A Novel High Performance and Energy Efficient NUCA Architecture for STT-MRAM LLCs With Thermal Consideration

被引:6
|
作者
Wu, Bi [1 ,2 ]
Dai, Pengcheng [1 ,2 ]
Cheng, Yuanqing [2 ]
Wang, Ying [3 ]
Yang, Jianlei [1 ,4 ]
Wang, Zhaohao [1 ,2 ]
Liu, Dijun [5 ]
Zhao, Weisheng [1 ,2 ]
机构
[1] Beihang Univ, Fert Beijing Inst, BDBC, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Microelect, Beijing 100191, Peoples R China
[3] Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
[4] Beihang Univ, Sch Comp Sci & Engn, Beijing 100191, Peoples R China
[5] China Acad Informat & Commun Technol, Beijing 100191, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
System-on-chip; Computer architecture; Magnetic tunneling; Transistors; Switches; Thermal sensors; Organizations; Cache; data migration; low power; spin transfer torque magnetic memory (STT-MRAM); thermal gradient; MAGNETIC TUNNEL-JUNCTION; MEMORY; CACHE; MODEL;
D O I
10.1109/TCAD.2019.2897707
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As the speed gap of the modern processor and the off-chip main memory enlarges, on-chip cache capacity increases to sustain the performance scaling. As a result, the cache power occupies a large portion of the total power budget. Spin transfer torque magnetic memory (STT-MRAM) is proposed as a promising solution for the low power cache design due to its high integration density and ultralow leakage power. Nevertheless, the high write power and latency of STT-MRAM become new barriers for the commercialization of this emerging technology. In this paper, we investigate the thermal effect on the access performance of STT-MRAM, and observe that the temperature can affect the write delay and energy significantly. Then, we explore the nonuniform cache access (NUCA) design of the chip-multiprocessors with STT-MRAM-based last level cache (LLC). A thermal aware data migration policy, called "Thermosiphon," which takes advantage of the thermal property of STT-MRAM, is proposed to reduce the LLC write energy. This policy splits the LLC into different regions dynamically based on the thermal distribution monitored by thermal sensors available on-chip, and adaptively migrates write intensive data among different thermal regions considering the thermal gradient. Compared to the conventional NUCA design, our proposed design can save 41.2% write energy at most and 13.01% on average with negligible hardware overhead.
引用
收藏
页码:803 / 815
页数:13
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