TY - GEN
T1 - A complexity-based hierarchy for multiprocessor synchronization
T2 - 35th ACM Symposium on Principles of Distributed Computing, PODC 2016
AU - Ellen, Faith
AU - Gelashvili, Rati
AU - Shavit, Nir
AU - Zhu, Leqi
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/7/25
Y1 - 2016/7/25
N2 - For many years, Herlihy's elegant computability based Con- sensus Hierarchy has been our best explanation of the rela- tive power of various types of multiprocessor synchronization objects when used in deterministic algorithms. However, key to this hierarchy is treating these instructions as distinct objects, an approach that is far from the real-world, where multiprocessor programs apply synchronization instructions to collections of arbitrary memory locations. We were sur- prised to realize that, when considering instructions applied to memory locations, the computability based hierarchy col- lapses. This leaves open the question of how to better cap- tures the power of various synchronization instructions. In this paper, we provide an approach to answering this question. We present a hierarchy of synchronization in- structions, classified by their space complexity in solving obstruction-free consensus. Our hierarchy provides a clas- sification of combinations of known instructions that seems to fit with our intuition of how useful some are in practice, while questioning the effectiveness of others. We prove an essentially tight characterization of the power of buffered read and write instructions. Interestingly, we show a similar result for multi-location atomic assignments.
AB - For many years, Herlihy's elegant computability based Con- sensus Hierarchy has been our best explanation of the rela- tive power of various types of multiprocessor synchronization objects when used in deterministic algorithms. However, key to this hierarchy is treating these instructions as distinct objects, an approach that is far from the real-world, where multiprocessor programs apply synchronization instructions to collections of arbitrary memory locations. We were sur- prised to realize that, when considering instructions applied to memory locations, the computability based hierarchy col- lapses. This leaves open the question of how to better cap- tures the power of various synchronization instructions. In this paper, we provide an approach to answering this question. We present a hierarchy of synchronization in- structions, classified by their space complexity in solving obstruction-free consensus. Our hierarchy provides a clas- sification of combinations of known instructions that seems to fit with our intuition of how useful some are in practice, while questioning the effectiveness of others. We prove an essentially tight characterization of the power of buffered read and write instructions. Interestingly, we show a similar result for multi-location atomic assignments.
UR - http://www.scopus.com/inward/record.url?scp=84984714285&partnerID=8YFLogxK
U2 - 10.1145/2933057.2933113
DO - 10.1145/2933057.2933113
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AN - SCOPUS:84984714285
T3 - Proceedings of the Annual ACM Symposium on Principles of Distributed Computing
SP - 289
EP - 298
BT - PODC 2016 - Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing
PB - Association for Computing Machinery
Y2 - 25 July 2016 through 28 July 2016
ER -