Volodymyr Kindratenko

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

FEDCOMPASS: EFFICIENT CROSS-SILO FEDERATED LEARNING ON HETEROGENEOUS CLIENT DEVICES USING A COMPUTING POWER-AWARE SCHEDULER

Li, Z., Chaturvedi, P., He, S., Chen, H., Singh, G., Kindratenko, V., Huerta, E. A., Kim, K. & Madduri, R., 2024.

Research output: Contribution to conference › Paper › peer-review

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, (Accepted/In press) In: Computing in Science and Engineering. p. 1-7 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

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service

Li, Z., He, S., Chaturvedi, P., Hoang, T. H., Ryu, M., Huerta, E. A., Kindratenko, V., Fuhrman, J., Giger, M., Chard, R., Kim, K. & Madduri, R., 2023, Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023. Institute of Electrical and Electronics Engineers Inc., (Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray

Liu, T., Ellis, M., Costa, C., Misale, C., Kokkila-Schumacher, S., Jung, J., Nam, G. J. & Kindratenko, V., 2023, High Performance Computing - ISC High Performance 2023 International Workshops, Revised Selected Papers. Bienz, A., Weiland, M., Baboulin, M. & Kruse, C. (eds.). Springer, p. 207-220 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13999 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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

FAIR for AI: An interdisciplinary and international community building perspective

Huerta, E. A., Blaiszik, B., Brinson, L. C., Bouchard, K. E., Diaz, D., Doglioni, C., Duarte, J. M., Emani, M., Foster, I., Fox, G., Harris, P., Heinrich, L., Jha, S., Katz, D. S., Kindratenko, V., Kirkpatrick, C. R., Lassila-Perini, K., Madduri, R. K., Neubauer, M. S. & Psomopoulos, F. E. & 4 others, Roy, A., Rübel, O., Zhao, Z. & Zhu, R., Dec 2023, In: Scientific Data. 10, 1, 487.

Research output: Contribution to journal › Comment/debate › peer-review

Open Access

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments

Bader, J., Belak, J., Bement, M., Berry, M., Carson, R., Cassol, D., Chan, S., Coleman, J., Day, K., Duque, A., Fagnan, K., Froula, J., Jha, S., Katz, D. S., Kica, P., Kindratenko, V., Kirton, E., Kothadia, R., Laney, D. & Lehmann, F. & 14 others, Leser, U., Licholai, S., Malawski, M., Melara, M., Player, E., Rolchigo, M., Sarrafan, S., Sul, S. J., Syed, A., Thamsen, L., Titov, M., Turilli, M., Caino-Lores, S. & Mandal, A., Nov 12 2023, Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023. Association for Computing Machinery, p. 2097-2108 12 p. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis

Zhou, A., Li, S., Sriram, P., Li, X., Dong, J., Sharma, A., Zhong, Y., Luo, S., Kindratenko, V., Heintz, G., Zallek, C. & Wang, Y.-X., 2023, Advances in Neural Information Processing Systems. Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Curran Associates Inc., Vol. 36. p. 55140-55159 20 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Sparse Spatio-Temporal Neural Network for Large-Scale Forecasting

Bracht, E., Kindratenko, V. & Brunner, R. J., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022; vol. 2022-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. 19

Research output: Contribution to journal › Article › peer-review

Open Access

Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model

Qi, Z., Zhu, R., Fu, Z., Chai, W. & Kindratenko, V., 2022, Proceedings - 2022 IEEE 34th International Conference on Tools with Artificial Intelligence, ICTAI 2022. Reformat, M., Zhang, D. & Bourbakis, N. G. (eds.). IEEE Computer Society, p. 677-685 9 p. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Efficient HW and SW Interface Design for Convolutional Neural Networks Using High-Level Synthesis and TensorFlow

Misra, A., He, C. & Kindratenko, V., 2021, Proceedings of H2RC 2021: 7th International Workshop on Heterogeneous High-Performance Reconfigurable Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p. (Proceedings of H2RC 2021: 7th International Workshop on Heterogeneous High-Performance Reconfigurable Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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

Turbomachinery Blade Surrogate Modeling Using Deep Learning

Luo, S., Cui, J., Sella, V., Liu, J., Koric, S. & Kindratenko, V., 2021, High Performance Computing - ISC High Performance Digital 2021 International Workshops, 2021, Revised Selected Papers. Jagode, H., Anzt, H., Ltaief, H. & Luszczek, P. (eds.). Springer, p. 92-104 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12761 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Evaluation of Rotation Correction Techniques for Electromagnetic Position Tracking Systems

Kindratenko, V. & Bennett, A., 2020, Proceedings of the 6th Eurographics Workshop on Virtual Environments, EGVE 2000. Mulder, J. D. & van Liere, R. (eds.). The Eurographics Association, (Proceedings of the 6th Eurographics Workshop on Virtual Environments, EGVE 2000).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

HAL: Computer System for Scalable Deep Learning

Kindratenko, V., Mu, D., Zhan, Y., Maloney, J., Hashemi, S. H., Rabe, B., Xu, K., Campbell, R., Peng, J. & Gropp, W., Jul 26 2020, PEARC 2020 - Practice and Experience in Advanced Research Computing 2020: Catch the Wave. Association for Computing Machinery, p. 41-48 8 p. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

HLS-Based Acceleration Framework for Deep Convolutional Neural Networks

Misra, A. & Kindratenko, V., 2020, Applied Reconfigurable Computing. Architectures, Tools, and Applications - 16th International Symposium, ARC 2020, Proceedings. Rincón, F., Barba, J., Caba, J., So, H. K. H. & Diniz, P. (eds.). Springer, p. 221-231 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12083 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

NCSA Internship Program for Cyberinfrastructure Professionals

Lapine, D., Kindratenko, V. & Rosu, L. M., Jul 26 2020, PEARC 2020 - Practice and Experience in Advanced Research Computing 2020: Catch the Wave. Association for Computing Machinery, p. 414-420 7 p. (PervasiveHealth: Pervasive Computing Technologies for Healthcare).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network

Luo, S., Vellakal, M., Koric, S., Kindratenko, V. & Cui, J., Oct 20 2020, High Performance Computing - ISC High Performance 2020 International Workshops, Revised Selected Papers: ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21–25, 2020, Revised Selected Papers. Jagode, H., Anzt, H., Juckeland, G. & Ltaief, H. (eds.). Springer, p. 137-149 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12321 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

Allen, G., Andreoni, I., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Kind, M. C., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., George, D., Gibbs, T., Graham, M., Gropp, W., Gupta, A., Haas, R., Huerta, E. A., Jennings, E. & Katz, D. S. & 28 others, Khan, A., Kindratenko, V., Kramer, W. T. C., Liu, X., Mahabal, A., McHenry, K., Miller, J. M., Neubauer, M. S., Oberlin, S., Jr, A. R. O., Rosofsky, S., Ruiz, M., Saxton, A., Schutz, B., Schwing, A., Seidel, E., Shapiro, S. L., Shen, H., Shen, Y., Sipőcz, B. M., Sun, L., Towns, J., Tsokaros, A., Wei, W., Wells, J., Williams, T. J., Xiong, J. & Zhao, Z., Feb 1 2019, 15 p.

Research output: Book/Report/Conference proceeding › Commissioned report

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, Gupta, A., Haas, R., Habib, S., Jennings, E., Johnson, M. W. G., Katsavounidis, E., Katz, D. S., Khan, A., Kindratenko, V., Kramer, W. T. C., Liu, X., Mahabal, A., Marka, Z., Mchenry, K., Miller, J. M., Moreno, C., Neubauer, M. S., Oberlin, S., Olivas, A. R., Petravick, D., Rebei, A., Rosofsky, S., Ruiz, M., Saxton, A., Schutz, B. F., Schwing, A., Seidel, E., Shapiro, S. L., Shen, H., Shen, Y., Singer, L. P., Sipocz, B. M., Sun, L., Towns, J., Tsokaros, A., Wei, W., Wells, J., Williams, T. J., Xiong, J. & Zhao, Z., Oct 1 2019, In: Nature Reviews Physics. 1, 10, p. 600-608 9 p.

Research output: Contribution to journal › Article › peer-review

Tensorflow-tracing: A performance tuning framework for production

Hashemi, S. H., Rausch, P., Rabe, B., Chou, K. Y., Liu, S., Kindratenko, V. & Campbell, R. H., 2019, Proceedings of the 2019 USENIX Conference on Operational Machine Learning, OpML 2019. USENIX Association, p. 31-33 3 p. (Proceedings of the 2019 USENIX Conference on Operational Machine Learning, OpML 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2014

Numerical computations with GPUs

Kindratenko, V., Jan 1 2014, Springer. 405 p.

Research output: Book/Report/Conference proceeding › Book

2013

Modern accelerator technologies for geographic information science

Shi, X., Kindratenko, V. & Yang, C., Aug 1 2013, Springer. 251 p.

Research output: Book/Report/Conference proceeding › Book

Open Access

Modern accelerator technologies for geographic information science

Shi, X., Kindratenko, V. & Yang, C., Aug 1 2013, Modern accelerator technologies for geographic information science. Springer, Vol. 9781461487456. p. 3-6 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

Open Access

2012

Application accelerators in HPC - Editorial introduction

Kindratenko, V. & Peterson, G. D., Aug 2012, In: Parallel Computing. 38, 8, p. 343 1 p.

Research output: Contribution to journal › Editorial › peer-review

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

Scientific computing with GPUs

Kindratenko, V., May 2012, In: Computing in Science and Engineering. 14, 3, p. 8-9 2 p., 6188561.

Research output: Contribution to journal › Review article › peer-review

The fat-link computation on large GPU clusters for lattice QCD

Shi, G., Babich, R., Clark, M. A., Joó, B., Gottlieb, S. & Kindratenko, V., 2012, Proceedings - 2012 Symposium on Application Accelerators in High Performance Computing, SAAHPC 2012. p. 1-10 10 p. 6319185. (Symposium on Application Accelerators in High-Performance Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2011

Design of MILC lattice QCD application for GPU clusters

Shi, G., Gottlieb, S., Torok, A. & Kindratenko, V., 2011, Proceedings - 25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011. p. 363-371 9 p. 6012807. (Proceedings - 25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Foreword

Peterson, G. D. & Kindratenko, V., 2011, In: Proceedings - 2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011. p. viii 6031585.

Research output: Contribution to journal › Editorial › peer-review

GPU acceleration of an image characterization algorithm for document similarity analysis

Shi, G., Kindratenko, V., Kooper, R. & Bajcsy, P., 2011, Proceedings of the 2011 9th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2011. p. 209-216 8 p. 6126604. (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Guest editor's introduction: Special issue on high-performance computing with accelerators

Bader, D. A., Kaeli, D. & Kindratenko, V., 2011, In: IEEE Transactions on Parallel and Distributed Systems. 23, 1, p. 3-6 4 p., 5644743.

Research output: Contribution to journal › Editorial › peer-review

Porting optimized GPU kernels to a multi-core CPU: Computational quantum chemistry application example

Ye, D., Titov, A., Kindratenko, V., Ufimtsev, I. & Martinez, T., 2011, Proceedings - 2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011. p. 72-75 4 p. 6031568. (Proceedings - 2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Volodymyr Kindratenko

Research output

Search results