ACM Transactions on Computer Systems (TOCS)
Specification and design of embedded systems
Specification and design of embedded systems
The SimpleScalar tool set, version 2.0
ACM SIGARCH Computer Architecture News
A recursive algorithm for low-power memory partitioning
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Bounding Cache-Related Preemption Delay for Real-Time Systems
IEEE Transactions on Software Engineering
Influence of Loop Optimizations on Energy Consumption of Multi-bank Memory Systems
CC '02 Proceedings of the 11th International Conference on Compiler Construction
ARVLSI '97 Proceedings of the 17th Conference on Advanced Research in VLSI (ARVLSI '97)
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
Nonuniform Banking for Reducing Memory Energy Consumption
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
A survey of architectural techniques for DRAM power management
International Journal of High Performance Systems Architecture
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The main memory is one of the most energy-consuming components in several embedded system. In order to minimize this memory consumption, an architectural solution is recently adopted. It consists of multi-banking the addressing space instead of monolithic memory. The main advantage in this approach is the capability of setting individually banks in low power modes when they are not accessed, such that only the accessed bank is maintained in active mode. In this paper we investigate how this power management capability built into modern DRAM devices can be handled for real-time and multitasking applications. We aim to find, at system level design, both an efficient allocation of application's tasks to memory banks, and the memory configuration that lessen the energy consumption: number of banks and the size of each bank. Results show the effectiveness of this approach and the large energy savings.