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Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement

Summary: NUMA-aware data placement and task scheduling for concurrent main-memory column-stores. Comparative evaluation shows unnecessary partitioning reduces throughput up to 70% and memory-heavy task stealing up to 58%, motivating adaptive, workload-aware design. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11022
Venue
VLDB
Year
2015
Pagerank
6.293052e-05
Overall Rank
4,282 | 70.22%
DOI
-

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