VLDB '89 Proceedings of the 15th international conference on Very large data bases
Energy efficient indexing on air
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
A performance comparison of contemporary DRAM architectures
ISCA '99 Proceedings of the 26th annual international symposium on Computer architecture
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Database Systems Concepts
Database Management Systems
Energy-performance trade-offs for spatial access methods on memory-resident data
The VLDB Journal — The International Journal 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
PicoDBMS: Scaling down database techniques for the smartcard
The VLDB Journal — The International Journal on Very Large Data Bases
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
DRAM Energy Management Using Sof ware and Hardware Directed Power Mode Control
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Digital Integrated Circuits
Automating energy optimization with features
FOSD '10 Proceedings of the 2nd International Workshop on Feature-Oriented Software Development
Peak power plays in database engines
Proceedings of the 15th International Conference on Extending Database Technology
A survey of architectural techniques for DRAM power management
International Journal of High Performance Systems Architecture
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The tremendous growth of system memories has increased the capacities and capabilities of memory-resident embedded databases, yet current embedded databases need to be tuned in order to take advantage of new memory technologies. In this paper, we study the implications of hosting memory resident databases, and propose hardware and software (query-driven) techniques to improve their performance and energy consumption. We exploit the structured organization of memories, which enables a selective mode of operation in which banks are accessed selectively. Unused banks are placed in a lower power mode based on access pattern information. We propose hardware techniques that dynamically control the memory by making the system adapt to the access patterns that arise from queries. We also propose a software (query-directed) scheme that directly modifies the queries to reduce the energy consumption by ensuring uniform bank accesses. Our results show that these optimizations could lead to at the least 40% reduction in memory energy. We also show that query-directed schemes better utilize the low-power modes, achieving up to 68% improvement.