Prasanna Balaprakash
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
18
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DAC | Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. | Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Prasanna Balaprakash |
| 2025 | SC | LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology. | Renan Souza, Timothy Poteet, Brian Etz, Daniel Rosendo, Amal Gueroudji, Woong Shin, Prasanna Balaprakash, Rafael Ferreira da Silva |
| 2025 | SC | ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. | Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu |
| 2025 | SC | Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling. | Prachi Jadhav, Hongwei Jin, Ewa Deelman, Prasanna Balaprakash |
| 2025 | SC | Bridging Speed and Optimality in Job Scheduling: A Hybrid Ant Colony Optimization Approach for Distributed Systems. | Hongwei Jin, Pawel Zuk, Krishnan Raghavan, Prachi Jadhav, Aiden Hamade, Ewa Deelman, Prasanna Balaprakash |
| 2025 | SC | The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science. | Woong Shin, Renan Souza, Daniel Rosendo, Frdric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva |
| 2025 | SC | Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. | Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang |
| 2024 | IECON | Enhancing Power Distribution System Resilience with Fusion-GNN: A Dynamic Graph Representation Learning Approach. | Boming Liu, Chen Zhang, Jin Dong, Prasanna Balaprakash, Yan Liu, Brett Eiffert |
| 2024 | SC | Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. | Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman |
| 2024 | SC | ChatBLAS: The First AI-Generated and Portable BLAS Library. | Pedro Valero-Lara, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter |
| 2024 | SC | ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. | Xiao Wang, Siyan Liu, Aristeidis Tsaris, Jong-Youl Choi, Ashwin M. Aji, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash |
| 2023 | AISTATS | Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck. | Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo de los Campos, Ian Fischer |
| 2023 | ESANN | Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? | Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash |
| 2023 | ESANN | Multi-Fidelity Reinforcement Learning with Control Variates. | Sami Khairy, Prasanna Balaprakash |
| 2023 | ICMLA | Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems. | Adarsha Balaji, Prasanna Balaprakash |
| 2023 | ICMLA | Graph Pyramid Autoformer for Long- Term Traffic Forecasting. | Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash |
| 2023 | ICS | Transfer-learning-based Autotuning using Gaussian Copula. | Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash |
| 2022 | CLUSTER | HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization. | Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross |
| 2022 | ICPR | AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. | Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash |
| 2022 | ICPR | Continual Learning via Dynamic Programming. | R. Krishnan, Prasanna Balaprakash |
| 2022 | SC | A Taxonomy of Error Sources in HPC I/O Machine Learning Models. | Mihailo Isakov, Mikaela Currier, Eliakin Del Rosario, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Glenn K. Lockwood, Michel A. Kinsy |
| 2022 | SC | Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging. | Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka |
| 2021 | ACML | Learning to Switch Optimizers for Quadratic Programming. | Grant Getzelman, Prasanna Balaprakash |
| 2021 | SC | AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data. | Romain gel, Prasanna Balaprakash, Isabelle Guyon, Venkatram Vishwanath, Fangfang Xia, Rick Stevens, Zhengying Liu |
| 2020 | AAAI | Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. | Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash |
| 2020 | ICPR | Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. | Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane |
| 2020 | MICRO | FIdelity: Efficient Resilience Analysis Framework for Deep Learning Accelerators. | Yi He, Prasanna Balaprakash, Yanjing Li |
| 2020 | SC | HPC I/O throughput bottleneck analysis with explainable local models. | Mihailo Isakov, Eliakin Del Rosario, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Michel A. Kinsy |
| 2020 | SC | Recurrent neural network architecture search for geophysical emulation. | Romit Maulik, Romain Egele, Bethany Lusch, Prasanna Balaprakash |
| 2020 | SC | Gauge: An Interactive Data-Driven Visualization Tool for HPC Application I/O Performance Analysis. | Eliakin Del Rosario, Mikaela Currier, Mihailo Isakov, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Kevin Harms, Shane Snyder, Michel A. Kinsy |
| 2019 | ICPP | Adaptive Learning for Concept Drift in Application Performance Modeling. | Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Glenn K. Lockwood, Robert B. Ross, Shane Snyder, Stefan M. Wild |
| 2019 | SC | Scalable reinforcement-learning-based neural architecture search for cancer deep learning research. | Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens |
| 2018 | CLUSTER | Modeling I/O Performance Variability Using Conditional Variational Autoencoders. | Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild |
| 2018 | HiPC | DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks. | Prasanna Balaprakash, Michael Salim, Thomas D. Uram, Venkat Vishwanath, Stefan M. Wild |
| 2018 | SC | Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications. | Preeti Malakar, Prasanna Balaprakash, Venkatram Vishwanath, Vitali A. Morozov, Kalyan Kumaran |
| 2017 | CLUSTER | MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. | Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jess Labarta, Adrin Cristal, Sriram Krishnamoorthy, Franck Cappello |
| 2017 | HPDC | Explaining Wide Area Data Transfer Performance. | Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster |
| 2016 | CCGRID | Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. | Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. nsal, Jess Labarta, Adrin Cristal, Franck Cappello |
| 2016 | ICPP | Improving Data Transfer Throughput with Direct Search Optimization. | Prasanna Balaprakash, Vitali A. Morozov, Rajkumar Kettimuthu, Kalyan Kumaran, Ian T. Foster |
| 2015 | CLUSTER | Collective I/O Tuning Using Analytical and Machine Learning Models. | Florin Isaila, Prasanna Balaprakash, Stefan M. Wild, Dries Kimpe, Robert Latham, Robert B. Ross, Paul D. Hovland |
| 2015 | FCCM | Autotuning FPGA Design Parameters for Performance and Power. | Azamat Mametjanov, Prasanna Balaprakash, Chekuri Choudary, Paul D. Hovland, Stefan M. Wild, Gerald Sabin |
| 2015 | ICPP | Generating Efficient Tensor Contractions for GPUs. | Thomas Nelson, Axel Rivera, Prasanna Balaprakash, Mary W. Hall, Paul D. Hovland, Elizabeth R. Jessup, Boyana Norris |
| 2014 | CLUSTER | Energy-performance tradeoffs in multilevel checkpoint strategies. | Leonardo Arturo Bautista-Gomez, Prasanna Balaprakash, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland |
| 2014 | SC | Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. | Prasanna Balaprakash, Leonardo Arturo Bautista-Gomez, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland |
| 2013 | CLUSTER | Active-learning-based surrogate models for empirical performance tuning. | Prasanna Balaprakash, Robert B. Gramacy, Stefan M. Wild |
| 2013 | ISPASS | Exascale workload characterization and architecture implications. | Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris |
| 2013 | SC | Multi Objective Optimization of HPC Kernels for Performance, Power, and Energy. | Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild |
| 2012 | SC | Abstract: An Exascale Workload Study. | Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris |
| 2012 | SC | Poster: An Exascale Workload Study. | Prasanna Balaprakash, Darius Buntinas, Anthony Chan, Apala Guha, Rinku Gupta, Sri Hari Krishna Narayanan, Andrew A. Chien, Paul D. Hovland, Boyana Norris |