All Stories

  1. General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization

    Article • ACM Transactions on Computing Education, March 2023, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  2. ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale

    Article • August 2022, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  3. Quantum Algorithm Implementations for Beginners

    Article • ACM Transactions on Quantum Computing, July 2022, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati, Susan Mniszewski

  4. Hybrid, scalable, trace-driven performance modeling of GPGPUs

    Article • November 2021, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  5. Machine Learning–enabled Scalable Performance Prediction of Scientific Codes

    Article • ACM Transactions on Modeling and Computer Simulation, April 2021, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  6. Distributed non-negative matrix factorization with determination of the number of latent features

    Article • The Journal of Supercomputing, February 2020, Springer Science + Business Media

    Gopinath Chennupati Chennupati

  7. An Out of Memory tSVD for Big-Data Factorization

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Gopinath Chennupati Chennupati

  8. Unsupervised and Supervised Learning over the Energy Landscape for Protein Decoy Selection

    Article • Biomolecules, October 2019, MDPI AG

    Gopinath Chennupati Chennupati

  9. On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks

    Article • June 2019, Office of Scientific and Technical Information (OSTI)

    Gopinath Chennupati Chennupati

  10. A Probabilistic Monte Carlo Framework for Branch Prediction

    Article • September 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Gopinath Chennupati Chennupati

  11. AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes

    Article • September 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Gopinath Chennupati Chennupati

  12. Performance Prediction of Physics Codes on CPUs

    Article • February 2017, Office of Scientific and Technical Information (OSTI)

    Gopinath Chennupati Chennupati

  13. Compute Node Models: Large-scale Amenable Block-Level Simulation for Memory Hierarchies and Pipelines

    Article • February 2017, Office of Scientific and Technical Information (OSTI)

    Gopinath Chennupati Chennupati

  14. Automatic lock-free parallel programming on multi-core processors

    Article • July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Gopinath Chennupati Chennupati

  15. On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms

    Article • July 2015, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  16. Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs

    Article • July 2015, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  17. Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution

    Article • July 2015, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  18. Automatic Evolution of Parallel Recursive Programs

    Article • January 2015, Springer Science + Business Media

    Gopinath Chennupati Chennupati

  19. Automatic Evolution of Parallel Sorting Programs on Multi-cores

    Article • January 2015, Springer Science + Business Media

    Gopinath Chennupati Chennupati

  20. Multi-core GE

    Article • July 2014, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  21. Predict the performance of GE with an ACO based machine learning algorithm

    Article • July 2014, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  22. Predict the success or failure of an evolutionary algorithm run

    Article • July 2014, ACM (Association for Computing Machinery)

    Gopinath Chennupati Chennupati

  23. On the efficiency of Multi-core Grammatical Evolution (MCGE) evolving multi-core parallel programs

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Gopinath Chennupati Chennupati