Performance & Power Impact of Multiple DRAM Address Mapping Schemes

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Lowest-level cache misses are satisfied by the main memory through a specific address mapping scheme that is hard-coded in the memory controller. A dynamic address mapping scheme technique is investigated to provide higher performance and lower power consumption, and a method to throttle memory to meet a specific power budget. Several experiments are conducted on single and multithreaded synthetic memory traces -to study extreme cases- and validate the usability of the proposed dynamic mapping scheme over the fixed one. Results show that applications performance varies according to the mapping scheme used, and a dynamic mapping scheme achieves up to 2x increase in peak bandwidth utilization and around 30% higher energy efficiency than a system using only a single fixed scheme Moreover, the technique can be used to limit memory accesses into a subset of the memory devices by controlling data allocation at a finer granularity, providing a method to throttle main memory by allowing un-accessed devices to be put into power-down mode, hence saving power to meet a certain power budget.

Autorentext

Rami received the Bachelor's degree in Electrical Engineering from the University of Sharjah, U.A.E in 2006. He then was an engineer building scalable search systems for three years. In 2011, he earned the Masters Degree in Electrical Engineering from the University of Central Florida. He is currently with NVIDIA

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783847376217
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H220mm x B150mm x T5mm
    • Jahr 2012
    • EAN 9783847376217
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-8473-7621-7
    • Titel Performance & Power Impact of Multiple DRAM Address Mapping Schemes
    • Autor Rami Jadaa
    • Untertitel The Performance and Power Impact of Using Multiple DRAM Address Mapping Schemes in Multicore Processors
    • Gewicht 136g
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 80
    • Genre Informatik

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