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ORCIDVolodymyr V. Kindratenko
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- affiliation: University of Illinois at Urbana-Champaign, USA
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2020 – today
- 2024
[c39]Yuan Ma, Scott Smith, Bill Gropp, Hubertus Franke, Bharat Sukhwani, Sameh W. Asaad, Jinjun Xiong, Volodymyr V. Kindratenko, Deming Chen:
UniNet: Accelerating the Container Network Data Plane in IaaS Clouds. CLOUD 2024: 115-127- [c38]Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen:
OS4C: An Open-Source SR-IOV System for SmartNIC-Based Cloud Platforms. CLOUD 2024: 365-375 - [c37]Tingkai Liu
, Huili Tao, Yicheng Lu, Zhongbo Zhu, Marquita Ellis, Sara Kokkila Schumacher, Volodymyr V. Kindratenko:
Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems. Euro-Par (1) 2024: 180-194 - [c36]Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen:
OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms. FCCM 2024: 218 - [c35]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 - [i16]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 abs/2402.12271 (2024) - [i15]Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar:
Training Next Generation AI Users and Developers at NCSA. CoRR abs/2406.14744 (2024) - 2023
- [j32]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): 28-32 (2023) - [j31]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: 1-5 (2023) - [j30]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:
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4(4): 45062 (2023) - [c34]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:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 2023: 1-4 - [c33]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 - [c32]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: 2097-2108 - [c31]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: 207-220 - [d2]Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr V. Kindratenko:
Character Face in Video. IEEE DataPort, 2023
- [i14]Amir Kazemi, Salar Basiri, Volodymyr V. Kindratenko, Srinivasa M. Salapaka:
Sequence Generation via Subsequence Similarity: Theory and Application to UAV Identification. CoRR abs/2301.08403 (2023) - [i13]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:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR abs/2308.08786 (2023) - [i12]Priyam Mazumdar, Aiman Soliman, Volodymyr V. Kindratenko, Luigi Marini, Kenton McHenry:
Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks. CoRR abs/2309.03367 (2023) - [i11]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. CoRR abs/2309.14675 (2023) - [i10]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 abs/2312.07711 (2023) - 2022
- [j29]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: 1-5 (2022) - [j28]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): 1606-1619 (2022) - [c30]Eamon Bracht, Volodymyr V. Kindratenko, Robert J. Brunner:
Sparse Spatio-Temporal Neural Network for Large-Scale Forecasting. IEEE Big Data 2022: 1-5 - [c29]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: 677-685 - [d1]Yifan Chen, Aiman Soliman, Volodymyr V. Kindratenko, Shirui Luo, Rauf Makharov:
DEM_building_Illinois. IEEE DataPort, 2022 - [i9]Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko:
Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. CoRR abs/2209.11477 (2022) - [i8]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:
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022) - [i7]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:
FAIR AI Models in High Energy Physics. CoRR abs/2212.05081 (2022) - 2021
- [j27]Anne C. Elster, Volodymyr V. Kindratenko:
The European Factor: From ARM to Atos. Comput. Sci. Eng. 23(1): 102-105 (2021) - [j26]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): 114-119 (2021) - [j25]Miriam Leeser, Suranga Handagala, Michael Zink, Volodymyr V. Kindratenko, Anne C. Elster:
FPGAs in the Cloud. Comput. Sci. Eng. 23(6): 72-76 (2021) - [c28]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: 1-8 - [c27]Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko:
Turbomachinery Blade Surrogate Modeling Using Deep Learning. ISC Workshops 2021: 92-104 - [i6]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:
A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR abs/2108.02214 (2021) - [i5]Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko:
AGNet: Weighing Black Holes with Deep Learning. CoRR abs/2108.07749 (2021) - 2020
- [j24]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): 104-109 (2020) - [j23]Shirui Luo, Volodymyr V. Kindratenko:
Hands-on with IBM Visual Insights. Comput. Sci. Eng. 22(5): 108-112 (2020) - [j22]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:
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J. Big Data 7(1): 88 (2020) - [c26]Ashish Misra, Volodymyr V. Kindratenko:
HLS-Based Acceleration Framework for Deep Convolutional Neural Networks. ARC 2020: 221-231 - [c25]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: 137-149 - [c24]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: 41-48 - [c23]Daniel Lapine, Volodymyr V. Kindratenko, Luisa-Maria Rosu:
NCSA Internship Program for Cyberinfrastructure Professionals. PEARC 2020: 414-420 - [i4]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:
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. CoRR abs/2003.08394 (2020) - [i3]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:
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR abs/2012.08545 (2020)
2010 – 2019
- 2019
- [c22]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: 31-33 - [i2]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:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i1]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:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2018
- [e4]Esam El-Araby, Dhabaleswar K. Panda, Sandra Gesing, Amy W. Apon, Volodymyr V. Kindratenko, Massimo Cafaro, Alfredo Cuzzocrea:
18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, Washington, DC, USA, May 1-4, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5815-4 [contents] - 2014
- [e3]Volodymyr V. Kindratenko:
Numerical Computations with GPUs. Springer 2014, ISBN 978-3-319-06547-2 [contents] - 2012
- [j21]Volodymyr V. Kindratenko:
Scientific Computing with GPUs. Comput. Sci. Eng. 14(3): 8-9 (2012) - [j20]Volodymyr V. Kindratenko, Gregory D. Peterson:
Application accelerators in HPC - Editorial introduction. Parallel Comput. 38(8): 343 (2012) - [j19]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): 365-390 (2012) - 2011
- [j18]Volodymyr V. Kindratenko, Pedro Trancoso:
Trends in High-Performance Computing. Comput. Sci. Eng. 13(3): 92-95 (2011) - [j17]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): 3-6 (2011) - [c21]Guochun Shi, Volodymyr V. Kindratenko, Rob Kooper, Peter Bajcsy:
GPU acceleration of an image characterization algorithm for document similarity analysis. AICCSA 2011: 209-216 - [c20]Guochun Shi, Steven A. Gottlieb, Aaron Torok, Volodymyr V. Kindratenko:
Design of MILC Lattice QCD Application for GPU Clusters. IPDPS 2011: 363-371 - 2010
- [j16]Guochun Shi, Volodymyr V. Kindratenko, Frederico Pratas, Pedro Trancoso, Michael Gschwind:
Application Acceleration with the Cell Broadband Engine. Comput. Sci. Eng. 12(1): 76-81 (2010) - [j15]Volodymyr V. Kindratenko, Robert B. Wilhelmson, Robert J. Brunner, Todd J. Martínez, Wen-mei W. Hwu:
High-Performance Computing with Accelerators. Comput. Sci. Eng. 12(4): 12-16 (2010) - [c19]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: 317-324 - [c18]Guochun Shi, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martínez:
Direct self-consistent field computations on GPU clusters. IPDPS 2010: 1-8
2000 – 2009
- 2009
- [j14]Volodymyr V. Kindratenko:
Novel Computing Architectures. Comput. Sci. Eng. 11(3): 54-57 (2009) - [j13]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): 488-507 (2009) - [j12]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): 135-151 (2009) - [j11]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): 247-259 (2009) - [c17]Dylan W. Roeh, Volodymyr V. Kindratenko, Robert J. Brunner:
Accelerating cosmological data analysis with graphics processors. GPGPU 2009: 1-8 - [c16]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: 1-8 - [c15]Volodymyr V. Kindratenko, Robert J. Brunner:
Accelerating Cosmological Data Analysis with FPGAs. FCCM 2009: 11-18 - [c14]Ryan Cavis, Sever Tipei, Volodymyr V. Kindratenko:
SoundMaker: a Web-Based Teaching Tool for Sound Design. ICMC 2009 - [c13]Avneesh Pant, Hassan Jafri, Volodymyr V. Kindratenko:
Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors. PDP 2009: 119-126 - [e2]Volodymyr V. Kindratenko, Tarek A. El-Ghazawi:
Proceedings of the Third International Workshop on High-Performance Reconfigurable Computing Technology and Applications, HPRTCA 2009, November 15, 2009, Portland, Oregon, USA. ACM 2009, ISBN 978-1-60558-721-9 [contents] - 2008
- [j10]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): 69-76 (2008) - [j9]Volodymyr V. Kindratenko, George K. Thiruvathukal, Steven A. Gottlieb:
High-Performance Computing Applications on Novel Architectures. Comput. Sci. Eng. 10(6): 13-15 (2008) - [j8]Volodymyr V. Kindratenko, Duncan A. Buell:
Reconfigurable Systems Summer Institute 2007. Parallel Comput. 34(4-5): 199-200 (2008) - [c12]Guochun Shi, Volodymyr V. Kindratenko:
Implementation of NAMD molecular dynamics non-bonded force-field on the cell broadband engine processor. IPDPS 2008: 1-8 - 2007
- [j7]Duncan A. Buell, Tarek A. El-Ghazawi, Kris Gaj, Volodymyr V. Kindratenko:
Guest Editors' Introduction: High-Performance Reconfigurable Computing. Computer 40(3): 23-27 (2007) - [j6]Volodymyr V. Kindratenko, Craig P. Steffen, Robert J. Brunner:
Accelerating Scientific Applications with Reconfigurable Computing: Getting Started. Comput. Sci. Eng. 9(5): 70-77 (2007) - [c11]Volodymyr V. Kindratenko, Robert J. Brunner, Adam D. Myers:
Mitrion-C Application Development on SGI Altix 350/RC100. FCCM 2007: 239-250 - [e1]Volodymyr V. Kindratenko, Tarek A. El-Ghazawi:
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. ACM Press 2007, ISBN 978-1-59593-894-7 [contents] - 2006
- [c10]Volodymyr V. Kindratenko:
Code Partitioning for Reconfigurable High-Performance Computing: A Case Study. ERSA 2006: 143-152 - [c9]Volodymyr V. Kindratenko, David Pointer:
A case study in porting a production scientific supercomputing application to a reconfigurable computer. FCCM 2006: 13-22 - [c8]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: 71 - [c7]Tarek A. El-Ghazawi, Duncan A. Buell, Volodymyr V. Kindratenko, Kris Gaj:
M03 - Reconfigurable supercomputing. SC 2006: 217 - 2005
- [j5]Volodymyr V. Kindratenko, William R. Sherman:
Neural network-based calibration of electromagnetic tracking systems. Virtual Real. 9(1): 70-78 (2005) - [c6]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: 159-165 - 2003
- [j4]Volodymyr V. Kindratenko:
On Using Functions to Describe the Shape. J. Math. Imaging Vis. 18(3): 225-245 (2003) - [c5]Donna J. Cox, Volodymyr V. Kindratenko, David Pointer:
IntelliBadgeTM: Towards Providing Location-Aware Value-Added Services at Academic Conferences. UbiComp 2003: 264-280 - 2001
- [j3]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): 657-663 (2001) - 2000
- [j2]Volodymyr V. Kindratenko:
A survey of electromagnetic position tracker calibration techniques. Virtual Real. 5(3): 169-182 (2000) - [c4]Volodymyr V. Kindratenko, Angela Bennett:
Evaluation of Rotation Correction Techniques for Electromagnetic Position Tracking Systems. EGVE 2000: 13-22
1990 – 1999
- 1999
- [j1]Volodymyr V. Kindratenko:
Calibration of electromagnetic tracking devices. Virtual Real. 4(2): 139-150 (1999) - 1998
- [c3]Volodymyr V. Kindratenko, Berthold Kirsch:
Sharing virtual environments over a transatlantic ATM network in support of distant collaboration in vehicle design. EGVE 1998: 151-161 - 1996
- [c2]Volodymyr V. Kindratenko, Piet J. M. Van Espen:
Classification of irregularly shaped micro-objects using complex Fourier descriptors. ICPR 1996: 285-289 - 1995
- [c1]Volodymyr V. Kindratenko, Boris A. Treiger, Piet J. M. Van Espen:
Binarization of Inhomogeneously Illuminated Images. ICIAP 1995: 483-487
Coauthor Index
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