---
_id: '2181'
abstract:
- lang: eng
text: 'There is a trade-off between performance and correctness in implementing
concurrent data structures. Better performance may be achieved at the expense
of relaxing correctness, by redefining the semantics of data structures. We address
such a redefinition of data structure semantics and present a systematic and formal
framework for obtaining new data structures by quantitatively relaxing existing
ones. We view a data structure as a sequential specification S containing all
"legal" sequences over an alphabet of method calls. Relaxing the data
structure corresponds to defining a distance from any sequence over the alphabet
to the sequential specification: the k-relaxed sequential specification contains
all sequences over the alphabet within distance k from the original specification.
In contrast to other existing work, our relaxations are semantic (distance in
terms of data structure states). As an instantiation of our framework, we present
two simple yet generic relaxation schemes, called out-of-order and stuttering
relaxation, along with several ways of computing distances. We show that the out-of-order
relaxation, when further instantiated to stacks, queues, and priority queues,
amounts to tolerating bounded out-of-order behavior, which cannot be captured
by a purely syntactic relaxation (distance in terms of sequence manipulation,
e.g. edit distance). We give concurrent implementations of relaxed data structures
and demonstrate that bounded relaxations provide the means for trading correctness
for performance in a controlled way. The relaxations are monotonic which further
highlights the trade-off: increasing k increases the number of permitted sequences,
which as we demonstrate can lead to better performance. Finally, since a relaxed
stack or queue also implements a pool, we actually have new concurrent pool implementations
that outperform the state-of-the-art ones.'
acknowledgement: ' and an Elise Richter Fellowship (Austrian Science Fund V00125). '
author:
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Christoph
full_name: Kirsch, Christoph
last_name: Kirsch
- first_name: Hannes
full_name: Payer, Hannes
last_name: Payer
- first_name: Ali
full_name: Sezgin, Ali
id: 4C7638DA-F248-11E8-B48F-1D18A9856A87
last_name: Sezgin
- first_name: Ana
full_name: Sokolova, Ana
last_name: Sokolova
citation:
ama: 'Henzinger TA, Kirsch C, Payer H, Sezgin A, Sokolova A. Quantitative relaxation
of concurrent data structures. In: Proceedings of the 40th Annual ACM SIGPLAN-SIGACT
Symposium on Principles of Programming Language. ACM; 2013:317-328. doi:10.1145/2429069.2429109'
apa: 'Henzinger, T. A., Kirsch, C., Payer, H., Sezgin, A., & Sokolova, A. (2013).
Quantitative relaxation of concurrent data structures. In Proceedings of the
40th annual ACM SIGPLAN-SIGACT symposium on Principles of programming language
(pp. 317–328). Rome, Italy: ACM. https://doi.org/10.1145/2429069.2429109'
chicago: Henzinger, Thomas A, Christoph Kirsch, Hannes Payer, Ali Sezgin, and Ana
Sokolova. “Quantitative Relaxation of Concurrent Data Structures.” In Proceedings
of the 40th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Language,
317–28. ACM, 2013. https://doi.org/10.1145/2429069.2429109.
ieee: T. A. Henzinger, C. Kirsch, H. Payer, A. Sezgin, and A. Sokolova, “Quantitative
relaxation of concurrent data structures,” in Proceedings of the 40th annual
ACM SIGPLAN-SIGACT symposium on Principles of programming language, Rome,
Italy, 2013, pp. 317–328.
ista: 'Henzinger TA, Kirsch C, Payer H, Sezgin A, Sokolova A. 2013. Quantitative
relaxation of concurrent data structures. Proceedings of the 40th annual ACM SIGPLAN-SIGACT
symposium on Principles of programming language. POPL: Principles of Programming
Languages, 317–328.'
mla: Henzinger, Thomas A., et al. “Quantitative Relaxation of Concurrent Data Structures.”
Proceedings of the 40th Annual ACM SIGPLAN-SIGACT Symposium on Principles of
Programming Language, ACM, 2013, pp. 317–28, doi:10.1145/2429069.2429109.
short: T.A. Henzinger, C. Kirsch, H. Payer, A. Sezgin, A. Sokolova, in:, Proceedings
of the 40th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Language,
ACM, 2013, pp. 317–328.
conference:
end_date: 2013-01-25
location: Rome, Italy
name: 'POPL: Principles of Programming Languages'
start_date: 2013-01-23
date_created: 2018-12-11T11:56:11Z
date_published: 2013-01-01T00:00:00Z
date_updated: 2023-02-21T16:06:49Z
day: '01'
ddc:
- '000'
- '004'
department:
- _id: ToHe
doi: 10.1145/2429069.2429109
ec_funded: 1
file:
- access_level: open_access
checksum: adf465e70948f4e80e48057524516456
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:33Z
date_updated: 2020-07-14T12:45:31Z
file_id: '5086'
file_name: IST-2014-198-v1+1_popl128-henzinger-clean.pdf
file_size: 294689
relation: main_file
file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Submitted Version
page: 317 - 328
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25F5A88A-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Moderne Concurrency Paradigms
publication: Proceedings of the 40th annual ACM SIGPLAN-SIGACT symposium on Principles
of programming language
publication_identifier:
isbn:
- 978-1-4503-1832-7
publication_status: published
publisher: ACM
publist_id: '4801'
pubrep_id: '198'
quality_controlled: '1'
related_material:
record:
- id: '10901'
relation: later_version
status: deleted
scopus_import: 1
status: public
title: Quantitative relaxation of concurrent data structures
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2013'
...