Hitting the memory wall: implications of the obvious
ACM SIGARCH Computer Architecture News
Exokernel: an operating system architecture for application-level resource management
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Memory controller policies for DRAM power management
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Scheduler-based DRAM energy management
Proceedings of the 39th annual Design Automation Conference
Energy exploration and reduction of SDRAM memory systems
Proceedings of the 39th annual Design Automation Conference
Exploiting ILP, TLP, and DLP with the polymorphous TRIPS architecture
Proceedings of the 30th annual international symposium on Computer architecture
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
Implementing an untrusted operating system on trusted hardware
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Design and validation of a performance and power simulator for PowerPC systems
IBM Journal of Research and Development
Mambo: a full system simulator for the PowerPC architecture
ACM SIGMETRICS Performance Evaluation Review - Special issue on tools for computer architecture research
Design and implementation of power-aware virtual memory
ATEC '03 Proceedings of the annual conference on USENIX Annual Technical Conference
Modeling of DRAM power control policies using deterministic and stochastic Petri nets
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Dynamic power management of DRAM using accessed physical addresses
Microprocessors & Microsystems
PABC: Power-Aware Buffer Cache Management for Low Power Consumption
IEEE Transactions on Computers
Autonomic power and performance management for computing systems
Cluster Computing
IAMEM: interaction-aware memory energy management
USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
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Energy is becoming a critical resource to not only small battery-powered devices but also large server systems, where high energy consumption translates to excessive heat dissipation, which, in turn, increases cooling costs and causes servers to become more prone to failure. Main memory is one of the most energy-consuming components in many systems. In this paper, we propose and evaluate a novel power management technique, in which the system software provides the memory controller with a small amount of information about the current state of the system, which is used by the memory controller to significantly reduce power. Our technique enables the memory controller to more intelligently react to the changing state in the system, and therefore, be able to make more accurate and more aggressive power management decisions. The proposed technique is evaluated against previously-implemented power management techniques running synthetic, SPECjbb2000 [17] and various SPECcpu2000 [18] benchmarks. Using SPEC benchmarks, we are able to show that the cooperative technique consumes 14.2–17.3% less energy than the previously-proposed hardware-only technique, 16.0–25.8% less than the software-only technique.