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Database Servers on Chip Multiprocessors: Limitations and Opportunities

Summary: Empirical study of a commercial DB server on chip multiprocessors reveals a shift from off‑chip memory stalls to on‑chip data cache (L2) hit stalls as the dominant execution cost. Derives DB software/hardware features to exploit CMPs and mitigate L2 stall dominance. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
62
Venue
CIDR
Year
2007
Pagerank
8.1321802e-05
Overall Rank
2,778 | 80.68%
DOI
-

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Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
80 Weaving Relations for Cache Performance 2001 VLDB 0.00055721729
81 Cache Conscious Algorithms for Relational Query Processing 1994 VLDB 0.00055548574
103 Making B+-Trees Cache Conscious in Main Memory 2000 SIGMOD 0.00049150032
124 DBMSs On A Modern Processor: Where Does Time Go? 1999 VLDB 0.00045103515
515 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00021214633
2,328 A Case for Staged Database Systems 2003 CIDR 9.0225171e-05
6,447 STEPS Towards Cache-Resident Transaction Processing 2004 VLDB 5.0588602e-05
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