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Volodymyr Kindratenko

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  • 2024

    Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems

    Liu, T., Tao, H., Lu, Y., Zhu, Z., Ellis, M., Kokkila-Schumacher, S. & Kindratenko, V., 2024, Euro-Par 2024: Parallel Processing - 30th European Conference on Parallel and Distributed Processing, Proceedings. Carretero, J., Garcia-Blas, J., Shende, S., Brandic, I., Olcoz, K. & Schreiber, M. (eds.). Springer, p. 180-194 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14801 LNCS).

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

  • OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms

    Smith, S., Ma, Y., Lanz, M., Dai, B., Ohmacht, M., Sukhwani, B., Franke, H., Kindratenko, V. & Chen, D., 2024, Proceedings - 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2024. Institute of Electrical and Electronics Engineers Inc., p. 218 1 p. (Proceedings - 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2024).

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

  • OS4C: An Open-Source SR-IOV System for SmartNIC-Based Cloud Platforms

    Smith, S., Ma, Y., Lanz, M., Dai, B., Ohmacht, M., Sukhwani, B., Franke, H., Kindratenko, V. & Chen, D., 2024, Proceedings - 2024 IEEE 17th International Conference on Cloud Computing, CLOUD 2024. Chang, R. N., Chang, C. K., Yang, J., Atukorala, N., Jin, Z., Sheng, M., Fan, J., Fletcher, K., He, Q., Kosar, T., Sarkar, S., Venkateswaran, S., Wang, S., Liu, X., Seelam, S., Narayanaswami, C. & Zong, Z. (eds.). IEEE Computer Society, p. 365-375 11 p. (IEEE International Conference on Cloud Computing, CLOUD).

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

  • UniNet: Accelerating the Container Network Data Plane in IaaS Clouds

    Ma, Y., Smith, S., Dai, B., Franke, H., Sukhwani, B., Asaad, S., Xiong, J., Kindratenko, V. & Chen, D., 2024, Proceedings - 2024 IEEE 17th International Conference on Cloud Computing, CLOUD 2024. Chang, R. N., Chang, C. K., Yang, J., Atukorala, N., Jin, Z., Sheng, M., Fan, J., Fletcher, K., He, Q., Kosar, T., Sarkar, S., Venkateswaran, S., Wang, S., Liu, X., Seelam, S., Narayanaswami, C. & Zong, Z. (eds.). IEEE Computer Society, p. 115-127 13 p. (IEEE International Conference on Cloud Computing, CLOUD).

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

  • 2023

    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

  • 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

  • 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

    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 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

    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

  • 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

    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

  • 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

    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

  • 2012

    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

  • 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

  • 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

  • 2010

    Direct self-consistent field computations on GPU clusters

    Shi, G., Kindratenko, V., Ufimtsev, I. & Martinez, T., 2010, Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010. 5470478. (Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010).

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

  • Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters

    Enos, J., Steffen, C., Fullop, J., Showerman, M., Shi, G., Esler, K., Kindratenko, V., Stone, J. E. & Phillips, J. C., 2010, 2010 International Conference on Green Computing, Green Comp 2010. p. 317-324 8 p. 5598297. (2010 International Conference on Green Computing, Green Comp 2010).

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

  • 2009

    Accelerating cosmological data analysis with FPGAs

    Kindratenko, V. V. & Brunner, R. J., 2009, Proceedings - IEEE Symposium on Field Programmable Custom Computing Machines, FCCM 2009. p. 11-18 8 p. 5290959. (Proceedings - IEEE Symposium on Field Programmable Custom Computing Machines, FCCM 2009).

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

  • Accelerating cosmological data analysis with graphics processors

    Roeh, D. W., Kindratenko, V. & Brunner, J., 2009, Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU-2. p. 1 1 p. (Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU-2).

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

  • GPU clusters for high-performance computing

    Kindratenko, V. V., Enos, J. J., Shi, G., Showerman, M. T., Arnold, G. W., Stone, J. E., Phillips, J. C. & Hwu, W. M., 2009, 2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09. 5289128. (Proceedings - IEEE International Conference on Cluster Computing, ICCC).

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

    Open Access

  • Phoenix: A runtime environment for high performance computing on chip multiprocessors

    Pant, A., Jafri, H. & Kindratenko, V., 2009, Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2009. p. 119-126 8 p. 4912923. (Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2009).

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

  • Soundmaker: A web-based teaching tool for sound design

    Cavis, R., Tipei, S. & Kindratenko, V., 2009, Proceedings of the 2009 International Computer Music Conference, ICMC 2009. International Computer Music Association, p. 183-186 4 p. (Proceedings of the 2009 International Computer Music Conference, ICMC 2009).

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

  • 2008

    Implementation of NAMD molecular dynamics non-bonded force-field on the cell broadband engine processor

    Shi, G. & Kindratenko, V., 2008, IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM. 4536470. (IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM).

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

  • 2007

    Mitrion-C application development on SGI Altix 350/RC100

    Kindratenko, V. V., Brunner, R. J. & Myers, A. D., 2007, Proceedings 2007 IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2030. IEEE Computer Society, p. 239-248 10 p. 4297260. (Proceedings 2007 IEEE Symposium on Field-Programme Custom Computing Machines, FCCM 2007).

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

    Open Access
  • 2006

    A case study in porting a production scientific supercomputing application to a reconfigurable computer

    Kindratenko, V. & Pointer, D., 2006, Proceedings - 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2006. p. 13-22 10 p. 4020891. (Proceedings - 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2006).

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

  • Reconfigurable supercomputing

    El-Ghazawi, T., Buell, D., Kindratenko, V. & Gaj, K., 2006, Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06. 1188681. (Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06).

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

  • 2005

    The visible radio: Process visualization of a software-defined radio

    Hall, M., Betts, A., Cox, D., Pointer, D. & Kindratenko, V., 2005, VIS 05: IEEE Visualization 2005, Proceedings. p. 21 1 p. 1566003. (Proceedings of the IEEE Visualization Conference).

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

  • 2002

    Real-time soil modeling for machine-medium interaction in virtual reality

    Ghaboussi, J., Hashash, Y. M. A. & Kindratenko, V., 2002, Numerical Models in Geomechanics - 8th Proceedings of the International Symposium on Numerical Models in Geomechanics, NUMOG 2002. Pande, G. N. & Pietruszczak, S. (eds.). CRC Press/Balkema, p. 207-212 6 p. (Numerical Models in Geomechanics - 8th Proceedings of the International Symposium on Numerical Models in Geomechanics, NUMOG 2002).

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

  • 1996

    Classification of irregularly shaped micro-objects using complex Fourier descriptors

    Kindratenko, V. V. & Vanespen, P. J. M., 1996, Track B: Pattern Recognition and Signal Analysis. Institute of Electrical and Electronics Engineers Inc., p. 285-289 5 p. 546834. (Proceedings - International Conference on Pattern Recognition; vol. 2).

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

  • 1995

    Binarization of inhomogeneously illuminated images

    Kindratenko, V. V., Treiger, B. A. & Vanespen, P. J. M., 1995, Image Analysis and Processing - 8th International Conference, ICIAP 1995, Proceedings. Braccini, C., DeFloriani, L. & Vernazza, G. (eds.). Springer, p. 483-487 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 974).

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