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ORCIDJie Ren 0015
Person information
- affiliation: College of William & Mary, Williamsburg, VA, USA
- affiliation (PhD 2022): University of California, Merced, CA, USA
Other persons with the same name
- Jie Ren — disambiguation page
- Jie Ren 0001 — Google Inc., Santa Monica, CA, USA (and 1 more)
- Jie Ren 0002
![[0000-0001-5931-5881]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5931-5881")
— Nantong University, School of Information Science and Technology, Nantong, China - Jie Ren 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Jie Ren 0004 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Jie Ren 0005 — National University of Singapore, Department of Physics, Singapore
- Jie Ren 0006 — Google Brain, CA, USA (and 2 more)
- Jie Ren 0007 — Shaanxi Normal University, School of Computer Science, Xi'an, China (and 1 more)
- Jie Ren 0008 — University of Toronto, ON, Canada (and 1 more)
- Jie Ren 0009 — Fordham University, Gabelli School of Business, New York, NY, USA (and 1 more)
- Jie Ren 0010 — Beijing Jiaotong University, School of Electronics and Information Engineering, Beijing, China
- Jie Ren 0011 — China Yangtze Power Co., Yichang, China
- Jie Ren 0012 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Jie Ren 0013 — Huawei Technologies, Shanghai, China (and 2 more)
- Jie Ren 0014 — Xi'an Polytechnic University, College of Electronics and Information, Xi'an, China (and 1 more)
- Jie Ren 0016 — Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
- Jie Ren 0017 — Tsinghua University, Beijing, China
- Jie Ren 0018 — Shanghai Jiao Tong University, China
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2020 – today
- 2024
[c15]Jie Ren, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li:
MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. EuroSys 2024: 803-817- [c14]Jie Ren, Dong Xu, Shuangyan Yang, Jiacheng Zhao, Zhicheng Li, Christian Navasca, Chenxi Wang, Guoqing Harry Xu, Dong Li:
Enabling Large Dynamic Neural Network Training with Learning-based Memory Management. HPCA 2024: 788-802 - [i7]Jie Liu, Xi Wang, Jianbo Wu, Shuangyan Yang, Jie Ren, Bhanu Shankar, Dong Li:
Exploring and Evaluating Real-world CXL: Use Cases and System Adoption. CoRR abs/2405.14209 (2024) - 2023
- [j1]Minjia Zhang, Jie Ren, Zhen Peng, Ruoming Jin, Dong Li, Bin Ren:
iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. IEEE Data Eng. Bull. 46(3): 22-38 (2023) - [c13]Luanzheng Guo, Jay F. Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon:
Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. ISC Workshops 2023: 221-233 - [i6]Jie Ren, Dong Xu, Ivy Peng, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li:
HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems. CoRR abs/2302.09468 (2023) - 2021
- [c12]Kai Wu, Jie Ren, Ivy Bo Peng, Dong Li:
ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory. FAST 2021: 141-153 - [c11]Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Hyeran Jeon, Dong Li:
Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning. HPCA 2021: 598-611 - [c10]Jie Ren, Jiaolin Luo, Ivy Bo Peng, Kai Wu, Dong Li:
Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy. ICS 2021: 203-214 - [c9]Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li:
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. PPoPP 2021: 318-333 - [c8]Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He:
ZeRO-Offload: Democratizing Billion-Scale Model Training. USENIX ATC 2021: 551-564 - [i5]Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He:
ZeRO-Offload: Democratizing Billion-Scale Model Training. CoRR abs/2101.06840 (2021) - 2020
- [c7]Kai Wu, Ivy Bo Peng, Jie Ren, Dong Li:
Ribbon: High Performance Cache Line Flushing for Persistent Memory. PACT 2020: 427-439 - [c6]Jie Ren, Kai Wu, Dong Li:
Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. CLUSTER 2020: 237-247 - [c5]Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale:
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. IPDPS 2020: 916-925 - [c4]Jie Ren, Minjia Zhang, Dong Li:
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory. NeurIPS 2020 - [i4]Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale:
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. CoRR abs/2002.06499 (2020)
2010 – 2019
- 2019
- [c3]Jie Ren, Chunhua Liao, Dong Li:
Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. IPDPS Workshops 2019: 382-386 - [i3]Kai Wu, Jie Ren, Dong Li:
Architecture-Aware, High Performance Transaction for Persistent Memory. CoRR abs/1903.06226 (2019) - [i2]Jie Ren, Kai Wu, Dong Li:
EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. CoRR abs/1906.10081 (2019) - [i1]Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Dong Li:
Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning. CoRR abs/1909.05182 (2019) - 2018
- [c2]Jie Ren, Kai Wu, Dong Li:
Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory. MCHPC@SC 2018: 27-36 - [c1]Kai Wu, Jie Ren, Dong Li:
Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs. SC 2018: 31:1-31:13
Coauthor Index
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last updated on 2024-07-24 23:41 CEST by the dblp team
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