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Volodymyr Kindratenko

Observed names: Kindratenko, Kindratenko, Volodymyr, Kindratenko, Volodymyr V., V Kindratenko, V. Kindratenko, V.V. Kindratenko, Volodimir Kindratenko, Volodymyr V Kindratenko, Volodymyr V. Kindratenko
Observed institutions: University of Antwerp, University of Illinois Urbana-Champaign, George Mason University, National Center for Supercomputing Applications, University of Illinois System, University of Illinois Chicago, Indiana University Bloomington, National Center for Supercomputing Applications, Chan Zuckerberg Biohub Chicago
ORCID: 0000-0002-9336-4756
Observed ORCID: 0000-0002-9336-4756
OpenAlex ID: A5060025664
GPU clusters for high-performance computing
2009 · Volodymyr V. Kindratenko, Jeremy J. Enos, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 231
The Promise of High-Performance Reconfigurable Computing
2008 · T. El-Ghazawi, E. El-Araby, et al. · Computer · 161
A survey of electromagnetic position tracker calibration techniques
2000 · Volodymyr V. Kindratenko · Virtual Reality · 152
FAIR for AI: An interdisciplinary and international community building perspective
2023 · E. A. Huerta, Ben Blaiszik, et al. · Scientific Data · 116
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Accelerated, scalable and reproducible AI-driven gravitational wave detection
2021 · E. A. Huerta, Asad Khan, et al. · Nature Astronomy · 86
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Enabling real-time multi-messenger astrophysics discoveries with deep learning
2019 · E. A. Huerta, Gabrielle Allen, et al. · Nature Reviews Physics · 84
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On Using Functions to Describe the Shape
2003 · Volodymyr V. Kindratenko · Journal of Mathematical Imaging and Vision · 78
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure
2020 · E. A. Huerta, Asad Khan, et al. · Journal Of Big Data · 77
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HAL: Computer System for Scalable Deep Learning
2020 · Volodymyr Kindratenko, Dawei Mu, et al. · Practice and Experience in Advanced Research Computing · 77
QP: A Heterogeneous Multi-Accelerator Cluster
2011 · Michael Showerman, Jeremy Enos, et al. · 76
A case study in porting a production scientific supercomputing application to a reconfigurable computer
2006 · Volodymyr Kindratenko, David Pointer · IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) · 76
IntelliBadgeTM: Towards Providing Location-Aware Value-Added Services at Academic Conferences
2003 · Donna Cox, Volodymyr Kindratenko, et al. · Lecture notes in computer science · 65
Numerical Computations with GPUs
2014 · Kindratenko · Springer eBooks · 64
Trends in High-Performance Computing
2011 · Volodymyr Kindratenko, Pedro Trancoso · Computing in Science & Engineering · 62
Guest Editors' Introduction: High-Performance Reconfigurable Computing
2007 · Duncan Buell, Tarek El-Ghazawi, et al. · Computer · 59
Fractal Dimensional Classification of Aerosol Particles by Computer-Controlled Scanning Electron Microscopy
1994 · Volodymyr V. Kindratenko, Piet J. M. Van Espen, et al. · Environmental Science & Technology · 48
Detection, instance segmentation, and classification for astronomical surveys with deep learning ( deepdisc ): detectron2 implementation and demonstration with Hyper Suprime-Cam data
2023 · Grant Merz, Yichen Liu, et al. · Monthly Notices of the Royal Astronomical Society · 47
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Calibration of electromagnetic tracking devices
1999 · V. Kindratenko · Virtual Reality · 46
A FAIR and AI-ready Higgs boson decay dataset
2022 · Yifan Chen, E. A. Huerta, et al. · Scientific Data · 41
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Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters
2010 · Jeremy Enos, Craig Steffen, et al. · International Conference on Green Computing · 40
Deep Learning with Quantized Neural Networks for Gravitational-wave Forecasting of Eccentric Compact Binary Coalescence
2021 · Wei Wei, E. A. Huerta, et al. · The Astrophysical Journal · 35
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Transforming the Hybrid Cloud for Emerging AI Workloads
2024 · Chen, Deming, Youssef, Alaa, et al. · arXiv (Cornell University) · 34
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On testing GPU memory for hard and soft errors
2011 · Guochun Shi, Jeremy Enos, et al. · 29
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems
2021 · Xiaofan Zhang, Yuan Ma, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 28
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Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network
2020 · Shirui Luo, Madhu Vellakal, et al. · Lecture notes in computer science · 28
Works count: 170
Citation count: 2,588
H-index: 26
I10-index: 52
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