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| Content Provider | ACM Digital Library |
|---|---|
| Author | Calciu, Irina Aguilera, Marcos K. Sen, Siddhartha Balakrishnan, Mahesh |
| Abstract | High-performance servers are Non-Uniform Memory Access (NUMA) machines. To fully leverage these machines, programmers need efficient concurrent data structures that are aware of the NUMA performance artifacts. We propose Node Replication (NR), a black-box approach to obtaining such data structures. NR takes an arbitrary sequential data structure and automatically transforms it into a NUMA-aware concurrent data structure satisfying linearizability. Using NR requires no expertise in concurrent data structure design, and the result is free of concurrency bugs. NR draws ideas from two disciplines: shared-memory algorithms and distributed systems. Briefly, NR implements a NUMA-aware shared log, and then uses the log to replicate data structures consistently across NUMA nodes. NR is best suited for contended data structures, where it can outperform lock-free algorithms by 3.1x, and lock-based solutions by 30x. To show the benefits of NR to a real application, we apply NR to the data structures of Redis, an in-memory storage system. The result outperforms other methods by up to 14x. The cost of NR is additional memory for its log and replicas. |
| Starting Page | 207 |
| Ending Page | 221 |
| Page Count | 15 |
| File Format | |
| ISBN | 9781450344654 |
| DOI | 10.1145/3037697.3037721 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-04-04 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Black-box techniques Log Numa architecture Replication Concurrent data structures |
| Content Type | Text |
| Resource Type | Article |
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