Research output per year
Research output per year
- 37 results
Search results
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2024
Accurate Feature Extraction from Historical Geologic Maps Using Open-Set Segmentation and Detection
Saxton, A., Dong, J., Bode, A., Jaroenchai, N., Kooper, R., Zhu, X., Kwark, D. H., Kramer, W., Kindratenko, V. & Luo, S., Nov 2024, In: Geosciences (Switzerland). 14, 11, 305.Research output: Contribution to journal › Article › peer-review
Open Access -
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2
Li, Z., He, S., Chaturvedi, P., Kindratenko, V., Huerta, E. A., Kim, K. & Madduri, R., 2024, In: Computing in Science and Engineering. 26, 3, p. 52-58 7 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2023
AGNet: Weighing Black Holes with Deep Learning
Lin, J. Y. Y., Pandya, S., Pratap, D., Liu, X., Kind, M. C. & Kindratenko, V., Feb 1 2023, In: Monthly Notices of the Royal Astronomical Society. 518, 4, p. 4921-4929 9 p.Research output: Contribution to journal › Article › peer-review
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Critical Minerals Map Feature Extraction Using Deep Learning
Luo, S., Saxton, A., Bode, A., Mazumdar, P. & Kindratenko, V., 2023, In: IEEE Geoscience and Remote Sensing Letters. 20, 8002005.Research output: Contribution to journal › Article › peer-review
Open Access -
Detection, instance segmentation, and classification for astronomical surveys with deep learning (DeepDISC): Detectron2 implementation and demonstration with hyper suprime-cam data
Merz, G., Liu, Y., Burke, C. J., Aleo, P. D., Liu, X., Kind, M. C., Kindratenko, V. & Liu, Y., Nov 1 2023, In: Monthly Notices of the Royal Astronomical Society. 526, 1, p. 1122-1137 16 p.Research output: Contribution to journal › Article › peer-review
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FAIR AI models in high energy physics
Duarte, J., Li, H., Roy, A., Zhu, R., Huerta, E. A., Diaz, D., Harris, P., Kansal, R., Katz, D. S., Kavoori, I. H., Kindratenko, V. V., Mokhtar, F., Neubauer, M. S., Eon Park, S., Quinnan, M., Rusack, R. & Zhao, Z., Dec 1 2023, In: Machine Learning: Science and Technology. 4, 4, 045062.Research output: Contribution to journal › Article › peer-review
Open Access -
Training Next-Generation Artificial Intelligence Users and Developers at NCSA
Katz, D. S., Kindratenko, V., Kindratenko, O., Mazumdar, P. & Cooper, R., Nov 1 2023, In: Computing in Science and Engineering. 25, 6, p. 28-32 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2022
A FAIR and AI-ready Higgs boson decay dataset
Chen, Y., Huerta, E. A., Duarte, J., Harris, P., Katz, D. S., Neubauer, M. S., Diaz, D., Mokhtar, F., Kansal, R., Park, S. E., Kindratenko, V. V., Zhao, Z. & Rusack, R., Dec 2022, In: Scientific Data. 9, 1, 31.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems
Zhang, X., Ma, Y., Xiong, J., Hwu, W. M., Kindratenko, V. & Chen, D., Jun 1 2022, In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41, 6, p. 1606-1619 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Nvidia Hopper GPU and Grace CPU Highlights
Elster, A. C., Haugdahl, T. A., Kindratenko, V. & Elster, A., 2022, In: Computing in Science and Engineering. 24, 2, p. 95-100 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Weakly Supervised Segmentation of Buildings in Digital Elevation Models
Soliman, A., Chen, Y., Luo, S., Makharov, R. & Kindratenko, V., 2022, In: IEEE Geoscience and Remote Sensing Letters. 19Research output: Contribution to journal › Article › peer-review
Open Access -
2021
Accelerated, scalable and reproducible AI-driven gravitational wave detection
Huerta, E. A., Khan, A., Huang, X., Tian, M., Levental, M., Chard, R., Wei, W., Heflin, M., Katz, D. S., Kindratenko, V., Mu, D., Blaiszik, B. & Foster, I., Oct 2021, In: Nature Astronomy. 5, 10, p. 1062-1068 7 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning with Quantized Neural Networks for Gravitational-wave Forecasting of Eccentric Compact Binary Coalescence
Wei, W., Huerta, E. A., Yun, M., Loutrel, N., Shaikh, M. A., Kumar, P., Haas, R. & Kindratenko, V., Oct 1 2021, In: Astrophysical Journal. 919, 2, 82.Research output: Contribution to journal › Article › peer-review
Open Access -
FPGAs in the Cloud
Leeser, M., Handagala, S., Zink, M., Kindratenko, V. & Elster, A., 2021, In: Computing in Science and Engineering. 23, 6, p. 72-76 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Shared memory parallelization for high-fidelity large-scale 3D polyhedral particle simulations
Park, E. H., Kindratenko, V. & Hashash, Y. M. A., Sep 2021, In: Computers and Geotechnics. 137, 104008.Research output: Contribution to journal › Article › peer-review
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The European Factor: From ARM to Atos
Elster, A. C., Kindratenko, V. & Elster, A., Jan 1 2021, In: Computing in Science and Engineering. 23, 1, p. 102-105 4 p., 9364770.Research output: Contribution to journal › Article › peer-review
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2020
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure
Huerta, E. A., Khan, A., Davis, E., Bushell, C., Gropp, W. D., Katz, D. S., Kindratenko, V., Koric, S., Kramer, W. T. C., McGinty, B., McHenry, K. & Saxton, A., Dec 1 2020, In: Journal of Big Data. 7, 1, 88.Research output: Contribution to journal › Article › peer-review
Open Access -
Hands-on with IBM Visual Insights
Luo, S. & Kindratenko, V., Sep 1 2020, In: Computing in Science and Engineering. 22, 5, p. 108-112 5 p., 9171933.Research output: Contribution to journal › Article › peer-review
Open Access -
High-Level Synthesis-Based Approach for Accelerating Scientific Codes on FPGAs
Venkatakrishnan, R., Misra, A. & Kindratenko, V., Jul 1 2020, In: Computing in Science and Engineering. 22, 4, p. 104-109 6 p., 9121601.Research output: Contribution to journal › Article › peer-review
Open Access -
2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Huerta, E. A., Allen, G., Andreoni, I., Antelis, J. M., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Carrasco kind, M., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., Fishbach, M., Forster, F., George, D., Gibbs, T., Graham, M., Gropp, W. & Gruendl, R. & 40 others, , Oct 1 2019, In: Nature Reviews Physics. 1, 10, p. 600-608 9 p.Research output: Contribution to journal › Article › peer-review
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2012
Fine-grain parallelism using multi-core, Cell/BE, and GPU systems
Pratas, F., Trancoso, P., Sousa, L., Stamatakis, A., Shi, G. & Kindratenko, V., Aug 2012, In: Parallel Computing. 38, 8, p. 365-390 26 p.Research output: Contribution to journal › Article › peer-review
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2011
Trends in high-performance cComputing
Kindratenko, V. & Trancoso, P., May 2011, In: Computing in Science and Engineering. 13, 3, p. 92-95 4 p., 5756280.Research output: Contribution to journal › Article › peer-review
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2010
Application acceleration with the cell broadband engine
Shi, G., Kindratenko, V., Pratas, F., Trancoso, P. & Gschwind, M., Jan 2010, In: Computing in Science and Engineering. 12, 1, p. 76-81 6 p., 5372183.Research output: Contribution to journal › Article › peer-review
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2009
Implementation of the two-point angular correlation function on a high-performance reconfigurable computer
Kindratenko, V. V., Myers, A. D. & Brunner, R. J., 2009, In: Scientific Programming. 17, 3, p. 247-259 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Novel computing architectures
Kindratenko, V., May 2009, In: Computing in Science and Engineering. 11, 3, p. 54-57 4 p., 4814983.Research output: Contribution to journal › Article › peer-review
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The bottom-up implementation of one MILC lattice QCD application on the cell blade
Shi, G., Kindratenko, V. & Gottlieb, S., Oct 2009, In: International Journal of Parallel Programming. 37, 5, p. 488-507 20 p.Research output: Contribution to journal › Article › peer-review
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2008
The promise of high-performance reconfigurable computing
El-Ghazawi, T., El-Araby, E., Huang, M., Gaj, K., Kindratenko, V. & Buell, D., Feb 2008, Computer, 41, 2, p. 69-76 8 p.Research output: Contribution to specialist publication › Article
Open Access -
2007
Guest editors' introduction: High-performance reconfigurable computing
Buell, D., El-Ghazawi, T., Gaj, K. & Kindratenko, V., Mar 2007, Computer, 40, 3, p. 23-27 5 p.Research output: Contribution to specialist publication › Article
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2005
Mapping a sensor interface and a reconfigurable communication system to an FPGA core
Kindratenko, V. & Pointer, D., Jun 2005, In: Sensor Letters. 3, 2, p. 174-178 5 p.Research output: Contribution to journal › Article › peer-review
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Neural network-based calibration of electromagnetic tracking systems
Kindratenko, V. V. & Sherman, W. R., Dec 2005, In: Virtual Reality. 9, 1, p. 70-78 9 p.Research output: Contribution to journal › Article › peer-review
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2003
IntelliBadge™: Towards providing location-aware value-added services at academic conferences
Cox, D. J., Kindratenko, V. & Pointer, D., 2003, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2864, p. 264-280 17 p.Research output: Contribution to journal › Article › peer-review
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2000
A survey of electromagnetic position tracker calibration techniques
Kindratenko, V. V., 2000, In: Virtual Reality. 5, 3, p. 169-182 14 p.Research output: Contribution to journal › Article › peer-review
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1999
Calibration of electromagnetic tracking devices
Kindratenko, V., 1999, In: Virtual Reality. 4, 2, p. 139-150 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
1997
Classification of silver halide microcrystals via K-NN clustering of their shape descriptors
Kindratenko, V. V., Treiger, B. A. & Van Espen, P. J. M., 1997, In: Journal of Chemometrics. 11, 2, p. 131-139 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Shape reconstruction of partially overlapping objects in SEM images: Application to silver halide microcrystals
Kindratenko, V. V., Treiger, B. A. & Van Espen, P. J. M., 1997, In: Microscopy Microanalysis Microstructures. 8, 2, p. 115-123 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
1996
Chemometrical approach to the determination of the fractal dimension(s) of real objects
Kindratenko, V. V., Treiger, B. A. & Van Espen, P. J. M., Aug 1996, In: Chemometrics and Intelligent Laboratory Systems. 34, 1, p. 103-108 6 p.Research output: Contribution to journal › Article › peer-review
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1994
Fractal Dimensional Classification of Aerosol Particles by Computer-Controlled Scanning Electron Microscopy
Kindratenko, V. V., Van Espen, P. J. M., Treiger, B. A. & Van Grieken, R. E., Nov 1 1994, In: Environmental Science and Technology. 28, 12, p. 2197-2202 6 p.Research output: Contribution to journal › Article › peer-review