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An alternate design paradigm for robust spin-torque transfer magnetic RAM (STT MRAM) from circuit/architecture perspective
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Asia and South Pacific Design Automation Conference archive
Proceedings of the 2009 Asia and South Pacific Design Automation Conference table of contents
Yokohama, Japan
SESSION: Emerging technologies table of contents
Pages 841-846  
Year of Publication: 2009
ISBN:978-1-4244-2748-2
Authors
Jing Li  Purdue University, West Lafayette, IN
Patrick Ndai  Purdue University, West Lafayette, IN
Ashish Goel  Purdue University, West Lafayette, IN
Haixin Liu  Purdue University, West Lafayette, IN
Kaushik Roy  Purdue University, West Lafayette, IN
Sponsors
: IEEE Circuits and Systems Society
SIGDA: ACM Special Interest Group on Design Automation
IEICE ESS : Institute of Electronics, Information and Communication Engineers - Engineering Sciences Society
IPSJ SIGSLDM : Information Processing Society of Japan - SIG System LSI Design Methodology
Publisher
IEEE Press  Piscataway, NJ, USA
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ABSTRACT

Spin-Torque Transfer Magnetic RAM (STT MRAM) is a promising candidate for future embedded applications. It provides desirable memory attributes such as fast access time, low cost, high density and non-volatility. However, variations in process parameters can lead to a large number of cells to fail, severely affecting the yield of the memory array. In this paper, we provide a thorough analysis of the impact of design parameters on parametric failures due to process variations. To achieve high memory yield without incurring expensive technology modification, we developed an alternate design paradigm ---circuit/architecture co-design --- to take advantage of different levels of design hierarchy (circuit and architecture) to improve the yield and memory density. The technique decouples the conflicting design requirements for read stability/writability and density. Consequently, the memory cell failure probability reduces by 48% and cell area reduces by 21% with negligible performance degradation (~0.4%).


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:
Jing Li: colleagues
Patrick Ndai: colleagues
Ashish Goel: colleagues
Haixin Liu: colleagues
Kaushik Roy: colleagues