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ORCIDHemanth Kolla
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2020 – today
- 2024
[c38]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: 1164-1166- [c37]Saibal De
, Hemanth Kolla, Antoine Meyer, Eric T. Phipps, Francesco Rizzi:
Hybrid Parallel Tucker Decomposition of Streaming Data. PASC 2024: 20:1-20:12 - [i5]Grant Norman, Jacqueline Wentz, Hemanth Kolla, Kurt Maute, Alireza Doostan:
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data. CoRR abs/2406.02581 (2024) - 2023
- [i4]Saibal De, Zitong Li, Hemanth Kolla, Eric T. Phipps:
Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression. CoRR abs/2308.16395 (2023) - [i3]Saibal De, Reese E. Jones, Hemanth Kolla:
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty. CoRR abs/2310.10831 (2023) - 2022
- [c36]Zitong Li, Hemanth Kolla, Eric T. Phipps:
Parallel memory-efficient computation of symmetric higher-order joint moment tensors. PASC 2022: 10:1-10:11 - [c35]Benjamin Cobb, Hemanth Kolla, Eric T. Phipps, Ümit V. Çatalyürek:
FIST-HOSVD: fused in-place sequentially truncated higher order singular value decomposition. PASC 2022: 15:1-15:11 - 2020
- [j8]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): 12:1-12:29 (2020) - [c34]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: 1-10
2010 – 2019
- 2019
- [j7]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: 522-538 (2019) - [c33]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: 346-360 - [i2]Prashant Rai, Hemanth Kolla, Lewis Cannada, Alex A. Gorodetsky:
Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data. CoRR abs/1907.05884 (2019) - 2018
- [c32]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: 105-115 - [c31]Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe P. Pébay, Janine C. Bennett:
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes. IPDPS Workshops 2018: 436-445 - [c30]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: 73:1-73:11 - 2017
- [j6]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) - [j5]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): 2881-2895 (2017) - [c29]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: 55-63 - [c28]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: 27-31 - 2016
- [j4]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): 1305-1325 (2016) - [c27]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: 1033-1037 - [c26]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: 65-74 - [c25]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: 24-31 - 2015
- [j3]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): 1187-1200 (2015) - [c24]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: 41-46 - [c23]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: 279-282 - [c22]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: 1033-1042 - [c21]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: 9-16 - [c20]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: 65:1-65:12 - [c19]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: 70:1-70:12 - [i1]Ray W. Grout, Hemanth Kolla, Michael L. Minion, John B. Bell:
Achieving algorithmic resilience for temporal integration through spectral deferred corrections. CoRR abs/1504.01329 (2015) - 2014
- [j2]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): 51-60 (2014) - [c18]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: 268-269 - [c17]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: 756-761 - [c16]Varis Carey, Hasan Abbasi, Ivan Rodero, Hemanth Kolla:
Sensitivity analysis for time dependent problems: optimal checkpoint-recompute HPC workflows. WORKS@SC 2014: 20-30 - [c15]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: 895-906 - [c14]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: 1020-1031 - [c13]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: 314-330 - 2013
- [j1]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: 95-114 (2013) - [c12]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: 67:1-67:12 - [c11]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: 77:1-77:12 - 2012
- [c10]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: 16-30 - [c9]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: 61-72 - [c8]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: 239-248 - [c7]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: 873-884 - [c6]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: 57-63 - [c5]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: 49 - [c4]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: 50 - 2011
- [c3]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: 103-111 - [c2]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: 290-299 - [c1]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: 31:1-31:11
Coauthor Index
aka: Jacqueline H. Chen
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