NDLI: Adaptive lock-free maps: purely-functional to scalable

Content Provider	ACM Digital Library
Author	Fogg, Peter P. Varamesh, Ali Newton, Ryan R.
Abstract	Purely functional data structures stored inside a mutable variable provide an excellent concurrent data structure—obviously correct, cheap to create, and supporting snapshots. They are not, however, scalable. We provide a way to retain the benefits of these pure-in-a-box data structures while dynamically converting to a more scalable lock-free data structure under contention. Our solution scales to any pair of pure and lock-free container types with key/value set semantics, while retaining lock-freedom. We demonstrate the principle in action on two very different platforms: first in the Glasgow Haskell Compiler and second in Java. To this end we extend GHC to support lock-free data structures and introduce a new approach for safe CAS in a lazy language. .
Starting Page	218
Ending Page	229
Page Count	12
File Format	PDF
ISBN	9781450336697
DOI	10.1145/2784731.2784734
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-08-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Lock-free algorithms Concurrent data structures
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Adaptive lock-free maps: purely-functional to scalable