Tao Lu

According to our database, Tao Lu authored at least 27 papers between 2014 and 2026.

Collaborative distances:

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

2026

Computational Burst Buffers: Accelerating HPC I/O via In-Storage Compression Offloading.

Xiang Chen, Bing Lu, Haoquan Long, Huizhang Luo, Yili Ma, Guangming Tan, Dingwen Tao, Fei Wu, Tao Lu

IEEE Trans. Parallel Distributed Syst., February, 2026

ASIC-based Compression Accelerators for Storage Systems: Design, Placement, and Profiling Insights.

Tao Lu, Jiapin Wang, Yelin Shan, Xiangping Zhang, Xiang Chen

Proceedings of the 21st European Conference on Computer Systems, 2026

CEMU: Enabling Full-System Emulation of Computational Storage Beyond Hardware Limits.

Qiuyang Zhang, Jiapin Wang, You Zhou, Peng Xu, Kai Lu, Jiguang Wan, Fei Wu, Tao Lu

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Garbage Collection Does Not Only Collect Garbage: Piggybacking-Style Defragmentation for Deduplicated Backup Storage.

Dingbang Liu, Xiangyu Zou, Tao Lu, Philip Shilane, Wen Xia, Wenxuan Huang, Yanqi Pan, Hao Huang

Proceedings of the Twentieth European Conference on Computer Systems, 2025

StreamCSD: SSD-Autonomous Stream Management via In-Storage Content Learning.

Wenjie Li, Xiang Chen, Yelin Shan, Jiapin Wang, Yunxin Huang, Yafei Yang, Tao Lu, You Zhou, Fei Wu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

A Unified Computational Storage and Memory Architecture in the CXL Era.

Xiang Chen, Fei Wu, Tao Lu

Proceedings of the International Conference on Networking, Architecture and Storage, 2024

An SR-IOV SSD Optimized for QoS-Sensitive IaaS Cloud Storage.

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

HA-CSD: Host and SSD Coordinated Compression for Capacity and Performance.

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Balloon-ZNS: Constructing High-Capacity and Low-Cost ZNS SSDs with Built-in Compression.

Yu Wang, Zibin Sun, You Zhou, Tao Lu, Changsheng Xie, Fei Wu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data.

Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He

IEEE Trans. Big Data, February, 2023

ADT-FSE: A New Encoder for SZ.

Tao Lu, Yu Zhong, Zibin Sun, Xiang Chen, You Zhou, Fei Wu, Ying Yang, Yunxin Huang, Yafei Yang

Proceedings of the International Conference for High Performance Computing, 2023

2020

Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.

Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello

IEEE Trans. Parallel Distributed Syst., 2020

Adaptively Compressing IoT Data on the Resource-constrained Edge.

Tao Lu, Wen Xia, Xiangyu Zou, Qianbin Xia

Proceedings of the 3rd USENIX Workshop on Hot Topics in Edge Computing, 2020

2019

Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms.

Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello

Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019

Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.

Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.

Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang

IEEE Trans. Multi Scale Comput. Syst., 2018

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.

Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

IOTune: A G-states Driver for Elastic Performance of Block Storage.

Tao Lu, Ping Huang, Xubin He, Matthew Welch, Steven Gonzales, Ming Zhang

CoRR, 2017

Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior.

Kun Tang, Ping Huang, Xubin He, Tao Lu, Sudharshan S. Vazhkudai, Devesh Tiwari

Proceedings of the 25th IEEE International Symposium on Modeling, 2017

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.

Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth

Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.

Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Improve Restore Speed in Deduplication Systems Using Segregated Cache.

Wenjie Liu, Ping Huang, Tao Lu, Xubin He, Hua Wang, Ke Zhou

Proceedings of the 24th IEEE International Symposium on Modeling, 2016

LAMS: A latency-aware memory scheduling policy for modern DRAM systems.

Wenjie Liu, Ping Huang, Tang Kun, Tao Lu, Ke Zhou, Chun-hua Li, Xubin He

Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016

Successor: Proactive cache warm-up of destination hosts in virtual machine migration contexts.

Tao Lu, Ping Huang, Morgan Stuart, Yuhua Guo, Xubin He, Ming Zhang

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015

Alleviating DRAM Refresh Overhead Via Inter-rank Piggyback Caching.

Yuhua Guo, Ping Huang, Benjamin Young, Tao Lu, Xubin He, Qing Gary Liu

Proceedings of the 23rd IEEE International Symposium on Modeling, 2015

2014

Alleviating I/O interference via caching and rate-controlled prefetching without degrading migration performance.

Morgan Stuart, Tao Lu, Xubin He

Proceedings of the 9th Parallel Data Storage Workshop, 2014

Clique Migration: Affinity Grouping of Virtual Machines for Inter-cloud Live Migration.

Tao Lu, Morgan Stuart, Kun Tang, Xubin He

Proceedings of the 9th IEEE International Conference on Networking, 2014