Jie Liu

According to our database, Jie Liu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-driven Performance Optimization for Data-intensive Applications

Jie Liu

PhD thesis, 2024

Tuning Fast Memory Size based on Modeling of Page Migration for Tiered Memory.

Shangye Chen, Jin Huang, Shuangyan Yang, Jie Liu, Huaicheng Li, Dimitrios S. Nikolopoulos, Junhee Ryu, Jinho Baek, Kwangsik Shin, Dong Li

CoRR, 2024

Exploring and Evaluating Real-world CXL: Use Cases and System Adoption.

Jie Liu, Xi Wang, Jianbo Wu, Shuangyan Yang, Jie Ren, Bhanu Shankar, Dong Li

CoRR, 2024

Performance Study of CXL Memory Topology.

Jianbo Wu, Jie Liu, Gokcen Kestor, Roberto Gioiosa, Dong Li, Andres Marquez

Proceedings of the International Symposium on Memory Systems, 2024

2023

Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness.

Zhen Xie, Jie Liu, Jiajia Li, Dong Li

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

2022

LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications.

Zhen Xie, Jie Liu, Sam Ma, Jiajia Li, Dong Li

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

Lobster: Load Balance-Aware I/O for Distributed DNN Training.

Jie Liu, Bogdan Nicolae, Dong Li

Proceedings of the 51st International Conference on Parallel Processing, 2022

Large Scale Caching and Streaming of Training Data for Online Deep Learning.

Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster

Proceedings of the FlexScience '22: Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2022

2021

Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation.

Jie Liu, Wenqian Dong, Dong Li, Qingqing Zhou

Proc. VLDB Endow., 2021

Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors.

Jie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

MD-HM: memoization-based molecular dynamics simulations on big memory system.

Zhen Xie, Wenqian Dong, Jie Liu, Ivy Bo Peng, Yanbao Ma, Dong Li

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020

FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors.

Jie Liu, Jiawen Liu, Zhen Xie, Dong Li

CoRR, 2020

2019

Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2.

Jie Liu, Jiawen Liu, Wan Du, Dong Li

CoRR, 2019

Adaptive neural network-based approximation to accelerate eulerian fluid simulation.

Wenqian Dong, Jie Liu, Zhen Xie, Dong Li

Proceedings of the International Conference for High Performance Computing, 2019

Performance Analysis and Characterization of Training Deep Learning Models on Mobile Device.

Jie Liu, Jiawen Liu, Wan Du, Dong Li

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019