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| Content Provider | ACM Digital Library |
|---|---|
| Author | Joisha, Pramod G. |
| Abstract | We present the sticky trie, a new variant of the standard trie data structure that achieves high-performing atomic insertions and lookups for large key universes by precluding deletions. It has applications in several areas, including address tracking, logging, and garbage collection. By leveraging features of a modern operating system, we show how a runtime can exploit the absence of deletions to realize an efficient sticky-trie implementation. We report on an evaluation of two representative uses---compelling Bloom-filter alternative and fast substitute for a garbage collector's sequential store buffer (SSB). We demonstrate that a sticky trie, when compared with what is perhaps among the simplest Bloom filters, can be over 43% faster, scale substantially better with increasing threads, and yet be free of false positives. By introducing the concept of an ideal SSB, we also demonstrate that a sticky trie could be competitive in performance with a class of SSBs. |
| Starting Page | 35 |
| Ending Page | 46 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781450329217 |
| DOI | 10.1145/2602988.2602998 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-06-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Address-space api Set Memory management Trie |
| Content Type | Text |
| Resource Type | Article |
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