PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets. - Sidharth Kumar; Venkatram Vishwanath; Philip H. Carns; Brian Summa; Giorgio Scorzelli; Valerio Pascucci; Robert B. Ross; Jacqueline Chen; Hemanth Kolla; Ray W. Grout (CLUSTER, 2011)

S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy. - Ye Jin; Sriram Lakshminarasimhan; Neil Shah; Zhenhuan Gong; Choong-Seock Chang; Jackie Chen; Stéphane Ethier; Hemanth Kolla; Seung-Hoe Ku; Scott Klasky; Robert Latham; Robert B. Ross; et al. (ICDM, 2011)

ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data. - Sriram Lakshminarasimhan; John Jenkins; Isha Arkatkar; Zhenhuan Gong; Hemanth Kolla; Seung-Hoe Ku; Stéphane Ethier; Jackie Chen; Choong-Seock Chang; Scott Klasky; Robert Latham; Robert B. Ross; et al. (SC, 2011)

Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying. - John Jenkins; Isha Arkatkar; Sriram Lakshminarasimhan; Neil Shah; Eric R. Schendel; Stéphane Ethier; Choong-Seock Chang; Jacqueline H. Chen; Hemanth Kolla; Scott Klasky; Robert B. Ross; Nagiza F. Samatova (DEXA (2), 2012)

ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization. - Eric R. Schendel; Saurabh V. Pendse; John Jenkins; David A. Boyuka II; Zhenhuan Gong; Sriram Lakshminarasimhan; Qing Liu 002; Hemanth Kolla; Jackie Chen; Scott Klasky; Robert B. Ross; Nagiza F. Samatova (HPDC, 2012)

MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns. - Zhenhuan Gong; Terry Rogers; John Jenkins; Hemanth Kolla; Stéphane Ethier; Jackie Chen; Robert B. Ross; Scott Klasky; Nagiza F. Samatova (ICPP, 2012)

Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data. - Zhenhuan Gong; Sriram Lakshminarasimhan; John Jenkins; Hemanth Kolla; Stéphane Ethier; Jackie Chen; Robert B. Ross; Scott Klasky; Nagiza F. Samatova (IPDPS, 2012)

On the use of graph search techniques for the analysis of extreme-scale combustion simulation data. - William C. McLendon; Gaurav Bansal; Peer-Timo Bremer; Jacqueline Chen; Hemanth Kolla; Janine Bennett (LDAV, 2012)

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. - Janine Bennett; Hasan Abbasi; Peer-Timo Bremer; Ray W. Grout; Attila Gyulassy; Tong Jin 002; Scott Klasky; Hemanth Kolla; Manish Parashar; Valerio Pascucci; Philippe P. Pébay; David C. Thompson 001; et al. (SC, 2012)

Efficient data restructuring and aggregation for I/O acceleration in PIDX. - Sidharth Kumar; Venkatram Vishwanath; Philip H. Carns; Joshua A. Levine; Robert Latham; Giorgio Scorzelli; Hemanth Kolla; Ray W. Grout; Robert B. Ross; Michael E. Papka; Jacqueline Chen; Valerio Pascucci (SC, 2012)

Exploring power behaviors and trade-offs of in-situ data analytics. - Marc Gamell; Ivan Rodero; Manish Parashar; Janine Bennett; Hemanth Kolla; Jacqueline Chen; Peer-Timo Bremer; Aaditya G. Landge; Attila Gyulassy; Patrick S. McCormick; Scott Pakin; Valerio Pascucci; et al. (SC, 2013)

Characterization and modeling of PIDX parallel I/O for performance optimization. - Sidharth Kumar; Avishek Saha; Venkatram Vishwanath; Philip H. Carns; John A. Schmidt; Giorgio Scorzelli; Hemanth Kolla; Ray W. Grout; Robert Latham; Robert B. Ross; Michael E. Papka; Jacqueline Chen; et al. (SC, 2013)

ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. - John Jenkins; Isha Arkatkar; Sriram Lakshminarasimhan; David A. Boyuka II; Eric R. Schendel; Neil Shah; Stéphane Ethier; Choong-Seock Chang; Jackie Chen; Hemanth Kolla; Scott Klasky; Robert B. Ross; et al. (Trans. Large Scale Data Knowl. Centered Syst., 2013)

Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows. - Tong Jin 002; Fan Zhang 004; Qian Sun; Hoang Bui; Norbert Podhorszki; Scott Klasky; Hemanth Kolla; Jacqueline Chen; Robert Hager; Choong-Seock Chang; Manish Parashar (CLUSTER, 2014)

Extreme-Scale Viability of Collective Communication for Resilient Task Scheduling and Work Stealing. - Jeremiah J. Wilke; Janine Bennett; Hemanth Kolla; Keita Teranishi; Nicole Slattengren; John Floren (DSN, 2014)

Sensitivity analysis for time dependent problems: optimal checkpoint-recompute HPC workflows. - Varis Carey; Hasan Abbasi; Ivan Rodero; Hemanth Kolla (WORKS@SC, 2014)

Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales. - Marc Gamell; Daniel S. Katz; Hemanth Kolla; Jacqueline Chen; Scott Klasky; Manish Parashar (SC, 2014)

In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees. - Aaditya G. Landge; Valerio Pascucci; Attila Gyulassy; Janine Bennett; Hemanth Kolla; Jacqueline Chen; Peer-Timo Bremer (SC, 2014)

Fast Multiresolution Reads of Massive Simulation Datasets. - Sidharth Kumar; Cameron Christensen; John A. Schmidt; Peer-Timo Bremer; Eric Brugger; Venkatram Vishwanath; Philip H. Carns; Hemanth Kolla; Ray W. Grout; Jacqueline Chen; Martin Berzins; Giorgio Scorzelli; et al. (ISC, 2014)

Stability of Dissipation Elements: A Case Study in Combustion. - Attila Gyulassy; Peer-Timo Bremer; Ray W. Grout; Hemanth Kolla; Jacqueline Chen; Valerio Pascucci (Comput. Graph. Forum, 2014)

Exploring Failure Recovery for Stencil-based Applications at Extreme Scales. - Marc Gamell; Keita Teranishi; Michael A. Heroux; Jackson R. Mayo; Hemanth Kolla; Jacqueline Chen; Manish Parashar (HPDC, 2015)

Evolving the Message Passing Programming Model via a Fault-Tolerant, Object-oriented Transport Layer. - Jeremiah J. Wilke; Keita Teranishi; Janine C. Bennett; Hemanth Kolla; David S. Hollman; Nicole Slattengren (FTXS@HPDC, 2015)

Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. - Tong Jin 002; Fan Zhang 004; Qian Sun; Hoang Bui; Melissa Romanus; Norbert Podhorszki; Scott Klasky; Hemanth Kolla; Jacqueline Chen; Robert Hager; Choong-Seock Chang; Manish Parashar (IPDPS, 2015)

Tracking features in embedded surfaces: Understanding extinction in turbulent combustion. - Wathsala Widanagamaachchi; Jackie Chen; Pavol Klacansky; Valerio Pascucci; Hemanth Kolla; Ankit Bhagatwala; Peer-Timo Bremer (LDAV, 2015)

Local recovery and failure masking for stencil-based applications at extreme scales. - Marc Gamell; Keita Teranishi; Michael A. Heroux; Jackson R. Mayo; Hemanth Kolla; Jacqueline Chen; Manish Parashar (SC, 2015)

Adaptive data placement for staging-based coupled scientific workflows. - Qian Sun; Tong Jin 002; Melissa Romanus; Hoang Bui; Fan Zhang 004; Hongfeng Yu 001; Hemanth Kolla; Scott Klasky; Jacqueline Chen; Manish Parashar (SC, 2015)

Achieving algorithmic resilience for temporal integration through spectral deferred corrections. - Ray W. Grout; Hemanth Kolla; Michael L. Minion; John B. Bell (CoRR, 2015)

Scalable Parallel Distance Field Construction for Large-Scale Applications. - Hongfeng Yu 001; Jinrong Xie; Kwan-Liu Ma; Hemanth Kolla; Jacqueline H. Chen (IEEE Trans. Vis. Comput. Graph., 2015)

Towards Asynchronous Many-Task in Situ Data Analysis Using Legion. - Philippe P. Pébay; Janine C. Bennett; David S. Hollman; Sean Treichler; Patrick S. McCormick; Christine Sweeney; Hemanth Kolla; Alex Aiken (IPDPS Workshops, 2016)

In situ generated probability distribution functions for interactive post hoc visualization and analysis. - Yucong Chris Ye; Tyson Neuroth; Franz Sauer; Kwan-Liu Ma; Giulio Borghesi; Aditya Konduri; Hemanth Kolla; Jacqueline Chen (LDAV, 2016)

Metaprogramming-Enabled Parallel Execution of Apparently Sequential C++ Code. - David S. Hollman; Janine C. Bennett; Hemanth Kolla; Jonathan Lifflander; Nicole Slattengren; Jeremiah J. Wilke (ESPM2@SC, 2016)

Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights. - Philippe P. Pébay; Timothy B. Terriberry; Hemanth Kolla; Janine Bennett (Comput. Stat., 2016)

Using feature importance metrics to detect events of interest in scientific computing applications. - Julia Ling; W. Philip Kegelmeyer; Aditya Konduri; Hemanth Kolla; Kevin A. Reed; Timothy M. Shead; Warren L. Davis IV (LDAV, 2017)

A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis. - Philippe P. Pébaÿ; Giulio Borghesi; Hemanth Kolla; Janine C. Bennett; Sean Treichler (ISAV@SC, 2017)

Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping. - Marc Gamell; Keita Teranishi; Hemanth Kolla; Jackson R. Mayo; Michael A. Heroux; Jacqueline Chen; Manish Parashar (SIAM J. Sci. Comput., 2017)

Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales. - Marc Gamell; Keita Teranishi; Jackson R. Mayo; Hemanth Kolla; Michael A. Heroux; Jacqueline Chen; Manish Parashar (IEEE Trans. Parallel Distributed Syst., 2017)

Scalable Data Resilience for In-memory Data Staging. - Shaohua Duan; Pradeep Subedi; Keita Teranishi; Philip E. Davis; Hemanth Kolla; Marc Gamell; Manish Parashar (IPDPS, 2018)

Scalable Collectives for Distributed Asynchronous Many-Task Runtimes. - Matthew Whitlock; Hemanth Kolla; Sean Treichler; Philippe P. Pébay; Janine C. Bennett (IPDPS Workshops, 2018)

Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. - Pradeep Subedi; Philip E. Davis; Shaohua Duan; Scott Klasky; Hemanth Kolla; Manish Parashar (SC, 2018)

Enabling Resilience in Asynchronous Many-Task Programming Models. - Sri Raj Paul; Akihiro Hayashi; Nicole Slattengren; Hemanth Kolla; Matthew Whitlock; Seonmyeong Bak; Keita Teranishi; Jackson R. Mayo; Vivek Sarkar (Euro-Par, 2019)

Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data. - Prashant Rai; Hemanth Kolla; Lewis Cannada; Alex A. Gorodetsky (CoRR, 2019)

Anomaly detection in scientific data using joint statistical moments. - Aditya Konduri; Hemanth Kolla; W. Philip Kegelmeyer; Timothy M. Shead; Julia Ling; Warren L. Davis IV (J. Comput. Phys., 2019)

Improving Scalability of Silent-Error Resilience for Message-Passing Solvers via Local Recovery and Asynchrony. - Hemanth Kolla; Jackson R. Mayo; Keita Teranishi; Robert C. Armstrong (FTXS@SC, 2020)

CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. - Shaohua Duan; Pradeep Subedi; Philip E. Davis; Keita Teranishi; Hemanth Kolla; Marc Gamell; Manish Parashar (ACM Trans. Parallel Comput., 2020)

FIST-HOSVD: fused in-place sequentially truncated higher order singular value decomposition. - Benjamin Cobb; Hemanth Kolla; Eric T. Phipps; Ümit V. Çatalyürek (PASC, 2022)

Parallel memory-efficient computation of symmetric higher-order joint moment tensors. - Zitong Li; Hemanth Kolla; Eric T. Phipps (PASC, 2022)

Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression. - Saibal De; Zitong Li; Hemanth Kolla; Eric T. Phipps (CoRR, 2023)

Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty. - Saibal De; Reese E. Jones; Hemanth Kolla (CoRR, 2023)

Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications. - Mathhew Whitlock; Hemanth Kolla; Aurelien Bouteiller; Jackson R. Mayo; Nicolas M. Morales; Keita Teranishi; George Bosilca (IPDPS (Workshops), 2024)

Hybrid Parallel Tucker Decomposition of Streaming Data. - Saibal De; Hemanth Kolla; Antoine Meyer; Eric T. Phipps; Francesco Rizzi (PASC, 2024)

Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data. - Grant Norman; Jacqueline Wentz; Hemanth Kolla; Kurt Maute; Alireza Doostan (CoRR, 2024)

Goal-Oriented Low-Rank Tensor Decompositions for Numerical Simulation Data. - Daniel M. Dunlavy; Eric T. Phipps; Hemanth Kolla; John N. Shadid; Edward G. Phillips (CoRR, 2025)