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Persistent Collections for Java (PCJ)

Authors: Dohrmann, Stephen; Parasa, Srinivas Vamsi; Olasoji, Denloye; Fan, Lei;

Persistent Collections for Java (PCJ)

Abstract

Persistent Collections for Java (https://github.com/pmem/pcj) OVERVIEW This is a "pilot" project to develop a library for Java objects stored in persistent memory. Persistent collections are being emphasized because many applications for persistent memory seem to map well to the use of collections. One of this project's goals is to make programming with persistent objects feel natural to a Java developer, for example, by using familiar Java constructs when incorporating persistence elements such as data consistency and object lifetime. The breadth of persistent types is currently limited and the code is not performance-optimized. We are making the code available because we believe it can be useful in experiments to retrofit existing Java code to use persistent memory and to explore persistent Java programming in general. This library provides Java classes whose instances can persist (i.e. remain reachable) beyond the life of a Java VM instance. Persistent classes include: Primitive arrays Generic arrays Tuples ArrayList HashMap LinkedList LinkedQueue SkipListMap FPTree SIHashMap ObjectDirectory Boxed primitives String AtomicReference ByteBuffer This Java library uses the libpmemobj library from the Persistent Memory Development Kit (PMDK). For more information on PMDK, please visit http://pmem.io and https://github.com/pmem/pmdk. For a brief introduction on use of the library, please see Introduction.txt.

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Keywords

Persistent Collections, Persistent Memory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average