| 2025 | SPAA | A New Algorithm for Online Scheduling of Rigid Task Graphs with Near-Optimal Competitive Ratio. | Lucas Perotin, Hongyang Sun, Padma Raghavan |
| 2024 | SBAC-PAD | To Protect or Not To Protect: Probability-Aware Selective Protection for Sparse Iterative Solvers. | Daniel Ryley Johnson, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan |
| 2023 | SC | Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts. | Zizhao Chen, Thomas Verrecchia, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan |
| 2021 | ICPP | Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints. | Lucas Perotin, Hongyang Sun, Padma Raghavan |
| 2020 | CLUSTER | Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms. | Anne Benoit, Valentin Le Fvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun |
| 2020 | SBAC-PAD | Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. | Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan |
| 2019 | ICPP | Speculative Scheduling for Stochastic HPC Applications. | Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan |
| 2018 | SBAC-PAD | A Scalability and Sensitivity Study of Parallel Geometric Algorithms for Graph Partitioning. | Shad Kirmani, Hongyang Sun, Padma Raghavan |
| 2017 | HPDC | Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale. | Anne Benoit, Aurlien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun |
| 2016 | ICPP | Locality-Aware Laplacian Mesh Smoothing. | Guillaume Aupy, JeongHyung Park, Padma Raghavan |
| 2015 | ICDCS | Phase Detection with Hidden Markov Models for DVFS on Many-Core Processors. | Joshua Dennis Booth, Jagadish Kotra, Hui Zhao, Mahmut T. Kandemir, Padma Raghavan |
| 2015 | SC | STS-k: a multilevel sparse triangular solution scheme for NUMA multicores. | Humayun Kabir, Joshua Dennis Booth, Guillaume Aupy, Anne Benoit, Yves Robert, Padma Raghavan |
| 2014 | HiPC | A multilevel compressed sparse row format for efficient sparse computations on multicore processors. | Humayun Kabir, Joshua Dennis Booth, Padma Raghavan |
| 2013 | SC | Scalable parallel graph partitioning. | Shad Kirmani, Padma Raghavan |
| 2012 | ICPP | Phase Partitioning Methods for I/O Cache Optimization. | Michael R. Frasca, Padma Raghavan |
| 2012 | ICS | Fault tolerant preconditioned conjugate gradient for sparse linear system solution. | Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan |
| 2012 | SC | NUMA-aware graph mining techniques for performance and energy efficiency. | Michael R. Frasca, Kamesh Madduri, Padma Raghavan |
| 2011 | ICS | Characterizing the impact of soft errors on iterative methods in scientific computing. | Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan |
| 2011 | SC | Virtual I/O caching: dynamic storage cache management for concurrent workloads. | Michael R. Frasca, Ramya Prabhakar, Padma Raghavan, Mahmut T. Kandemir |
| 2010 | CIKM | Feature subspace transformations for enhancing k-means clustering. | Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan |
| 2010 | PPoPP | Intra-application shared cache partitioning for multithreaded applications. | Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan |
| 2009 | CCGRID | Markov Model Based Disk Power Management for Data Intensive Workloads. | Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Padma Raghavan, Ramya Prabhakar |
| 2009 | EuroPar | Hybrid Techniques for Fast Multicore Simulation. | Manu Shantharam, Padma Raghavan, Mahmut T. Kandemir |
| 2009 | ICCS | Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection. | Sanjukta Bhowmick, Brice Toth, Padma Raghavan |
| 2008 | ICCD | Ring data location prediction scheme for Non-Uniform Cache Architectures. | Sayaka Akioka, Feihui Li, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin |
| 2007 | ISCC | Analysis of the IPv4 Address Space Delegation Structure. | Anusha Sriraman, Kevin R. B. Butler, Patrick D. McDaniel, Padma Raghavan |
| 2007 | ISLPED | Phase-aware adaptive hardware selection for power-efficient scientific computations. | Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin |
| 2006 | ICCS | Characterizing the Performance and Energy Attributes of Scientific Simulations. | Sayaka Akioka, Konrad Malkowski, Padma Raghavan, Mary Jane Irwin, Lois C. McInnes, Boyana Norris |
| 2006 | SC | Poster reception - Energy/performance modeling for collective communication in 3-D torus cluster networks. | S. Conner, Greg M. Link, S. Tobita, Mary Jane Irwin, Padma Raghavan |
| 2006 | SC | Poster reception - Toward a power efficient computer architecture for Barnes-Hut N-body simulations. | Konrad Malkowski, Padma Raghavan, Mary Jane Irwin |
| 2005 | ICCS | Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations. | Konrad Malkowski, Padma Raghavan |
| 2004 | CCGRID | Towards a Grid enabled system for multicomponent materials design. | Keita Teranishi, Padma Raghavan, Zi-Kui Liu |
| 2003 | ICCSA | The Role of Multi-method Linear Solvers in PDE-based Simulations. | Sanjukta Bhowmick, Lois C. McInnes, Boyana Norris, Padma Raghavan |
| 2003 | ICCSA | Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. | Keita Teranishi, Padma Raghavan, Chao Yang |
| 2002 | ICCS | A Combinatorial Scheme for Developing Efficient Composite Solvers. | Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi |
| 2002 | SC | A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. | Keita Teranishi, Padma Raghavan, Esmond G. Ng |