Volodymyr V. Kindratenko

109 papers A* 3A 6B 7C 5Misc 6Journal 59Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI Model Serving on HPC Infrastructure. eScience Rohan Marwaha, Qinren Zhou, Kastan Day, Volodymyr V. Kindratenko
2025	—	`conf`	Cost-Aware Federated Learning on the Cloud. eScience Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri
2025	—	`conf`	Diamond: Harnessing GPU Resources for Scientific Deep Learning. eScience Haotian Xie, Rohan Marwaha, Minu Mathew, Song Bian, Gengcong Yang, Minghao Yan, Yadu N. Babuji, Owen Price, Yinzhi Wang, Volodymyr V. Kindratenko, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2025	J	`jnl`	Diff-Ensembler: Learning to Ensemble 2D Diffusion Models for Volume-to-Volume Medical Image Translation. CoRR Xiyue Zhu, Dou Hoon Kwark, Ruike Zhu, Kaiwen Hong, Yiqi Tao, Shirui Luo, Yudu Li, Zhi-Pei Liang, Volodymyr V. Kindratenko
2025	J	`jnl`	Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks. CoRR Ayush Khot, Xiwei Wang, Avik Roy, Volodymyr V. Kindratenko, Mark S. Neubauer
2025	J	`jnl`	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud. CoRR Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri
2025	—	`conf`	Frameworks for Large Language Model Serving in HPC Environments. SC Workshops Rohan Marwaha, Qinren Zhou, Kastan Day, Asmita Dabholkar, Volodymyr V. Kindratenko
2025	J	`jnl`	Hierarchical Diffusion Framework for Pseudo-Healthy Brain MRI Inpainting with Enhanced 3D Consistency. CoRR Dou Hoon Kwark, Shirui Luo, Xiyue Zhu, Yudu Li, Zhi-Pei Liang, Volodymyr V. Kindratenko
2025	—	`conf`	Hierarchical Diffusion Framework for Pseudo-healthy Brain MRI Inpainting with Enhanced 3D Consistency. DGM4MICCAI@MICCAI Dou Hoon Kwark, Shirui Luo, Xiyue Zhu, Yudu Li, Zhi-Pei Liang, Volodymyr V. Kindratenko
2025	A*	`conf`	Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion. ICML Xiyue Zhu, Dou Hoon Kwark, Ruike Zhu, Kaiwen Hong, Yiqi Tao, Shirui Luo, Yudu Li, Zhi-Pei Liang, Volodymyr V. Kindratenko
2025	J	`jnl`	Neural reservoir control of a soft bio-hybrid arm. CoRR Noel M. Naughton, Arman Tekinalp, Keshav Shivam, Seung Hung Kim, Volodymyr V. Kindratenko, Mattia Gazzola
2025	—	`conf`	ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study. ACL (Findings) Eric Modesitt, Ke Yang, Spencer Hulsey, Xin Liu, ChengXiang Zhai, Volodymyr V. Kindratenko
2025	J	`jnl`	TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment. CoRR Ke Yang, Volodymyr V. Kindratenko, ChengXiang Zhai
2024	J	`jnl`	AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization. CoRR Amir Kazemi, Qurat ul ain Fatima, Volodymyr V. Kindratenko, Christopher Tessum
2024	—	`conf`	Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems. Euro-Par (1) Tingkai Liu, Huili Tao, Yicheng Lu, Zhongbo Zhu, Marquita Ellis, Sara Kokkila Schumacher, Volodymyr V. Kindratenko
2024	A*	`conf`	FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024	J	`jnl`	ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study. CoRR Eric Modesitt, Ke Yang, Spencer Hulsey, ChengXiang Zhai, Volodymyr V. Kindratenko
2024	B	`conf`	OS4C: An Open-Source SR-IOV System for SmartNIC-Based Cloud Platforms. CLOUD Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen
2024	Misc	`conf`	OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms. FCCM Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen
2024	J	`jnl`	RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration. CoRR Boyao Wang, Volodymyr V. Kindratenko
2024	J	`jnl`	Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2. CoRR Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024	J	`jnl`	Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2. Comput. Sci. Eng. Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024	J	`jnl`	Training Next Generation AI Users and Developers at NCSA. CoRR Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar
2024	J	`jnl`	Transforming the Hybrid Cloud for Emerging AI Workloads. CoRR Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar
2024	B	`conf`	UniNet: Accelerating the Container Network Data Plane in IaaS Clouds. CLOUD Yuan Ma, Scott Smith, Bill Gropp, Hubertus Franke, Bharat Sukhwani, Sameh W. Asaad, Jinjun Xiong, Volodymyr V. Kindratenko, Deming Chen
2023	B	`conf`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023	J	`jnl`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023	—	`conf`	Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray. ISC Workshops Tingkai Liu, Marquita Ellis, Carlos H. A. Costa, Claudia Misale, Sara Kokkila Schumacher, Jinwook Jung, Gi-Joon Nam, Volodymyr V. Kindratenko
2023	J	`jnl`	Critical Minerals Map Feature Extraction Using Deep Learning. IEEE Geosci. Remote. Sens. Lett. Shirui Luo, Aaron Saxton, Albert Bode, Priyam Mazumdar, Volodymyr V. Kindratenko
2023	J	`jnl`	FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu 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
2023	J	`jnl`	FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2023	J	`jnl`	Leveraging Large Language Models to Build and Execute Computational Workflows. CoRR Alejandro Duque, Abdullah Syed, Kastan V. Day, Matthew J. Berry, Daniel S. Katz, Volodymyr V. Kindratenko
2023	—	`conf`	Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops 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
2023	J	`jnl`	Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks. CoRR Priyam Mazumdar, Aiman Soliman, Volodymyr V. Kindratenko, Luigi Marini, Kenton McHenry
2023	J	`jnl`	Sequence Generation via Subsequence Similarity: Theory and Application to UAV Identification. CoRR Amir Kazemi, Salar Basiri, Volodymyr V. Kindratenko, Srinivasa M. Salapaka
2023	J	`jnl`	Training Next-Generation Artificial Intelligence Users and Developers at NCSA. Comput. Sci. Eng. Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar
2023	A*	`conf`	YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. NeurIPS Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher M. Zallek, Yu-Xiong Wang
2022	J	`jnl`	Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen
2022	J	`jnl`	FAIR AI Models in High Energy Physics. CoRR Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu 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
2022	J	`jnl`	FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR Eliu 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
2022	B	`conf`	Sparse Spatio-Temporal Neural Network for Large-Scale Forecasting. IEEE Big Data Eamon Bracht, Volodymyr V. Kindratenko, Robert J. Brunner
2022	J	`jnl`	Weakly Supervised Segmentation of Buildings in Digital Elevation Models. IEEE Geosci. Remote. Sens. Lett. Aiman Soliman, Yifan Chen, Shirui Luo, Rauf Makharov, Volodymyr V. Kindratenko
2022	B	`conf`	Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. ICTAI Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko
2022	J	`jnl`	Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. CoRR Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko
2021	J	`jnl`	A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR Yifan Chen, Eliu 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
2021	J	`jnl`	AGNet: Weighing Black Holes with Deep Learning. CoRR Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko
2021	J	`jnl`	Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. Comput. Sci. Eng. 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
2021	—	`conf`	Efficient HW and SW Interface Design for Convolutional Neural Networks Using High-Level Synthesis and TensorFlow. H2RC@SC Ashish Misra, Churan He, Volodymyr V. Kindratenko
2021	J	`jnl`	FPGAs in the Cloud. Comput. Sci. Eng. Miriam Leeser, Suranga Handagala, Michael Zink, Volodymyr V. Kindratenko, Anne C. Elster
2021	J	`jnl`	The European Factor: From ARM to Atos. Comput. Sci. Eng. Anne C. Elster, Volodymyr V. Kindratenko
2021	—	`conf`	Turbomachinery Blade Surrogate Modeling Using Deep Learning. ISC Workshops Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko
2020	J	`jnl`	Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR Eliu 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
2020	J	`jnl`	Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. CoRR Eliu 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
2020	J	`jnl`	Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J. Big Data Eliu 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
2020	—	`conf`	HAL: Computer System for Scalable Deep Learning. PEARC Volodymyr V. Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Benjamin Rabe, Ke Xu, Roy H. Campbell, Jian Peng, William Gropp
2020	—	`conf`	HLS-Based Acceleration Framework for Deep Convolutional Neural Networks. ARC Ashish Misra, Volodymyr V. Kindratenko
2020	J	`jnl`	Hands-on with IBM Visual Insights. Comput. Sci. Eng. Shirui Luo, Volodymyr V. Kindratenko
2020	J	`jnl`	High-Level Synthesis-Based Approach for Accelerating Scientific Codes on FPGAs. Comput. Sci. Eng. Ramshankar Venkatakrishnan, Ashish Misra, Volodymyr V. Kindratenko, Anne C. Elster
2020	—	`conf`	NCSA Internship Program for Cyberinfrastructure Professionals. PEARC Daniel Lapine, Volodymyr V. Kindratenko, Luisa-Maria Rosu
2020	—	`conf`	Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network. ISC Workshops Shirui Luo, Madhu Vellakal, Seid Koric, Volodymyr V. Kindratenko, Jiahuan Cui
2019	J	`jnl`	Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR 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, Eliu 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 S. 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
2019	J	`jnl`	Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR Eliu 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 S. 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
2019	—	`conf`	tensorflow-tracing: A Performance Tuning Framework for Production. OpML Sayed Hadi Hashemi, Paul Rausch, Benjamin Rabe, Kuan-Yen Chou, Simeng Liu, Volodymyr V. Kindratenko, Roy H. Campbell
2018	B	`ed.`	18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, Washington, DC, USA, May 1-4, 2018 CCGRID Esam El-Araby, Dhabaleswar K. Panda, Sandra Gesing, Amy W. Apon, Volodymyr V. Kindratenko, Massimo Cafaro, Alfredo Cuzzocrea
2014	—	`book`	Numerical Computations with GPUs Volodymyr V. Kindratenko
2012	J	`jnl`	Application accelerators in HPC - Editorial introduction. Parallel Comput. Volodymyr V. Kindratenko, Gregory D. Peterson
2012	J	`jnl`	Fine-grain parallelism using multi-core, Cell/BE, and GPU Systems. Parallel Comput. Frederico Pratas, Pedro Trancoso, Leonel Sousa, Alexandros Stamatakis, Guochun Shi, Volodymyr V. Kindratenko
2012	J	`jnl`	Scientific Computing with GPUs. Comput. Sci. Eng. Volodymyr V. Kindratenko
2011	A	`conf`	Design of MILC Lattice QCD Application for GPU Clusters. IPDPS Guochun Shi, Steven A. Gottlieb, Aaron Torok, Volodymyr V. Kindratenko
2011	C	`conf`	GPU acceleration of an image characterization algorithm for document similarity analysis. AICCSA Guochun Shi, Volodymyr V. Kindratenko, Rob Kooper, Peter Bajcsy
2011	J	`jnl`	Guest Editor's Introduction: Special Issue on High-Performance Computing with Accelerators. IEEE Trans. Parallel Distributed Syst. David A. Bader, David R. Kaeli, Volodymyr V. Kindratenko
2011	J	`jnl`	Trends in High-Performance Computing. Comput. Sci. Eng. Volodymyr V. Kindratenko, Pedro Trancoso
2010	J	`jnl`	Application Acceleration with the Cell Broadband Engine. Comput. Sci. Eng. Guochun Shi, Volodymyr V. Kindratenko, Frederico Pratas, Pedro Trancoso, Michael Gschwind
2010	A	`conf`	Direct self-consistent field computations on GPU clusters. IPDPS Guochun Shi, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martínez
2010	J	`jnl`	High-Performance Computing with Accelerators. Comput. Sci. Eng. Volodymyr V. Kindratenko, Robert B. Wilhelmson, Robert J. Brunner, Todd J. Martínez, Wen-mei W. Hwu
2010	—	`conf`	Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters. Green Computing Conference Jeremy Enos, Craig P. Steffen, Joshi Fullop, Michael T. Showerman, Guochun Shi, Kenneth Esler, Volodymyr V. Kindratenko, John E. Stone, James C. Phillips
2009	Misc	`conf`	Accelerating Cosmological Data Analysis with FPGAs. FCCM Volodymyr V. Kindratenko, Robert J. Brunner
2009	—	`conf`	Accelerating cosmological data analysis with graphics processors. GPGPU Dylan W. Roeh, Volodymyr V. Kindratenko, Robert J. Brunner
2009	C	`conf`	GPU clusters for high-performance computing. CLUSTER Volodymyr V. Kindratenko, Jeremy Enos, Guochun Shi, Michael T. Showerman, Galen Wesley Arnold, John E. Stone, James C. Phillips, Wen-mei W. Hwu
2009	J	`jnl`	Implementation of scientific computing applications on the Cell Broadband Engine. Sci. Program. Guochun Shi, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martínez, James C. Phillips, Steven A. Gottlieb
2009	J	`jnl`	Implementation of the two-point angular correlation function on a high-performance reconfigurable computer. Sci. Program. Volodymyr V. Kindratenko, Adam D. Myers, Robert J. Brunner
2009	J	`jnl`	Novel Computing Architectures. Comput. Sci. Eng. Volodymyr V. Kindratenko
2009	C	`conf`	Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors. PDP Avneesh Pant, Hassan Jafri, Volodymyr V. Kindratenko
2009	—	`ed.`	Proceedings of the Third International Workshop on High-Performance Reconfigurable Computing Technology and Applications, HPRTCA 2009, November 15, 2009, Portland, Oregon, USA HPRCTA@SC Volodymyr V. Kindratenko, Tarek A. El-Ghazawi
2009	—	`conf`	SoundMaker: a Web-Based Teaching Tool for Sound Design. ICMC Ryan Cavis, Sever Tipei, Volodymyr V. Kindratenko
2009	J	`jnl`	The Bottom-Up Implementation of One MILC Lattice QCD Application on the Cell Blade. Int. J. Parallel Program. Guochun Shi, Volodymyr V. Kindratenko, Steven A. Gottlieb
2008	J	`jnl`	High-Performance Computing Applications on Novel Architectures. Comput. Sci. Eng. Volodymyr V. Kindratenko, George K. Thiruvathukal, Steven A. Gottlieb
2008	A	`conf`	Implementation of NAMD molecular dynamics non-bonded force-field on the cell broadband engine processor. IPDPS Guochun Shi, Volodymyr V. Kindratenko
2008	J	`jnl`	Reconfigurable Systems Summer Institute 2007. Parallel Comput. Volodymyr V. Kindratenko, Duncan A. Buell
2008	J	`jnl`	The Promise of High-Performance Reconfigurable Computing. Computer Tarek A. El-Ghazawi, Esam El-Araby, Miaoqing Huang, Kris Gaj, Volodymyr V. Kindratenko, Duncan A. Buell
2007	J	`jnl`	Accelerating Scientific Applications with Reconfigurable Computing: Getting Started. Comput. Sci. Eng. Volodymyr V. Kindratenko, Craig P. Steffen, Robert J. Brunner
2007	J	`jnl`	Guest Editors' Introduction: High-Performance Reconfigurable Computing. Computer Duncan A. Buell, Tarek A. El-Ghazawi, Kris Gaj, Volodymyr V. Kindratenko
2007	Misc	`conf`	Mitrion-C Application Development on SGI Altix 350/RC100. FCCM Volodymyr V. Kindratenko, Robert J. Brunner, Adam D. Myers
2007	—	`ed.`	Proceedings of the 1st international workshop on High-performance reconfigurable computing technology and applications, HPRCTA 2007,held in conjunction with SC07, Reno, Nevada, USA, November 11, 2007 HPRCTA Volodymyr V. Kindratenko, Tarek A. El-Ghazawi
2006	Misc	`conf`	A case study in porting a production scientific supercomputing application to a reconfigurable computer. FCCM Volodymyr V. Kindratenko, David Pointer
2006	—	`conf`	Code Partitioning for Reconfigurable High-Performance Computing: A Case Study. ERSA Volodymyr V. Kindratenko
2006	A	`conf`	M03 - Reconfigurable supercomputing. SC Tarek A. El-Ghazawi, Duncan A. Buell, Volodymyr V. Kindratenko, Kris Gaj
2006	A	`conf`	Reconfigurable supercomputing - Is high-performance reconfigurable computing the next supercomputing paradigm? SC 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
2005	J	`jnl`	Neural network-based calibration of electromagnetic tracking systems. Virtual Real. Volodymyr V. Kindratenko, William R. Sherman
2005	A	`conf`	The Visible Radio: Process Visualization of a Software-Defined Radio. IEEE Visualization Matthew Hall, Alex Betts, Donna J. Cox, David Pointer, Volodymyr V. Kindratenko
2003	Misc	`conf`	IntelliBadge UbiComp Donna J. Cox, Volodymyr V. Kindratenko, David Pointer
2003	J	`jnl`	On Using Functions to Describe the Shape. J. Math. Imaging Vis. Volodymyr V. Kindratenko
2001	J	`jnl`	A Comparison of the Accuracy of an Electromagnetic and a Hybrid Ultrasound-Inertia Position Tracking System. Presence Teleoperators Virtual Environ. Volodymyr V. Kindratenko
2000	J	`jnl`	A survey of electromagnetic position tracker calibration techniques. Virtual Real. Volodymyr V. Kindratenko
2000	C	`conf`	Evaluation of Rotation Correction Techniques for Electromagnetic Position Tracking Systems. EGVE Volodymyr V. Kindratenko, Angela Bennett
1999	J	`jnl`	Calibration of electromagnetic tracking devices. Virtual Real. Volodymyr V. Kindratenko
1998	C	`conf`	Sharing virtual environments over a transatlantic ATM network in support of distant collaboration in vehicle design. EGVE Volodymyr V. Kindratenko, Berthold Kirsch
1996	B	`conf`	Classification of irregularly shaped micro-objects using complex Fourier descriptors. ICPR Volodymyr V. Kindratenko, Piet J. M. Van Espen
1995	Misc	`conf`	Binarization of Inhomogeneously Illuminated Images. ICIAP Volodymyr V. Kindratenko, Boris A. Treiger, Piet J. M. Van Espen