DocumentCode
1353726
Title
Design of Last-Level On-Chip Cache Using Spin-Torque Transfer RAM (STT RAM)
Author
Xu, Wei ; Sun, Hongbin ; Wang, Xiaobin ; Chen, Yiran ; Zhang, Tong
Author_Institution
Electr. & Comput. Sci. Engi neering (ECSE) Dept., Rensselaer Polytech. Inst., Troy, NY, USA
Volume
19
Issue
3
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
483
Lastpage
493
Abstract
Because of its high storage density with superior scalability, low integration cost and reasonably high access speed, spin-torque transfer random access memory (STT RAM) appears to have a promising potential to replace SRAM as last-level on-chip cache (e.g., L2 or L3 cache) for microprocessors. Due to unique operational characteristics of its storage device magnetic tunneling junction (MTJ), STT RAM is inherently subject to a write latency versus read latency tradeoff that is determined by the memory cell size. This paper first quantitatively studies how different memory cell sizing may impact the overall computing system performance, and shows that different computing workloads may have conflicting expectations on memory cell sizing. Leveraging MTJ device switching characteristics, we further propose an STT RAM architecture design method that can make STT RAM cache with relatively small memory cell size perform well over a wide spectrum of computing benchmarks. This has been well demonstrated using CACTI-based memory modeling and computing system performance simulations using SimpleScalar. Moreover, we show that this design method can also reduce STT RAM cache energy consumption by up to 30% over a variety of benchmarks.
Keywords
magnetic tunnelling; random-access storage; CACTI-based memory modeling; STT RAM; SimpleScalar; high access speed; last-level on-chip cache; magnetic tunneling junction; random access memory; spin-torque transfer RAM; storage device; Cache memories; magnetic tunneling junction; spin-torque transfer;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2009.2035509
Filename
5352236
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