SHF: Small: Architectural Support for Reliable ReRAM Crossbar Memory
SHF: Small: Architectural Support for Reliable ReRAM Crossbar Memory
批准号:
1617071
负责人:
Jun Yang
金额:
$45.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2020-06-30
中文摘要
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英文摘要
Driven by prevailing applications that process extreme volume of data, the quest for large memory capacity has become increasingly strong. Conventional DRAM-based memory is facing severe technology scaling limitations such as process variations, which hinders the growth in memory density at reasonable cost. Such challenges inspire the search for alternative memory technologies such as the emerging non-volatile Resistive RAMs (ReRAM). ReRAM exploits resistance of Metal-Oxide-Metal structure to represent stored information. It has shorter read and write latency, and better write endurance when compared with other non-volatile memories. ReRAM exhibits superior scalability and can be architected to build high-density memories using a crossbar structure, or 3D stacking. Such features make ReRAM a competitive technology as a DRAM replacement to achieve significant large memory capacity for modern data intensive applications. Education objectives will be achieved through broad dissemination of results via publications, research seminars, tutorials, software demonstrations, conference participation, and technology transfer initiatives. Continuous student training will be carried through involving graduate, undergraduate students, especially underrepresented students in this research. There are major difficulties in building a large memory using the crossbar ReRAM architecture. The reliability of the memory is challenged by its large sneak leakage, operation disturbance and endurance. This research aims to tackle those challenges by investigating novel cell-array organizations and management techniques to reduce sneak leakage, minimize disturbance, prolong the lifetime and improve the overall reliability of the new memory structure. This research will ensure that future resistive memories can be developed to become reliable at high density, which helps to fuel the continuation of Moore?s Law in memory advancement.
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PEP: Proactive Checkpointing for Efficient Preemption on GPUs
PEP:主动检查点以实现 GPU 上的高效抢占
DOI:
10.1109/dac.2018.8465929
发表时间:
2018
期刊:
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC
影响因子:
--
作者:
[Li, Chen, Yang, Jun, Zigerelli, Andrew, Guo, Yang]
通讯作者:
Guo, Yang
DrAcc: a DRAM based Accelerator for Accurate CNN Inference
DrAcc:基于 DRAM 的准确 CNN 推理加速器
DOI:
10.1109/dac.2018.8465866
发表时间:
2018
期刊:
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC
影响因子:
--
作者:
[Deng, Quan, Jiang, Lei, Zhang, Youtao, Zhang, Minxuan, Yang, Jun]
通讯作者:
Yang, Jun
DOI:
10.1145/3218603.3218627
发表时间:
2018-07
期刊:
Proceedings of the International Symposium on Low Power Electronics and Design
影响因子:
--
作者:
[Tyler Garrett;Jun Yang;Youtao Zhang]
通讯作者:
Tyler Garrett;Jun Yang;Youtao Zhang
A Process-Variation-Tolerant Method for Nanophotonic On-Chip Network
纳米光子片上网络的工艺变化容忍方法
DOI:
10.1145/3208073
发表时间:
2018
期刊:
ACM Journal on Emerging Technologies in Computing Systems
影响因子:
2.2
作者:
[Xu, Yi, Yang, Jun, Melhem, Rami]
通讯作者:
Melhem, Rami
DOI:
10.1145/3195970.3196138
发表时间:
2018-06
期刊:
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)
影响因子:
--
作者:
[Wen Wen-Wen;Youtao Zhang;Jun Yang]
通讯作者:
Wen Wen-Wen;Youtao Zhang;Jun Yang
共 9 条
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Fast Software Thermal Sensing and Control for Efficient Dynamic Thermal Management
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CAREER: Techniques and Applications of Derived Data Maintenance
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Geometric Construction of Functional Equations and Bloch Elements
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国内基金
海外基金
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