Making B+- trees cache conscious in main memory
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A Study of Index Structures for Main Memory Database Management Systems
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Cache Conscious Indexing for Decision-Support in Main Memory
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Database Architecture Optimized for the New Bottleneck: Memory Access
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
DBMSs on a Modern Processor: Where Does Time Go?
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Optimizing database architecture for the new bottleneck: memory access
The VLDB Journal — The International Journal on Very Large Data Bases
Communist, utilitarian, and capitalist cache policies on CMPs: caches as a shared resource
Proceedings of the 15th international conference on Parallel architectures and compilation techniques
Query co-processing on commodity processors
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Cache-conscious frequent pattern mining on modern and emerging processors
The VLDB Journal — The International Journal on Very Large Data Bases
CST-trees: cache sensitive t-trees
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
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Recent research shows that database performance can be significantly improved by the effective cache utilization of conventional microprocessors. Researchers have modified existing index structures into ones optimized for CPU cache performance in main memory database environments. The Cache Sensitive B+-Tree and recently developed Cache Sensitive T-Tree are the most well-known cache conscious index structures. In this paper, we present an experimental performance study to show how cache conscious trees perform on different types of modern CPU processors. We perform experiment evaluation on basic tree operations, search, range search, and insertion/deletion operation.