1996
DOI: 10.1006/jpdc.1996.0003
|View full text |Cite
|
Sign up to set email alerts
|

Scalable Concurrent B-Trees Using Multi-Version Memory

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2011
2011
2012
2012

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 49 publications
0
1
0
Order By: Relevance
“…When the writer has finished its update(s), it publishes the new version such that subsequent readers will operate on the new version. Wang and Weihl describe a software caching algorithm used in an implementation of concurrent B-trees that allows multiple versions of memory such that local stale versions of the B-tree can be read without incurring a cache miss, saving the latency of fetching the new version [30]. Their implementation improves performance over 300% for a highly contended B-tree microbenchmark.…”
Section: Software Systemsmentioning
confidence: 99%
“…When the writer has finished its update(s), it publishes the new version such that subsequent readers will operate on the new version. Wang and Weihl describe a software caching algorithm used in an implementation of concurrent B-trees that allows multiple versions of memory such that local stale versions of the B-tree can be read without incurring a cache miss, saving the latency of fetching the new version [30]. Their implementation improves performance over 300% for a highly contended B-tree microbenchmark.…”
Section: Software Systemsmentioning
confidence: 99%