2 Search Results for "Du, Mingzhe"


Document
Fast Nonblocking Persistence for Concurrent Data Structures

Authors: Wentao Cai, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, and Michael L. Scott

Published in: LIPIcs, Volume 209, 35th International Symposium on Distributed Computing (DISC 2021)


Abstract
We present a fully lock-free variant of our recent Montage system for persistent data structures. The variant, nbMontage, adds persistence to almost any nonblocking concurrent structure without introducing significant overhead or blocking of any kind. Like its predecessor, nbMontage is buffered durably linearizable: it guarantees that the state recovered in the wake of a crash will represent a consistent prefix of pre-crash execution. Unlike its predecessor, nbMontage ensures wait-free progress of the persistence frontier, thereby bounding the number of recent updates that may be lost on a crash, and allowing a thread to force an update of the frontier (i.e., to perform a sync operation) without the risk of blocking. As an extra benefit, the helping mechanism employed by our wait-free sync significantly reduces its latency. Performance results for nonblocking queues, skip lists, trees, and hash tables rival custom data structures in the literature - dramatically faster than achieved with prior general-purpose systems, and generally within 50% of equivalent non-persistent structures placed in DRAM.

Cite as

Wentao Cai, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, and Michael L. Scott. Fast Nonblocking Persistence for Concurrent Data Structures. In 35th International Symposium on Distributed Computing (DISC 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 209, pp. 14:1-14:20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2021)


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@InProceedings{cai_et_al:LIPIcs.DISC.2021.14,
  author =	{Cai, Wentao and Wen, Haosen and Maksimovski, Vladimir and Du, Mingzhe and Sanna, Rafaello and Abdallah, Shreif and Scott, Michael L.},
  title =	{{Fast Nonblocking Persistence for Concurrent Data Structures}},
  booktitle =	{35th International Symposium on Distributed Computing (DISC 2021)},
  pages =	{14:1--14:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-210-5},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{209},
  editor =	{Gilbert, Seth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2021.14},
  URN =		{urn:nbn:de:0030-drops-148169},
  doi =		{10.4230/LIPIcs.DISC.2021.14},
  annote =	{Keywords: Persistent Memory, Nonblocking Progress, Buffered Durable Linearizability}
}
Document
Brief Announcement
Brief Announcement: Building Fast Recoverable Persistent Data Structures with Montage

Authors: Haosen Wen, Wentao Cai, Mingzhe Du, Benjamin Valpey, and Michael L. Scott

Published in: LIPIcs, Volume 179, 34th International Symposium on Distributed Computing (DISC 2020)


Abstract
The recent emergence of fast, dense, nonvolatile main memory suggests that certain long-lived data structures might remain in their natural, pointer-rich format across program runs and hardware reboots. Operations on such structures must be instrumented with explicit write-back and fence instructions to ensure consistency in the wake of a crash. Techniques to minimize the cost of this instrumentation are an active topic of current research. We present what we believe to be the first general-purpose approach to building buffered durably linearizable persistent data structures, and a system, Montage, to support that approach. Montage is built on top of the Ralloc nonblocking persistent allocator. It employs a slow-ticking epoch clock, and ensures that no operation appears to span an epoch boundary. If a crash occurs in epoch e, all work performed in epochs e and e-1 is lost, but all work from prior epochs is preserved. We describe the implementation of Montage, argue its correctness, and report on experiments confirming excellent performance for operations on queues, sets/mappings, and general graphs.

Cite as

Haosen Wen, Wentao Cai, Mingzhe Du, Benjamin Valpey, and Michael L. Scott. Brief Announcement: Building Fast Recoverable Persistent Data Structures with Montage. In 34th International Symposium on Distributed Computing (DISC 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 179, pp. 52:1-52:3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


Copy BibTex To Clipboard

@InProceedings{wen_et_al:LIPIcs.DISC.2020.52,
  author =	{Wen, Haosen and Cai, Wentao and Du, Mingzhe and Valpey, Benjamin and Scott, Michael L.},
  title =	{{Brief Announcement: Building Fast Recoverable Persistent Data Structures with Montage}},
  booktitle =	{34th International Symposium on Distributed Computing (DISC 2020)},
  pages =	{52:1--52:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-168-9},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{179},
  editor =	{Attiya, Hagit},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2020.52},
  URN =		{urn:nbn:de:0030-drops-131304},
  doi =		{10.4230/LIPIcs.DISC.2020.52},
  annote =	{Keywords: Durable linearizability, consistency, persistence, fault tolerance}
}
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