Tao Lu

27 papers A* 3A 5B 3C 2Misc 1Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A conf
ASIC-based Compression Accelerators for Storage Systems: Design, Placement, and Profiling Insights.
EuroSys
Tao Lu, Jiapin Wang, Yelin Shan, Xiangping Zhang, Xiang Chen
2026 — conf
CEMU: Enabling Full-System Emulation of Computational Storage Beyond Hardware Limits.
ASPLOS (2)
Qiuyang Zhang, Jiapin Wang, You Zhou, Peng Xu, Kai Lu, Jiguang Wan, Fei Wu, Tao Lu
2026 J jnl
Computational Burst Buffers: Accelerating HPC I/O via In-Storage Compression Offloading.
IEEE Trans. Parallel Distributed Syst.
Xiang Chen, Bing Lu, Haoquan Long, Huizhang Luo, Yili Ma, Guangming Tan, Dingwen Tao, Fei Wu, Tao Lu
2025 A conf
Garbage Collection Does Not Only Collect Garbage: Piggybacking-Style Defragmentation for Deduplicated Backup Storage.
EuroSys
Dingbang Liu, Xiangyu Zou, Tao Lu, Philip Shilane, Wen Xia, Wenxuan Huang, Yanqi Pan, Hao Huang
2025 A* conf
StreamCSD: SSD-Autonomous Stream Management via In-Storage Content Learning.
DAC
Wenjie Li, Xiang Chen, Yelin Shan, Jiapin Wang, Yunxin Huang, Yafei Yang, Tao Lu, You Zhou, Fei Wu
2024 — conf
A Unified Computational Storage and Memory Architecture in the CXL Era.
NAS
Xiang Chen, Fei Wu, Tao Lu
2024 — conf
An SR-IOV SSD Optimized for QoS-Sensitive IaaS Cloud Storage.
IPDPS (Workshops)
Xiang Chen, Ru Ying, Haocong Ma, Yao Wang, Xianjun Meng, Guangjun Xie, Yonghui Zhan, Fenyong Yuan, Ying Yang, Tao Lu, Jinqiang Wang, You Zhou, Fei Wu
2024 A* conf
Balloon-ZNS: Constructing High-Capacity and Low-Cost ZNS SSDs with Built-in Compression.
DAC
Yu Wang, Zibin Sun, You Zhou, Tao Lu, Changsheng Xie, Fei Wu
2024 A conf
HA-CSD: Host and SSD Coordinated Compression for Capacity and Performance.
IPDPS
Xiang Chen, Tao Lu, Jiapin Wang, Yu Zhong, Guangchun Xie, Xueming Cao, Yuanpeng Ma, Bing Si, Feng Ding, Ying Yang, Yunxin Huang, Yafei Yang, You Zhou, Fei Wu
2023 A conf
ADT-FSE: A New Encoder for SZ.
SC
Tao Lu, Yu Zhong, Zibin Sun, Xiang Chen, You Zhou, Fei Wu, Ying Yang, Yunxin Huang, Yafei Yang
2023 J jnl
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data.
IEEE Trans. Big Data
Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He
2020 — conf
Adaptively Compressing IoT Data on the Resource-constrained Edge.
HotEdge
Tao Lu, Wen Xia, Xiangyu Zou, Qianbin Xia
2020 J jnl
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.
IEEE Trans. Parallel Distributed Syst.
Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2019 — conf
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.
HPCC/SmartCity/DSS
Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao
2019 Misc conf
Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms.
MSST
Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2018 J jnl
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.
IEEE Trans. Multi Scale Comput. Syst.
Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang
2018 A conf
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.
IPDPS
Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao
2017 C conf
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.
CLUSTER
Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
2017 — conf
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.
HotStorage
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
2017 J jnl
IOTune: A G-states Driver for Elastic Performance of Block Storage.
CoRR
Tao Lu, Ping Huang, Xubin He, Matthew Welch, Steven Gonzales, Ming Zhang
2017 B conf
Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior.
MASCOTS
Kun Tang, Ping Huang, Xubin He, Tao Lu, Sudharshan S. Vazhkudai, Devesh Tiwari
2016 B conf
Improve Restore Speed in Deduplication Systems Using Segregated Cache.
MASCOTS
Wenjie Liu, Ping Huang, Tao Lu, Xubin He, Hua Wang, Ke Zhou
2016 C conf
LAMS: A latency-aware memory scheduling policy for modern DRAM systems.
IPCCC
Wenjie Liu, Ping Huang, Tang Kun, Tao Lu, Ke Zhou, Chun-hua Li, Xubin He
2016 A* conf
Successor: Proactive cache warm-up of destination hosts in virtual machine migration contexts.
INFOCOM
Tao Lu, Ping Huang, Morgan Stuart, Yuhua Guo, Xubin He, Ming Zhang
2015 B conf
Alleviating DRAM Refresh Overhead Via Inter-rank Piggyback Caching.
MASCOTS
Yuhua Guo, Ping Huang, Benjamin Young, Tao Lu, Xubin He, Qing Gary Liu
2014 — conf
Alleviating I/O interference via caching and rate-controlled prefetching without degrading migration performance.
PDSW@SC
Morgan Stuart, Tao Lu, Xubin He
2014 — conf
Clique Migration: Affinity Grouping of Virtual Machines for Inter-cloud Live Migration.
NAS
Tao Lu, Morgan Stuart, Kun Tang, Xubin He