Lipeng Wan

Orcid: 0000-0003-2347-8667

Affiliations:
  • Georgia State University, Atlanta, GA, USA
  • Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, TN, USA
  • University of Tennessee, Knoxville, TN, USA (PhD 2016)


According to our database1, Lipeng Wan authored at least 43 papers between 2012 and 2024.

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Bibliography

2024
Revisiting Erasure Codes: A Configuration Perspective.
Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems, 2024

2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023

Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching.
Proceedings of the 31st International Symposium on Modeling, 2023

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst., 2022

Understanding the Impact of Data Staging for Coupled Scientific Workflows.
IEEE Trans. Parallel Distributed Syst., 2022

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers, 2022

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

P-ckpt: Coordinated Prioritized Checkpointing.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2021

Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.
Proceedings of the International Conference for High Performance Computing, 2021

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2020

Visualization as a Service for Scientific Data.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

FTRANS: energy-efficient acceleration of transformers using FPGA.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Orchestrating Fault Prediction with Live Migration and Checkpointing.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2018
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks.
IEEE Trans. Veh. Technol., 2018

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
Optimizing the performance of sensor network programs through estimation-based code profiling.
Pervasive Mob. Comput., 2017

Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale hierarchical storage systems.
J. Parallel Distributed Comput., 2017

Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments.
Ad Hoc Networks, 2017

Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Exacution: Enhancing Scientific Data Management for Exascale.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

Extending Skel to Support the Development and Optimization of Next Generation I/O Systems.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2015
A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems.
Proceedings of the International Conference for High Performance Computing, 2015

Estimation-based profiling for code placement optimization in sensor network programs.
Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software, 2015

2014
SSD-optimized workload placement with adaptive learning and classification in HPC environments.
Proceedings of the IEEE 30th Symposium on Mass Storage Systems and Technologies, 2014

Towards approximate spatial queries for large-scale vehicle networks.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

2013
Towards Instruction Level Record and Replay of Sensor Network Applications.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

2012
PhoneCon: Voice-driven SmartPhone Controllable Wireless Sensor Networks.
Proceedings of the 31st IEEE International Performance Computing and Communications Conference, 2012


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