Volodymyr V. Kindratenko

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 41

Top Topics

Weakly Supervised

Computing Power

Longest Common Subsequence

Top Venues

Comput. Sci. Eng.

Publications

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A Huerta, Kibaek Kim, Ravi K. Madduri
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2. CoRR (2024)
Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar
Training Next Generation AI Users and Developers at NCSA. CoRR (2024)
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR (2024)
Shirui Luo, Aaron Saxton, Albert Bode, Priyam Mazumdar, Volodymyr V. Kindratenko
Critical Minerals Map Feature Extraction Using Deep Learning. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Priyam Mazumdar, Aiman Soliman, Volodymyr V. Kindratenko, Luigi Marini, Kenton McHenry
Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks. CoRR (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science (2023)
Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops (2023)
Amir Kazemi, Salar Basiri, Volodymyr V. Kindratenko, Srinivasa M. Salapaka
Sequence Generation via Subsequence Similarity: Theory and Application to UAV Identification. CoRR (2023)
Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang
YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. NeurIPS (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR (2023)
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4 (4) (2023)
Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar
Training Next-Generation Artificial Intelligence Users and Developers at NCSA. Comput. Sci. Eng. 25 (6) (2023)
Tingkai Liu, Marquita Ellis, Carlos H. A. Costa, Claudia Misale, Sara Kokkila Schumacher, Jinwook Jung, Gi-Joon Nam, Volodymyr V. Kindratenko
Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray. ISC Workshops (2023)
Alejandro Duque, Abdullah Syed, Kastan V. Day, Matthew J. Berry, Daniel S. Katz, Volodymyr V. Kindratenko
Leveraging Large Language Models to Build and Execute Computational Workflows. CoRR (2023)
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, E. A. Huerta, Kibaek Kim, Ravi K. Madduri
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR (2023)
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
FAIR AI Models in High Energy Physics. CoRR (2022)
E. A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR (2022)
Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-Mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (6) (2022)
Aiman Soliman, Yifan Chen, Shirui Luo, Rauf Makharov, Volodymyr V. Kindratenko
Weakly Supervised Segmentation of Buildings in Digital Elevation Models. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Eamon Bracht, Volodymyr V. Kindratenko, Robert J. Brunner
Sparse Spatio-Temporal Neural Network for Large-Scale Forecasting. Big Data (2022)
Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko
Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. ICTAI (2022)
Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko
Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. CoRR (2022)
Yifan Chen, E. A. Huerta, Javier M. Duarte, Philip C. Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR (2021)
Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko
Turbomachinery Blade Surrogate Modeling Using Deep Learning. ISC Workshops (2021)
Ashish Misra, Churan He, Volodymyr V. Kindratenko
Efficient HW and SW Interface Design for Convolutional Neural Networks Using High-Level Synthesis and TensorFlow. H2RC@SC (2021)
Anne C. Elster, Volodymyr V. Kindratenko
The European Factor: From ARM to Atos. Comput. Sci. Eng. 23 (1) (2021)
Miriam Leeser, Suranga Handagala, Michael Zink, Volodymyr V. Kindratenko, Anne C. Elster
FPGAs in the Cloud. Comput. Sci. Eng. 23 (6) (2021)
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko
AGNet: Weighing Black Holes with Deep Learning. CoRR (2021)
Murali Emani, Venkatram Vishwanath, Corey Adams, Michael E. Papka, Rick Stevens, Laura Florescu, Sumti Jairath, William Liu, Tejas Nama, Arvind Sujeeth, Volodymyr V. Kindratenko, Anne C. Elster
Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. Comput. Sci. Eng. 23 (2) (2021)
Daniel Lapine, Volodymyr V. Kindratenko, Luisa-Maria Rosu
NCSA Internship Program for Cyberinfrastructure Professionals. PEARC (2020)
Ramshankar Venkatakrishnan, Ashish Misra, Volodymyr V. Kindratenko, Anne C. Elster
High-Level Synthesis-Based Approach for Accelerating Scientific Codes on FPGAs. Comput. Sci. Eng. 22 (4) (2020)
Ashish Misra, Volodymyr V. Kindratenko
HLS-Based Acceleration Framework for Deep Convolutional Neural Networks. ARC (2020)
E. A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR (2020)
Volodymyr V. Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Benjamin Rabe, Ke Xu, Roy H. Campbell, Jian Peng, William Gropp
HAL: Computer System for Scalable Deep Learning. PEARC (2020)
E. A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. CoRR (2020)
Shirui Luo, Volodymyr V. Kindratenko
Hands-on with IBM Visual Insights. Comput. Sci. Eng. 22 (5) (2020)
Shirui Luo, Madhu Vellakal, Seid Koric, Volodymyr V. Kindratenko, Jiahuan Cui
Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network. ISC Workshops (2020)
E. A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J. Big Data 7 (1) (2020)
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR (2019)
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR (2019)
Sayed Hadi Hashemi, Paul Rausch, Benjamin Rabe, Kuan-Yen Chou, Simeng Liu, Volodymyr V. Kindratenko, Roy H. Campbell
tensorflow-tracing: A Performance Tuning Framework for Production. OpML (2019)
Volodymyr V. Kindratenko
Scientific Computing with GPUs. Comput. Sci. Eng. 14 (3) (2012)
Frederico Pratas, Pedro Trancoso, Leonel Sousa, Alexandros Stamatakis, Guochun Shi, Volodymyr V. Kindratenko
Fine-grain parallelism using multi-core, Cell/BE, and GPU Systems. Parallel Comput. 38 (8) (2012)
Volodymyr V. Kindratenko, Gregory D. Peterson
Application accelerators in HPC - Editorial introduction. Parallel Comput. 38 (8) (2012)
Volodymyr V. Kindratenko, Pedro Trancoso
Trends in High-Performance Computing. Comput. Sci. Eng. 13 (3) (2011)
Guochun Shi, Steven A. Gottlieb, Aaron Torok, Volodymyr V. Kindratenko
Design of MILC Lattice QCD Application for GPU Clusters. IPDPS (2011)
David A. Bader, David R. Kaeli, Volodymyr V. Kindratenko
Guest Editor's Introduction: Special Issue on High-Performance Computing with Accelerators. IEEE Trans. Parallel Distributed Syst. 22 (1) (2011)
Guochun Shi, Volodymyr V. Kindratenko, Rob Kooper, Peter Bajcsy
GPU acceleration of an image characterization algorithm for document similarity analysis. AICCSA (2011)
Jeremy Enos, Craig P. Steffen, Joshi Fullop, Michael T. Showerman, Guochun Shi, Kenneth Esler, Volodymyr V. Kindratenko, John E. Stone, James C. Phillips
Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters. Green Computing Conference (2010)
Guochun Shi, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martínez
Direct self-consistent field computations on GPU clusters. IPDPS (2010)
Volodymyr V. Kindratenko, Robert Wilhelmson, Robert J. Brunner, Todd J. Martínez, Wen-mei W. Hwu
High-Performance Computing with Accelerators. Comput. Sci. Eng. 12 (4) (2010)
Guochun Shi, Volodymyr V. Kindratenko, Frederico Pratas, Pedro Trancoso, Michael Gschwind
Application Acceleration with the Cell Broadband Engine. Comput. Sci. Eng. 12 (1) (2010)
Avneesh Pant, Hassan Jafri, Volodymyr V. Kindratenko
Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors. PDP (2009)
Guochun Shi, Volodymyr V. Kindratenko, Steven A. Gottlieb
The Bottom-Up Implementation of One MILC Lattice QCD Application on the Cell Blade. Int. J. Parallel Program. 37 (5) (2009)
Volodymyr V. Kindratenko
Novel Computing Architectures. Comput. Sci. Eng. 11 (3) (2009)
Ryan Cavis, Sever Tipei, Volodymyr V. Kindratenko
SoundMaker: a Web-Based Teaching Tool for Sound Design. ICMC (2009)
Volodymyr V. Kindratenko, Adam D. Myers, Robert J. Brunner
Implementation of the two-point angular correlation function on a high-performance reconfigurable computer. Sci. Program. 17 (3) (2009)
Dylan W. Roeh, Volodymyr V. Kindratenko, Robert J. Brunner
Accelerating cosmological data analysis with graphics processors. GPGPU (2009)
Volodymyr V. Kindratenko, Robert J. Brunner
Accelerating Cosmological Data Analysis with FPGAs. FCCM (2009)
Volodymyr V. Kindratenko, Jeremy Enos, Guochun Shi, Michael T. Showerman, Galen Wesley Arnold, John E. Stone, James C. Phillips, Wen-mei W. Hwu
GPU clusters for high-performance computing. CLUSTER (2009)
Guochun Shi, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martínez, James C. Phillips, Steven A. Gottlieb
Implementation of scientific computing applications on the Cell Broadband Engine. Sci. Program. 17 (1-2) (2009)
Guochun Shi, Volodymyr V. Kindratenko
Implementation of NAMD molecular dynamics non-bonded force-field on the cell broadband engine processor. IPDPS (2008)
Volodymyr V. Kindratenko, Duncan A. Buell
Reconfigurable Systems Summer Institute 2007. Parallel Comput. 34 (4-5) (2008)
Volodymyr V. Kindratenko, George K. Thiruvathukal, Steven A. Gottlieb
High-Performance Computing Applications on Novel Architectures. Comput. Sci. Eng. 10 (6) (2008)
Tarek A. El-Ghazawi, Esam El-Araby, Miaoqing Huang, Kris Gaj, Volodymyr V. Kindratenko, Duncan A. Buell
The Promise of High-Performance Reconfigurable Computing. Computer 41 (2) (2008)
Duncan A. Buell, Tarek A. El-Ghazawi, Kris Gaj, Volodymyr V. Kindratenko
Guest Editors' Introduction: High-Performance Reconfigurable Computing. Computer 40 (3) (2007)
Volodymyr V. Kindratenko, Robert J. Brunner, Adam D. Myers
Mitrion-C Application Development on SGI Altix 350/RC100. FCCM (2007)
Volodymyr V. Kindratenko, Craig P. Steffen, Robert J. Brunner
Accelerating Scientific Applications with Reconfigurable Computing: Getting Started. Comput. Sci. Eng. 9 (5) (2007)
Volodymyr V. Kindratenko, David Pointer
A case study in porting a production scientific supercomputing application to a reconfigurable computer. FCCM (2006)
Tarek A. El-Ghazawi, Duncan A. Buell, Volodymyr V. Kindratenko, Kris Gaj
M03 - Reconfigurable supercomputing. SC (2006)
Volodymyr V. Kindratenko
Code Partitioning for Reconfigurable High-Performance Computing: A Case Study. ERSA (2006)
Tarek A. El-Ghazawi, Dave Bennett, Daniel S. Poznanovic, Allan Cantle, Keith D. Underwood, Rob Pennington, Duncan A. Buell, Alan D. George, Volodymyr V. Kindratenko
Reconfigurable supercomputing - Is high-performance reconfigurable computing the next supercomputing paradigm? SC (2006)
Matthew Hall, Alex Betts, Donna J. Cox, David Pointer, Volodymyr V. Kindratenko
The Visible Radio: Process Visualization of a Software-Defined Radio. IEEE Visualization (2005)
Volodymyr V. Kindratenko, William R. Sherman
Neural network-based calibration of electromagnetic tracking systems. Virtual Real. 9 (1) (2005)
Donna J. Cox, Volodymyr V. Kindratenko, David Pointer
: Towards Providing Location-Aware Value-Added Services at Academic Conferences. UbiComp (2003)
Volodymyr V. Kindratenko
On Using Functions to Describe the Shape. J. Math. Imaging Vis. 18 (3) (2003)
Volodymyr V. Kindratenko
A Comparison of the Accuracy of an Electromagnetic and a Hybrid Ultrasound-Inertia Position Tracking System. Presence Teleoperators Virtual Environ. 10 (6) (2001)
Volodymyr V. Kindratenko
A survey of electromagnetic position tracker calibration techniques. Virtual Real. 5 (3) (2000)
Volodymyr V. Kindratenko, Angela Bennett
Evaluation of Rotation Correction Techniques for Electromagnetic Position Tracking Systems. EGVE (2000)
Volodymyr V. Kindratenko
Calibration of electromagnetic tracking devices. Virtual Real. 4 (2) (1999)
Volodymyr V. Kindratenko, Berthold Kirsch
Sharing virtual environments over a transatlantic ATM network in support of distant collaboration in vehicle design. EGVE (1998)
Volodymyr V. Kindratenko, Piet J. M. Van Espen
Classification of irregularly shaped micro-objects using complex Fourier descriptors. ICPR (1996)
Volodymyr V. Kindratenko, Boris A. Treiger, Piet J. M. Van Espen
Binarization of Inhomogeneously Illuminated Images. ICIAP (1995)