Prasanna Balaprakash

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20062025

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  • 2024

    ChatBLAS: The First AI-Generated and Portable BLAS Library

    Valero-Lara, P., Godoy, W. F., Teranishi, K., Balaprakash, P. & Vetter, J. S., 2024, Proceedings of SC 2024-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 19-24 6 p. (Proceedings of SC 2024-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Enhancing Power Distribution System Resilience with Fusion-GNN: A Dynamic Graph Representation Learning Approach

    Liu, B., Zhang, C., Dong, J., Balaprakash, P., Liu, Y. & Eiffert, B., 2024, IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings. IEEE Computer Society, (IECON Proceedings (Industrial Electronics Conference)).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning

    Jin, H., Papadimitriou, G., Raghavan, K., Zuk, P., Balaprakash, P., Wang, C., Mandal, A. & Deelman, E., 2024, Proceedings of SC 2024: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Optimizing Distributed Training on Frontier for Large Language Models

    Dash, S., Lyngaas, I. R., Yin, J., Wang, X., Egele, R., Ellis, J. A., Maiterth, M., Cong, G., Wang, F. & Balaprakash, P., 2024, Research Paper Proceedings of the ISC High Performance 2024. Institute of Electrical and Electronics Engineers Inc., (Research Paper Proceedings of the ISC High Performance 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability

    Wang, X., Liu, S., Tsaris, A., Choi, J. Y., Aji, A. M., Fan, M., Zhang, W., Yin, J., Ashfaq, M., Lu, D. & Balaprakash, P., 2024, Proceedings of SC 2024: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • 2023

    Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems

    Balaji, A. & Balaprakash, P., 2023, Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Arif Wani, M., Boicu, M., Sayed-Mouchaweh, M., Abreu, P. H. & Gama, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1253-1260 8 p. (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization

    Egelé, R., Guyon, I., Vishwanath, V. & Balaprakash, P., 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 proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations
  • EFFICIENT MAPPING BETWEEN VOID SHAPES AND STRESS FIELDS USING DEEP CONVOLUTIONAL NEURAL NETWORKS WITH SPARSE DATA

    Bhaduri, A., Ramachandra, N., Ravi, S. K., Luan, L., Pandita, P., Balaprakash, P., Anitescu, M., Sun, C. & Wang, L., 2023, 43rd Computers and Information in Engineering Conference (CIE). American Society of Mechanical Engineers (ASME), v002t02a004. (Proceedings of the ASME Design Engineering Technical Conference; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation

    Godoy, W., Valero-Lara, P., Teranishi, K., Balaprakash, P. & Vetter, J., Aug 7 2023, 52nd International Conference on Parallel Processing, ICPP 2023 - Workshops Proceedings. Association for Computing Machinery, p. 136-144 9 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    12 Scopus citations
  • Graph Pyramid Autoformer for Long- Term Traffic Forecasting

    Zhong, W., Mallick, T., MacFarlane, J., Meidani, H. & Balaprakash, P., 2023, Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Arif Wani, M., Boicu, M., Sayed-Mouchaweh, M., Abreu, P. H. & Gama, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 384-391 8 p. (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • SCALABLE PROBABILISTIC MODELING AND MACHINE LEARNING WITH DIMENSIONALITY REDUCTION FOR EXPENSIVE HIGH-DIMENSIONAL PROBLEMS

    Luan, L., Ramachandra, N., Ravi, S. K., Bhaduri, A., Pandita, P., Balaprakash, P., Anitescu, M., Sun, C. & Wang, L., 2023, 43rd Computers and Information in Engineering Conference (CIE). American Society of Mechanical Engineers (ASME), v002t02a011. (Proceedings of the ASME Design Engineering Technical Conference; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Transfer-learning-based Autotuning using Gaussian Copula

    Randall, T., Koo, J., Videau, B., Kruse, M., Wu, X., Hovland, P., Hall, M., Ge, R. & Balaprakash, P., Jun 21 2023, ACM ICS 2023 - Proceedings of the International Conference on Supercomputing. Association for Computing Machinery, p. 37-49 13 p. (Proceedings of the International Conference on Supercomputing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations
  • 2022

    A Taxonomy of Error Sources in HPC I/O Machine Learning Models

    Isakov, M., Currier, M., Del Rosario, E., Madireddy, S., Balaprakash, P., Carns, P., Ross, R. B., Lockwood, G. K. & Kinsy, M. A., 2022, Proceedings of SC 2022: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, (International Conference for High Performance Computing, Networking, Storage and Analysis, SC; vol. 2022-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
  • AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification

    Egele, R., Maulik, R., Raghavan, K., Lusch, B., Guyon, I. & Balaprakash, P., 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. Institute of Electrical and Electronics Engineers Inc., p. 1908-1914 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    22 Scopus citations
  • Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging

    Yildiz, O., Chan, H., Raghavan, K., Judge, W., Cherukara, M. J., Balaprakash, P., Sankaranarayanan, S. & Peterka, T., 2022, Proceedings of AI4S 2022: Artificial Intelligence and Machine Learning for Scientific Applications, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. (Proceedings of AI4S 2022: Artificial Intelligence and Machine Learning for Scientific Applications, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Continual Learning via Dynamic Programming

    Krishnan, R. & Balaprakash, P., 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. Institute of Electrical and Electronics Engineers Inc., p. 1350-1356 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization

    Dorier, M., Egele, R., Balaprakash, P., Koo, J., Madireddy, S., Ramesh, S., Malony, A. D. & Ross, R., 2022, Proceedings - 2022 IEEE International Conference on Cluster Computing, CLUSTER 2022. Institute of Electrical and Electronics Engineers Inc., p. 381-393 13 p. (Proceedings - IEEE International Conference on Cluster Computing, ICCC; vol. 2022-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    8 Scopus citations
  • Workflow Anomaly Detection with Graph Neural Networks

    Jin, H., Raghavan, K., Papadimitriou, G., Wang, C., Mandal, A., Krawczuk, P., Pottier, L., Kiran, M., Deelman, E. & Balaprakash, P., 2022, Proceedings of WORKS 2022: 17th Workshop on Workflows in Support of Large-Scale Science, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 35-42 8 p. (Proceedings of WORKS 2022: 17th Workshop on Workflows in Support of Large-Scale Science, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • 2021

    Agebo-Tabular: Joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data

    Egele, R., Balaprakash, P., Guyon, I., Vishwanath, V., Xia, F., Stevens, R. & Liu, Z., Nov 14 2021, Proceedings of SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis: Science and Beyond. IEEE Computer Society, (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    16 Scopus citations
  • APPLICATION OF DEEP NEURAL NETWORKS FOR COARSE MESH TURBULENCE MODELING IN REACTOR TRANSIENTS ANALYSIS

    Liu, Y., Hu, R., Balaprakash, P., Brunett, A. & Obabko, A., 2021, Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2021. American Nuclear Society, p. 867-876 10 p. (Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations

    Koo, J., Balaprakash, P., Kruse, M., Wu, X., Hovland, P. & Hall, M., 2021, Proceedings of PMBS 2021: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, 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. 82-93 12 p. (Proceedings of PMBS 2021: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    5 Scopus citations
  • Formalizing the Generalization-Forgetting Trade-Off in Continual Learning

    Krishnan, R. & Balaprakash, P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 17284-17297 14 p. (Advances in Neural Information Processing Systems; vol. 21).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Scopus citations
  • Neuromorphic architectures for edge computing under extreme environments

    Yanguas-Gil, A., Koo, J., Madireddy, S., Balaprakash, P., Elam, J. W. & Mane, A. U., Aug 2021, Proceedings - 2021 IEEE Space Computing Conference, SCC 2021. Institute of Electrical and Electronics Engineers Inc., p. 39-45 7 p. (Proceedings - 2021 IEEE Space Computing Conference, SCC 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • 2020

    Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization

    Wu, X., Kruse, M., Balaprakash, P., Finkel, H., Hovland, P., Taylor, V. & Hall, M., Nov 2020, Proceedings of PMBS 2020: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 61-70 10 p. 9307884. (Proceedings of PMBS 2020: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    10 Scopus citations
  • Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks

    Mallick, T., Kiran, M., Mohammed, B. & Balaprakash, P., Dec 10 2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Institute of Electrical and Electronics Engineers Inc., 9512748. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020; vol. 2020-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    12 Scopus citations
  • Fidelity: Efficient resilience analysis framework for deep learning accelerators

    He, Y., Balaprakash, P. & Li, Y., Oct 2020, Proceedings - 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2020. IEEE Computer Society, p. 270-281 12 p. 09251852. (Proceedings of the Annual International Symposium on Microarchitecture, MICRO; vol. 2020-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    56 Scopus citations
  • Gauge: An Interactive Data-Driven Visualization Tool for HPC Application I/O Performance Analysis

    Del Rosario, E., Currier, M., Isakov, M., Madireddy, S., Balaprakash, P., Carns, P., Ross, R. B., Harms, K., Snyder, S. & Kinsy, M. A., Nov 2020, Proceedings of PDSW 2020: IEEE/ACM 5th International Parallel Data Systems Workshop, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 15-21 7 p. 9306979. (Proceedings of PDSW 2020: IEEE/ACM 5th International Parallel Data Systems Workshop, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • Graph Neural Network Architecture Search for Molecular Property Prediction

    Jiang, S. & Balaprakash, P., Dec 10 2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1346-1353 8 p. 9378060. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    29 Scopus citations
  • Hpc i/o throughput bottleneck analysis with explainable local models

    Isakov, M., Rosario, E. D., Madireddy, S., Balaprakash, P., Carns, P., Ross, R. B. & Kinsy, M. A., Nov 2020, Proceedings of SC 2020: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, 9355272. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC; vol. 2020-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    31 Scopus citations
  • Learning to optimize variational quantum vircuits to solve combinatorial problems

    Khairy, S., Shaydulin, R., Cincio, L., Alexeev, Y. & Balaprakash, P., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI Press, p. 2367-2375 9 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    79 Scopus citations
  • Recurrent neural network architecture search for geophysical emulation

    Maulik, R., Egele, R., Lusch, B. & Balaprakash, P., Nov 2020, Proceedings of SC 2020: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, 9355238. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC; vol. 2020-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    19 Scopus citations
  • Toward Generalizable Models of I/O Throughput

    Isakov, M., Del Rosario, E., Madireddy, S., Balaprakash, P., Carns, P., Ross, R. B. & Kinsy, M. A., Nov 2020, Proceedings of ROSS 2020: 10th International Workshop on Runtime and Operating Systems for Supercomputers, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 41-49 9 p. 9307941. (Proceedings of ROSS 2020: 10th International Workshop on Runtime and Operating Systems for Supercomputers, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Transfer learning with graph neural networks for short-term highway traffic forecasting

    Mallick, T., Balaprakash, P., Rask, E. & Macfarlane, J., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., p. 10367-10374 8 p. 9413270. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    49 Scopus citations
  • 2019

    Adaptive learning for concept drift in application performance modeling

    Madireddy, S., Balaprakash, P., Carns, P., Latham, R., Lockwood, G. K., Ross, R., Snyder, S. & Wild, S. M., Aug 5 2019, Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019. Association for Computing Machinery, a79. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    9 Scopus citations
  • A framework for enabling openMP autotuning

    Sreenivasan, V., Javali, R., Hall, M., Balaprakash, P., Scogland, T. R. W. & de Supinski, B. R., 2019, OpenMP: Conquering the Full Hardware Spectrum - 15th International Workshop on OpenMP, IWOMP 2019, Proceedings. Fan, X., Sinnen, O., Giacaman, N. & de Supinski, B. R. (eds.). Springer Verlag, p. 50-60 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11718 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    13 Scopus citations
  • Building a wide-area file transfer performance predictor: An empirical study

    Liu, Z., Kettimuthu, R., Balaprakash, P., Rao, N. S. V. & Foster, I., 2019, Machine Learning for Networking - 1st International Conference, MLN 2018, Revised Selected Papers. Mühlethaler, P., Boumerdassi, S. & Renault, É. (eds.). Springer Verlag, p. 56-78 23 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11407 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Graph Convolutional Neural Networks for Optimal Load Shedding under Line Contingency

    Kim, C., Kim, K., Balaprakash, P. & Anitescu, M., Aug 2019, 2019 IEEE Power and Energy Society General Meeting, PESGM 2019. IEEE Computer Society, 8973468. (IEEE Power and Energy Society General Meeting; vol. 2019-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    44 Scopus citations
  • Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time

    Lee, S., Kang, Q., Madireddy, S., Balaprakash, P., Agrawal, A., Choudhary, A., Archibald, R. & Liao, W. K., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 830-839 10 p. 9006550. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    20 Scopus citations
  • MaLTESE: Large-scale simulation-driven machine learning for transient driving cycles

    Aithal, S. M. & Balaprakash, P., 2019, High Performance Computing - 34th International Conference, ISC High Performance 2019, Proceedings. Sadayappan, P., Trinitis, C., Juckeland, G. & Weiland, M. (eds.). Springer Verlag, p. 186-205 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11501 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations
  • Neuromorphic acceleration for approximate Bayesian inference on neural networks via permanent dropout

    Wycoff, N., Balaprakash, P. & Xia, F., Jul 23 2019, ICONS 2019 - Proceedings of International Conference on Neuromorphic Systems. Association for Computing Machinery, a9. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Neuromorphic architecture optimization for task-specific dynamic learning

    Madireddy, S., Yanguas-Gil, A. & Balaprakash, P., Jul 23 2019, ICONS 2019 - Proceedings of International Conference on Neuromorphic Systems. Association for Computing Machinery, a5. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Scalable reinforcement-learning-based neural architecture search for cancer deep learning research

    Balaprakash, P., Egele, R., Salim, M., Wild, S., Vishwanath, V., Xia, F., Brettin, T. & Stevens, R., Nov 17 2019, Proceedings of SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, a37. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    30 Scopus citations
  • 2018

    Benchmarking machine learning methods for performance modeling of scientific applications

    Malakar, P., Balaprakash, P., Vishwanath, V., Morozov, V. & Kumaran, K., Jul 2 2018, Proceedings of PMBS 2018: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 33-44 12 p. 8641686. (Proceedings of PMBS 2018: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    53 Scopus citations
  • Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training

    Lee, S., Agrawal, A., Balaprakash, P., Choudhary, A. & Liao, W. K., Jul 2 2018, Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 47-56 10 p. 8638635. (Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks

    Balaprakash, P., Salim, M., Uram, T. D., Vishwanath, V. & Wild, S. M., Jul 2 2018, Proceedings - 25th IEEE International Conference on High Performance Computing, HiPC 2018. Institute of Electrical and Electronics Engineers Inc., p. 42-51 10 p. 8638041. (Proceedings - 25th IEEE International Conference on High Performance Computing, HiPC 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    113 Scopus citations
  • Machine learning based parallel I/O predictive modeling: A case study on lustre file systems

    Madireddy, S., Balaprakash, P., Carns, P., Latham, R., Ross, R., Snyder, S. & Wild, S. M., 2018, High Performance Computing - 33rd International Conference, ISC High Performance 2018, Proceedings. Weiland, M., Keyes, D., Trinitis, C. & Yokota, R. (eds.). Springer Verlag, p. 184-204 21 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10876 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    15 Scopus citations
  • Modeling I/O Performance Variability Using Conditional Variational Autoencoders

    Madireddy, S., Balaprakash, P., Carns, P., Latham, R., Ross, R., Snyder, S. & Wild, S., Oct 29 2018, Proceedings - 2018 IEEE International Conference on Cluster Computing, CLUSTER 2018. Institute of Electrical and Electronics Engineers Inc., p. 109-113 5 p. 8514864. (Proceedings - IEEE International Conference on Cluster Computing, ICCC; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    11 Scopus citations
  • 2017

    Analysis and Correlation of Application I/O Performance and System-Wide I/O Activity

    Madireddy, S., Balaprakash, P., Carns, P., Latham, R., Ross, R., Snyder, S. & Wild, S. M., Sep 6 2017, 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8026844. (2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    20 Scopus citations
  • Analytical performance modeling and validation of Intel's Xeon Phi architecture

    Chunduri, S., Balaprakash, P., Morozov, V., Vishwanath, V. & Kumaran, K., May 15 2017, ACM International Conference on Computing Frontiers 2017, CF 2017. Association for Computing Machinery, Inc, p. 247-250 4 p. (ACM International Conference on Computing Frontiers 2017, CF 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations
  • Explaining wide area data transfer performance

    Liu, Z., Balaprakash, P., Kettimuthu, R. & Foster, I., Jun 26 2017, HPDC 2017 - Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery, Inc, p. 167-178 12 p. (HPDC 2017 - Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    38 Scopus citations