round-trip time. In this paper, we introduce two new techniques: Fine- Grained Checkpointing, which ensures a consistent, quickly recoverable data structure in NVM after a system failure, and In-Cache-Line Logging, an undo-logging technique that enables recovery of earlier state without requiring cache- line flushes in the normal case. We implemented these techniques in the Masstree data structure, making it persistent and demonstrating the ease of applying them to a highly op- timized system and their low (5.9-15.4%) runtime overhead cost.

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Type
conference paper
DOI
10.1145/3297858.3304046
Author(s)
Cohen, Nachshon  
Aksun, David Teksen  
Larus, James  
Date Issued

2019-04-13

Publisher

ACM

Publisher place

New York, NY USA

Published in
Proceedings 2019 Architectural Support for Programming Languages and Operating Systems (ASPLOS ’19)
Total of pages

14

Subjects

non-volatile memory

•

NVM

•

durable data structures

•

in-cache-line logging

•

InCLL

•

fine-grain checkpointing

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
VLSC  
Event nameEvent placeEvent date
2019 Architectural Support for Programming Languages and Operating Systems (ASPLOS ’19)

Providence, RI USA

April 13-17

Available on Infoscience
February 5, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/154344
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