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2020 – today
- 2024
[j14]Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska:
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet. Proc. VLDB Endow. 17(11): 3694-3706 (2024)- [c41]Vikram Nathan
, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska:
Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion 2024: 269-279 - [c40]Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska:
Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion 2024: 280-294 - [c39]Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu:
MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE 2024: 190-200 - [i17]Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska:
Stage: Query Execution Time Prediction in Amazon Redshift. CoRR abs/2403.02286 (2024) - [i16]Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu:
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR abs/2404.15668 (2024) - 2023
- [j13]Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu:
Moving small files in a networked environment. Future Gener. Comput. Syst. 139: 167-180 (2023) - [j12]Peng He, Rutian Bi, Lishuai Xu, Zhengchun Liu, Fan Yang, Wenbiao Wang, Zhengnan Cui, Jingshu Wang:
Evapotranspiration of Winter Wheat in the Semi-Arid Southeastern Loess Plateau Based on Multi-Source Satellite Data. Remote. Sens. 15(8): 2095 (2023) - [j11]Tao Hu, Qingteng Lai, Wen Fan, Yanke Zhang, Zhengchun Liu:
Advances in Portable Heavy Metal Ion Sensors. Sensors 23(8): 4125 (2023) - [c38]Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid 2023: 299-310 - [c37]Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu:
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. e-Science 2023: 1-10 - [c36]Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100 - [i15]Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma:
Rapid detection of rare events from in situ X-ray diffraction data using machine learning. CoRR abs/2312.03989 (2023) - 2022
- [j10]Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster:
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3(10): 100606 (2022) - [c35]Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu:
What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? CLUSTER 2022: 35-46 - [c34]Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu:
fairDMS: Rapid Model Training by Data and Model Reuse. CLUSTER 2022: 394-405 - [c33]Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster:
Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC 2022: 19-26 - [c32]Joaquin Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. HPDC 2022: 185-198 - [c31]Chengyi Qu, Joaquin Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu:
Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. INDIS@SC 2022: 25-31 - [c30]Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrián Macías, Chetan Tekur, Matthew Boyd:
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC 2022: 13-25 - [i14]Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster:
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR abs/2204.05128 (2022) - [i13]Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu:
fairDMS: Rapid Model Training by Data and Model Reuse. CoRR abs/2204.09805 (2022) - [i12]Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri:
Real-Time Streaming and Event-driven Control of Scientific Experiments. CoRR abs/2205.01476 (2022) - [i11]Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster:
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR abs/2207.00611 (2022) - [i10]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study. CoRR abs/2209.01356 (2022) - [i9]Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara:
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR abs/2209.09408 (2022) - 2021
- [j9]George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster:
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117: 387-400 (2021) - [j8]Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j7]Selin S. Aslan, Zhengchun Liu, Viktor V. Nikitin, Tekin Bicer, Sven Leyffer, Doga Gürsoy:
Joint ptycho-tomography with deep generative priors. Mach. Learn. Sci. Technol. 2(4): 45017 (2021) - [j6]Zhengchun Liu, Zhanjun Xu, Rutian Bi, Chao Wang, Peng He, Yaodong Jing, Wude Yang:
Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model. Sensors 21(4): 1247 (2021) - [j5]Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer across Diverse Storage. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(1): 3:1-3:25 (2021) - [c29]Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster:
3d Autoencoders For Feature Extraction In X-Ray Tomography. ICIP 2021: 3477-3481 - [c28]Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Cross Inference of Throughput Profiles Using Micro Kernel Network Method. MLN 2021: 48-68 - [c27]Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster:
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC 2021: 247-261 - [c26]Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster:
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC 2021: 15-23 - [i8]Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi:
Fast and accurate learned multiresolution dynamical downscaling for precipitation. CoRR abs/2101.06813 (2021) - [i7]Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster:
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. CoRR abs/2105.13967 (2021) - [i6]Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes. CoRR abs/2106.12091 (2021) - 2020
- [c25]Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka:
Characterization and identification of HPC applications at leadership computing facility. ICS 2020: 29:1-29:12 - [c24]Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari:
Job characteristics on large-scale systems: long-term analysis, quantification, and implications. SC 2020: 84 - [c23]Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster:
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements. MLHPC/AI4S@SC 2020: 88-95 - [i5]Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster:
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning. CoRR abs/2008.08198 (2020) - [i4]Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. CoRR abs/2009.03190 (2020)
2010 – 2019
- 2019
- [c22]Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao:
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData 2019: 4381-4389 - [c21]Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster:
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. CCGRID 2019: 122-131 - [c20]Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Toward an Elastic Data Transfer Infrastructure. eScience 2019: 262-265 - [c19]Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Measurements and analytics of wide-area file transfers over dedicated connections. ICDCN 2019: 183-192 - [c18]Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud. ICNP 2019: 1-2 - [c17]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses. MLN 2019: 154-174 - [c16]Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. XLOOP@SC 2019: 8-13 - [c15]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements. INDIS@SC 2019: 17-24 - [c14]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. DLS@SC 2019: 20-28 - [i3]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster:
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks. CoRR abs/1902.07582 (2019) - [i2]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. CoRR abs/1910.04081 (2019) - [i1]Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. CoRR abs/1911.05878 (2019) - 2018
- [j4]Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello:
Transferring a petabyte in a day. Future Gener. Comput. Syst. 88: 191-198 (2018) - [j3]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Peter H. Beckman:
Toward a smart data transfer node. Future Gener. Comput. Syst. 89: 10-18 (2018) - [c13]Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary:
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC 2018: 2:1-2:9 - [c12]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao:
Cross-geography scientific data transferring trends and behavior. HPDC 2018: 267-278 - [c11]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Yuanlai Liu:
A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility. ICDCS 2018: 1604-1611 - [c10]Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Learning Concave-Convex Profiles of Data Transport over Dedicated Connections. MLN 2018: 1-22 - [c9]Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian T. Foster:
Building a Wide-Area File Transfer Performance Predictor: An Empirical Study. MLN 2018: 56-78 - [c8]Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Throughput Analytics of Data Transfer Infrastructures. TRIDENTCOM 2018: 20-40 - 2017
- [j2]Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque:
A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity. Comput. Ind. Eng. 103: 300-309 (2017) - [j1]Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque:
An agent-based model for quantitatively analyzing and predicting the complex behavior of emergency departments. J. Comput. Sci. 21: 11-23 (2017) - [c7]Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, Ian T. Foster:
A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices. eScience 2017: 148-157 - [c6]Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster:
Explaining Wide Area Data Transfer Performance. HPDC 2017: 167-178 - [c5]Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque:
Support managing population aging stress of emergency departments in a computational way. ICCS 2017: 149-158 - 2016
- [b1]Zhengchun Liu:
Modeling and simulation for healthcare operations management using high performance computing and agent-based model. Autonomous University of Barcelona, Spain, 2016 - 2015
- [c4]Zhengchun Liu, Eduardo Cabrera, Manel Taboada, Francisco Epelde, Dolores Rexachs, Emilio Luque:
Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems. ICCS 2015: 433-442 - [c3]Xueping Zhu, Zhengchun Liu, Jun Yang:
Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study. ICCS 2015: 493-502 - [c2]Zhengchun Liu, Dolores Rexachs, Emilio Luque, Francisco Epelde, Eduardo Cabrera:
Simulating the micro-level behavior of emergency department for macro-level features prediction. WSC 2015: 171-182 - 2013
- [c1]Xueping Zhu, Zhengchun Liu, Jun Yang:
Research on Co-simulation Method in ADAMS and MATLAB for Missile Seeker's Stabilization Platform Design. AsiaSim 2013: 105-113
Coauthor Index
Rajkumar Kettimuthu
aka: Raj Kettimuthu
aka: Raj Kettimuthu
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