Hemanth Kolla

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 23

Top Topics

Scientific Data

Top Venues

Publications

Saibal De, Hemanth Kolla, Antoine Meyer, Eric T. Phipps, Francesco Rizzi
Hybrid Parallel Tucker Decomposition of Streaming Data. PASC (2024)
Grant Norman, Jacqueline Wentz, Hemanth Kolla, Kurt Maute, Alireza Doostan
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data. CoRR (2024)
Mathhew Whitlock, Hemanth Kolla, Aurelien Bouteiller, Jackson R. Mayo, Nicolas M. Morales, Keita Teranishi, George Bosilca
Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications. IPDPS (Workshops) (2024)
Saibal De, Zitong Li, Hemanth Kolla, Eric T. Phipps
Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression. CoRR (2023)
Saibal De, Reese E. Jones, Hemanth Kolla
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty. CoRR (2023)
Benjamin Cobb, Hemanth Kolla, Eric Phipps, Ümit V. Çatalyürek
FIST-HOSVD: fused in-place sequentially truncated higher order singular value decomposition. PASC (2022)
Zitong Li, Hemanth Kolla, Eric T. Phipps
Parallel memory-efficient computation of symmetric higher-order joint moment tensors. PASC (2022)
Hemanth Kolla, Jackson R. Mayo, Keita Teranishi, Robert C. Armstrong
Improving Scalability of Silent-Error Resilience for Message-Passing Solvers via Local Recovery and Asynchrony. FTXS@SC (2020)
Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. ACM Trans. Parallel Comput. 7 (2) (2020)
Aditya Konduri, Hemanth Kolla, W. Philip Kegelmeyer, Timothy M. Shead, Julia Ling, Warren L. Davis IV
Anomaly detection in scientific data using joint statistical moments. J. Comput. Phys. 387 (2019)
Sri Raj Paul, Akihiro Hayashi, Nicole Slattengren, Hemanth Kolla, Matthew Whitlock, Seonmyeong Bak, Keita Teranishi, Jackson R. Mayo, Vivek Sarkar
Enabling Resilience in Asynchronous Many-Task Programming Models. Euro-Par (2019)
Prashant Rai, Hemanth Kolla, Lewis Cannada, Alex A. Gorodetsky
Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data. CoRR (2019)
Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe P. Pébay, Janine C. Bennett
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes. IPDPS Workshops (2018)
Shaohua Duan, Pradeep Subedi, Keita Teranishi, Philip E. Davis, Hemanth Kolla, Marc Gamell, Manish Parashar
Scalable Data Resilience for In-memory Data Staging. IPDPS (2018)
Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. SC (2018)
Marc Gamell, Keita Teranishi, Jackson R. Mayo, Hemanth Kolla, Michael A. Heroux, Jacqueline Chen, Manish Parashar
Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales. IEEE Trans. Parallel Distributed Syst. 28 (10) (2017)
Marc Gamell, Keita Teranishi, Hemanth Kolla, Jackson R. Mayo, Michael A. Heroux, Jacqueline Chen, Manish Parashar
Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping. SIAM J. Sci. Comput. 39 (5) (2017)
Philippe P. Pébaÿ, Giulio Borghesi, Hemanth Kolla, Janine C. Bennett, Sean Treichler
A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis. ISAV@SC (2017)
Julia Ling, W. Philip Kegelmeyer, Aditya Konduri, Hemanth Kolla, Kevin A. Reed, Timothy M. Shead, Warren L. Davis IV
Using feature importance metrics to detect events of interest in scientific computing applications. LDAV (2017)
David S. Hollman, Janine C. Bennett, Hemanth Kolla, Jonathan Lifflander, Nicole Slattengren, Jeremiah J. Wilke
Metaprogramming-Enabled Parallel Execution of Apparently Sequential C++ Code. ESPM2@SC (2016)
Philippe P. Pébay, Timothy B. Terriberry, Hemanth Kolla, Janine Bennett
Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights. Comput. Stat. 31 (4) (2016)
Philippe P. Pébay, Janine C. Bennett, David S. Hollman, Sean Treichler, Patrick S. McCormick, Christine Sweeney, Hemanth Kolla, Alex Aiken
Towards Asynchronous Many-Task in Situ Data Analysis Using Legion. IPDPS Workshops (2016)
Yucong Chris Ye, Tyson Neuroth, Franz Sauer, Kwan-Liu Ma, Giulio Borghesi, Aditya Konduri, Hemanth Kolla, Jacqueline Chen
In situ generated probability distribution functions for interactive post hoc visualization and analysis. LDAV (2016)
Wathsala Widanagamaachchi, Jackie Chen, Pavol Klacansky, Valerio Pascucci, Hemanth Kolla, Ankit Bhagatwala, Peer-Timo Bremer
Tracking features in embedded surfaces: Understanding extinction in turbulent combustion. LDAV (2015)
Ray W. Grout, Hemanth Kolla, Michael L. Minion, John B. Bell
Achieving algorithmic resilience for temporal integration through spectral deferred corrections. CoRR (2015)
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Melissa Romanus, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. IPDPS (2015)
Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar
Adaptive data placement for staging-based coupled scientific workflows. SC (2015)
Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar
Exploring Failure Recovery for Stencil-based Applications at Extreme Scales. HPDC (2015)
Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar
Local recovery and failure masking for stencil-based applications at extreme scales. SC (2015)
Hongfeng Yu, Jinrong Xie, Kwan-Liu Ma, Hemanth Kolla, Jacqueline H. Chen
Scalable Parallel Distance Field Construction for Large-Scale Applications. IEEE Trans. Vis. Comput. Graph. 21 (10) (2015)
Jeremiah J. Wilke, Keita Teranishi, Janine C. Bennett, Hemanth Kolla, David S. Hollman, Nicole Slattengren
Evolving the Message Passing Programming Model via a Fault-Tolerant, Object-oriented Transport Layer. FTXS@HPDC (2015)
Attila Gyulassy, Peer-Timo Bremer, Ray W. Grout, Hemanth Kolla, Jacqueline Chen, Valerio Pascucci
Stability of Dissipation Elements: A Case Study in Combustion. Comput. Graph. Forum 33 (3) (2014)
Varis Carey, Hasan Abbasi, Ivan Rodero, Hemanth Kolla
Sensitivity analysis for time dependent problems: optimal checkpoint-recompute HPC workflows. WORKS@SC (2014)
Marc Gamell, Daniel S. Katz, Hemanth Kolla, Jacqueline Chen, Scott Klasky, Manish Parashar
Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales. SC (2014)
Jeremiah J. Wilke, Janine Bennett, Hemanth Kolla, Keita Teranishi, Nicole Slattengren, John Floren
Extreme-Scale Viability of Collective Communication for Resilient Task Scheduling and Work Stealing. DSN (2014)
Aaditya G. Landge, Valerio Pascucci, Attila Gyulassy, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer
In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees. SC (2014)
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, Valerio Pascucci
Fast Multiresolution Reads of Massive Simulation Datasets. ISC (2014)
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows. CLUSTER (2014)
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, Scott Klasky
Exploring power behaviors and trade-offs of in-situ data analytics. SC (2013)
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, Valerio Pascucci
Characterization and modeling of PIDX parallel I/O for performance optimization. SC (2013)
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, Nagiza F. Samatova
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. Trans. Large Scale Data Knowl. Centered Syst. 10 (2013)
Zhenhuan Gong, Sriram Lakshminarasimhan, John Jenkins, Hemanth Kolla, Stéphane Ethier, Jackie Chen, Robert B. Ross, Scott Klasky, Nagiza F. Samatova
Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data. IPDPS (2012)
Janine Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe P. Pébay, David C. Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. SC (2012)
Eric R. Schendel, Saurabh V. Pendse, John Jenkins, David A. Boyuka II, Zhenhuan Gong, Sriram Lakshminarasimhan, Qing Liu, Hemanth Kolla, Jackie Chen, Scott Klasky, Robert B. Ross, Nagiza F. Samatova
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization. HPDC (2012)
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
Efficient data restructuring and aggregation for I/O acceleration in PIDX. SC (2012)
William C. McLendon, Gaurav Bansal, Peer-Timo Bremer, Jacqueline Chen, Hemanth Kolla, Janine Bennett
On the use of graph search techniques for the analysis of extreme-scale combustion simulation data. LDAV (2012)
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
Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying. DEXA (2) (2012)
Zhenhuan Gong, Terry Rogers, John Jenkins, Hemanth Kolla, Stéphane Ethier, Jackie Chen, Robert B. Ross, Scott Klasky, Nagiza F. Samatova
MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns. ICPP (2012)
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, Nagiza F. Samatova
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data. SC (2011)
Sidharth Kumar, Venkatram Vishwanath, Philip H. Carns, Brian Summa, Giorgio Scorzelli, Valerio Pascucci, Robert B. Ross, Jacqueline Chen, Hemanth Kolla, Ray W. Grout
PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets. CLUSTER (2011)
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, Karen Schuchardt, Nagiza F. Samatova
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy. ICDM (2011)