Artikler med mandater om offentlig tilgang - Lipeng WanLes mer
Ikke tilgjengelige noe sted: 4
Extending Skel to support the development and optimization of next generation I/O systems
J Logan, JY Choi, M Wolf, G Ostrouchov, L Wan, N Podhorszki, W Godoy, ...
2017 IEEE International Conference on Cluster Computing (CLUSTER), 563-571, 2017
Mandater: US National Science Foundation, US Department of Energy
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments
Q Cao, Y Feng, Z Lu, H Qi, LM Tolbert, L Wan, Z Wang, W Zhou
Ad hoc networks 66, 52-63, 2017
Mandater: US National Science Foundation
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments
X Wang, L Wan, S Klasky, D Zhao, F Yan
2023 IEEE International Conference on Cluster Computing (CLUSTER), 49-59, 2023
Mandater: US National Science Foundation, US Department of Energy
Optimizing the performance of sensor network programs through estimation-based code profiling
L Wan, Q Cao, W Zhou
Pervasive and Mobile Computing 42, 285-298, 2017
Mandater: US National Science Foundation
Tilgjengelige et eller annet sted: 36
Adios 2: The adaptable input output system. a framework for high-performance data management
WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ...
SoftwareX 12, 100561, 2020
Mandater: US Department of Energy
Mgard+: Optimizing multilevel methods for error-bounded scientific data reduction
X Liang, B Whitney, J Chen, L Wan, Q Liu, D Tao, J Kress, D Pugmire, ...
IEEE Transactions on Computers 71 (7), 1522-1536, 2021
Mandater: US Department of Energy
Optimizing Checkpoint Data Placement with Guaranteed Burst Buffer Endurance in Large-Scale Hierarchical Storage Systems
L Wan, Q Cao, F Wang, S Oral
Journal of Parallel and Distributed Computing, 2017
Mandater: US National Science Foundation, US Department of Energy
Comprehensive measurement and analysis of the user-perceived i/o performance in a production leadership-class storage system
L Wan, M Wolf, F Wang, JY Choi, G Ostrouchov, S Klasky
2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017
Mandater: US Department of Energy
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science
E Suchyta, S Klasky, N Podhorszki, M Wolf, A Adesoji, CS Chang, J Choi, ...
The International Journal of High Performance Computing Applications 36 (1 …, 2022
Mandater: US Department of Energy
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer
L Wan, M Wolf, F Wang, JY Choi, G Ostrouchov, S Klasky
2017 IEEE 19th International Conference on High Performance Computing and …, 2017
Mandater: US Department of Energy
Improving I/O performance for exascale applications through online data layout reorganization
L Wan, A Huebl, J Gu, F Poeschel, A Gainaru, R Wang, J Chen, X Liang, ...
IEEE Transactions on Parallel and Distributed Systems 33 (4), 878-890, 2021
Mandater: US Department of Energy, Federal Ministry of Education and Research, Germany
Accelerating multigrid-based hierarchical scientific data refactoring on gpus
J Chen, L Wan, X Liang, B Whitney, Q Liu, D Pugmire, N Thompson, ...
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
Mandater: US Department of Energy
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
F Poeschel, J E, WF Godoy, N Podhorszki, S Klasky, G Eisenhauer, ...
Smoky Mountains Computational Sciences and Engineering Conference, 99-118, 2021
Mandater: US Department of Energy, Federal Ministry of Education and Research, Germany
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition
X Liang, Q Gong, J Chen, B Whitney, L Wan, Q Liu, D Pugmire, ...
Proceedings of the International Conference for High Performance Computing …, 2021
Mandater: US Department of Energy
Online data analysis and reduction: An important co-design motif for extreme-scale computers
I Foster, M Ainsworth, J Bessac, F Cappello, J Choi, S Di, Z Di, AM Gok, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
Mandater: US Department of Energy
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
Q Gong, J Chen, B Whitney, X Liang, V Reshniak, T Banerjee, J Lee, ...
SoftwareX 24, 101590, 2023
Mandater: US Department of Energy
Extending the publish/subscribe abstraction for high-performance i/o and data management at extreme scale
J Logan, M Ainsworth, C Atkins, J Chen, JY Choi, J Gu, JM Kress, ...
Bulletin of the IEEE Technical Committee on Data Engineering 43 (1), 2020
Mandater: US Department of Energy
Maintaining trust in reduction: Preserving the accuracy of quantities of interest for lossy compression
Q Gong, X Liang, B Whitney, JY Choi, J Chen, L Wan, S Ethier, SH Ku, ...
Smoky Mountains Computational Sciences and Engineering Conference, 22-39, 2021
Mandater: US Department of Energy
A view from ORNL: Scientific data research opportunities in the big data age
S Klasky, M Wolf, M Ainsworth, C Atkins, J Choi, G Eisenhauer, B Geveci, ...
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
Mandater: US National Science Foundation, US Department of Energy
Data management challenges of exascale scientific simulations: A case study with the Gyrokinetic Toroidal Code and ADIOS
L Wan, KV Mehta, SA Klasky, MD Wolf, HY Wang, WH Wang, JC Li, Z Lin
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019
Mandater: US Department of Energy
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