{"title":"Smarter Atomic Smart Pointers: Safe and Efficient Concurrent Memory Management (Abstract)","authors":"Daniel Anderson, G. Blelloch, Yuanhao Wei","doi":"10.1145/3597635.3598027","DOIUrl":null,"url":null,"abstract":"We present a technique for concurrent memory management that combines the ease-of-use of automatic memory reclamation, and the efficiency of state-of-the-art deferred reclamation algorithms. First, we combine ideas from referencing counting and hazard pointers in a novel way to implement automatic concurrent reference counting with wait-free, constant-time overhead. Second, we generalize our previous algorithm to obtain a method for converting any standard manual SMR technique into an automatic reference counting technique with a similar performance profile. We have implemented the approach as a C++ library and compared it experimentally to existing atomic reference-counting libraries and state-of-the-art manual techniques. Our results indicate that our technique is faster than existing reference-counting implementations, and competitive with manual memory reclamation techniques. More importantly, it is significantly safer than manual techniques since objects are reclaimed automatically.","PeriodicalId":185981,"journal":{"name":"Proceedings of the 2023 ACM Workshop on Highlights of Parallel Computing","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 ACM Workshop on Highlights of Parallel Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3597635.3598027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present a technique for concurrent memory management that combines the ease-of-use of automatic memory reclamation, and the efficiency of state-of-the-art deferred reclamation algorithms. First, we combine ideas from referencing counting and hazard pointers in a novel way to implement automatic concurrent reference counting with wait-free, constant-time overhead. Second, we generalize our previous algorithm to obtain a method for converting any standard manual SMR technique into an automatic reference counting technique with a similar performance profile. We have implemented the approach as a C++ library and compared it experimentally to existing atomic reference-counting libraries and state-of-the-art manual techniques. Our results indicate that our technique is faster than existing reference-counting implementations, and competitive with manual memory reclamation techniques. More importantly, it is significantly safer than manual techniques since objects are reclaimed automatically.