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Rajkumar Kettimuthu
- > Home > Persons > Rajkumar Kettimuthu
Publications
- 2023
- [j22]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) - [c119]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 - [c118]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 - [i14]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
- [c113]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 - [c112]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 - [c111]Joaquín 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 - [c109]Chengyi Qu, Joaquín Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu:
Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. INDIS@SC 2022: 25-31 - [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) - [i11]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) - 2021
- [j18]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) - [j17]Zhengchun Liu, Rajkumar Kettimuthu, Joaquín 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) - [c103]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 - [c101]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 - [i10]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) - [i8]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
- [c97]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 - [c93]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 - [i6]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) - [i5]Zhengchun Liu, Rajkumar Kettimuthu, Joaquín 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) - 2019
- [c92]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 - [c91]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 - [c90]Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Toward an Elastic Data Transfer Infrastructure. eScience 2019: 262-265 - [c89]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 - [c88]Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud. ICNP 2019: 1-2 - [c87]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 - [c86]Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. XLOOP@SC 2019: 8-13 - [c85]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 - [c84]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
- [j11]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) - [j10]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Peter H. Beckman:
Toward a smart data transfer node. Future Gener. Comput. Syst. 89: 10-18 (2018) - [c79]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 - [c76]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao:
Cross-geography scientific data transferring trends and behavior. HPDC 2018: 267-278 - [c73]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 - [c72]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 - [c71]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 - [c69]Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Throughput Analytics of Data Transfer Infrastructures. TRIDENTCOM 2018: 20-40 - 2017
- [c67]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 - [c65]Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster:
Explaining Wide Area Data Transfer Performance. HPDC 2017: 167-178
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