Towards Efficient NVDIMM-based Heterogeneous Storage Hierarchy Management for Big Data Workloads-Reference-Cited by-同舟云学术

Towards Efficient NVDIMM-based Heterogeneous Storage Hierarchy Management for Big Data Workloads

Published:2019-10-12 Issue: Volume: Page:
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Container-title:Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
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Author:

Chen Renhai¹,Shao Zili²,Liu Duo³,Feng Zhiyong¹,Li Tao⁴

Affiliation:

1. College of Intelligence and Computing, Shenzhen Research Institute of Tianjin University, Tianjin University

2. Department of Computer Science and Engineering, The Chinese University of Hong Kong

3. College of Computer Science, Chongqing University

4. Department of Electrical and Computer Engineering, University of Florida

Funder

Natural Science Foundation of Tianjin

National Natural Science Foundation of China

the Research Grants Council of the Hong Kong Special Administrative Region, China

NSF grant

Shenzhen Science and Technology Foundation

Direct Grant for Research, The Chinese University of Hong Kong

Peiyang Scholar Foundation of Tianjin University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352460.3358266

Reference52 articles.

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2. JetScope

3. On-demand block-level address mapping in large-scale NAND flash storage systems;Chen Renhai;IEEE Trans. Comput.,2015

4. Bridging the I/O performance gap for big data workloads: A new NVDIMM-based approach

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