Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor
Summary: PhiDB is an OLAP processor on Xeon Phi many-core with SMT, applying Phi-aware SIMD/prefetching and co-scheduled operators. Results show 14-33% gains from architecture-aware optimizations and 30% from concurrent scheduling, underscoring the need for operator- and scheduler-level redesign for future many-core DBs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xuntao Cheng
- 2. Bingsheng He
- 3. Mian Lu
- 4. Chiew Tong Lau
- 5. Huynh Phung Huynh
- 6. Rick Siow Mong Goh
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 307 | SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units | 2009 | VLDB | 0.00028226342 |
| 403 | Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited | 2014 | VLDB | 0.00024176677 |
| 944 | Efficient Implementation of Sorting on Multi-Core SIMD CPU Architecture | 2008 | VLDB | 0.0001512998 |
| 959 | Rethinking SIMD Vectorization for In-Memory Databases | 2015 | SIGMOD | 0.00015034808 |
| 3,994 | Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach | 2015 | VLDB | 6.5476357e-05 |
| 8,779 | EaseDB: A Cache-Oblivious In-Memory Query Processor | 2007 | SIGMOD | 4.4485572e-05 |
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