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HIPC
2007
Springer

Self-optimization of Performance-per-Watt for Interleaved Memory Systems

10 years 5 months ago
Self-optimization of Performance-per-Watt for Interleaved Memory Systems
- With the increased complexity of platforms coupled with data centers’ servers sprawl, power consumption is reaching unsustainable limits. Memory is an important target for platform-level energy efficiency, where most power management techniques use multiple power state DRAM devices to transition them to low-power states when they are “sufficiently” idle. However, fully-interleaved memory in highperformance servers presents a research challenge to the memory power management problem. Due to data striping across all memory modules, memory accesses are distributed in a manner that considerably reduces the idleness of memory modules to warrant transitions to low-power states. In this paper we introduce a novel technique for dynamic memory interleaving that is adaptive to incoming workload in a manner that reduces memory energy consumption while maintaining the performance at an acceptable level. We use optimization theory to formulate and solve the powerperformance management probl...
Bithika Khargharia, Salim Hariri, Mazin S. Yousif
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where HIPC
Authors Bithika Khargharia, Salim Hariri, Mazin S. Yousif
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