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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mohan Yang Zaniolo, C. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USA (Mohan Yang; Zaniolo, C.) |
| Abstract | Supporting iteration and/or recursion for advanced big data analytics requires reexamination of classical algorithms on modern computing environments. Several recent studies have focused on the implementation of transitive closure in multi-node clusters. Algorithms that deliver optimal performance on multi-node clusters are hardly optimal on multicore machines. We present an experimental study on finding efficient main memory recursive query evaluation algorithms on modern multi-core machines. We review SEMINAIVE, SMART and a pair of single-source closure (SSC) algorithms. We also propose a new hybrid SSC algorithm, named SSC12, which combines two previously known SSC algorithms. We implement these algorithms on a multicore shared memory machine, and compare their memory utilization, speed and scalability on synthetic and real-life datasets. Our experiments show that, on multicore machines, the surprisingly simple SSC12 is the only transitive-closure algorithm that is consistently fast and memory-efficient on all test graphs. |
| Starting Page | 251 |
| Ending Page | 260 |
| File Size | 1141274 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781479956661 |
| DOI | 10.1109/BigData.2014.7004240 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multicore Transitive closure Main memory Multicore processing Instruction sets Query processing Memory management Clustering algorithms Arrays Indexes Recursive query |
| Content Type | Text |
| Resource Type | Article |
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