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Data manipulation techniques to reduce phase change memory write energy
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International Symposium on Low Power Electronics and Design archive
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design table of contents
San Fancisco, CA, USA
SESSION: Digital low-power potpourri table of contents
Pages: 237-242  
Year of Publication: 2009
ISBN:978-1-60558-684-7
Authors
Wei Xu  Rensselaer Polytechnic Institute, Troy, NY, USA
Jibang Liu  Rensselaer Polytechnic Institute, Troy, NY, USA
Tong Zhang  Rensselaer Polytechnic Institute, Troy, NY, USA
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Due to its great scalability potential, phase change memory has become a topic of great current interest. However, high write energy consumption appears to be one of the biggest challenges to be tackled before phase change memory can be adopted as a mainstream memory technology. This paper presents architecture level technique to reduce phase change memory write energy consumption through data manipulations. Motivated by the fact that phase change memory read incurs much less energy than write and write of different value to a phase change memory cell incurs largely different energy, we present two memory write data manipulation techniques that can effectively reduce the overall memory write energy consumption. Their effectiveness has been demonstrated based on mathematical analysis and computer system simulation using phase change memory as the main memory in the computer memory hierarchy. Significant energy savings with up to more than 60% have been shown over a wide range of computer system benchmarks.


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:
Wei Xu: colleagues
Jibang Liu: colleagues
Tong Zhang: colleagues