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A durable and energy efficient main memory using phase change memory technology
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International Symposium on Computer Architecture archive
Proceedings of the 36th annual international symposium on Computer architecture table of contents
Austin, TX, USA
SESSION: New memory technology table of contents
Pages 14-23  
Year of Publication: 2009
ISBN:978-1-60558-526-0
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Authors
Ping Zhou  University of Pittsburgh, Pittsburgh, PA, USA
Bo Zhao  University of Pittsburgh, Pittsburgh, PA, USA
Jun Yang  University of Pittsburgh, Pittsburgh, PA, USA
Youtao Zhang  University of Pittsburgh, Pittsburgh, PA, USA
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Using nonvolatile memories in memory hierarchy has been investigated to reduce its energy consumption because nonvolatile memories consume zero leakage power in memory cells. One of the difficulties is, however, that the endurance of most nonvolatile memory technologies is much shorter than the conventional SRAM and DRAM technology. This has limited its usage to only the low levels of a memory hierarchy, e.g., disks, that is far from the CPU.

In this paper, we study the use of a new type of nonvolatile memories -- the Phase Change Memory (PCM) as the main memory for a 3D stacked chip. The main challenges we face are the limited PCM endurance, longer access latencies, and higher dynamic power compared to the conventional DRAM technology. We propose techniques to extend the endurance of the PCM to an average of 13 (for MLC PCM cell) to 22 (for SLC PCM) years. We also study the design choices of implementing PCM to achieve the best tradeoff between energy and performance. Our design reduced the total energy of an already low-power DRAM main memory of the same capacity by 65%, and energy-delay2 product by 60%. These results indicate that it is feasible to use PCM technology in place of DRAM in the main memory for better energy efficiency.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Ping Zhou: colleagues
Bo Zhao: colleagues
Jun Yang: colleagues
Youtao Zhang: colleagues