Hemanth Kolla

Orcid: 0000-0003-4969-5870

According to our database1, Hemanth Kolla authored at least 51 papers between 2011 and 2024.

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Bibliography

2024
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data.
CoRR, 2024

Hybrid Parallel Tucker Decomposition of Streaming Data.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty.
CoRR, 2023

Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression.
CoRR, 2023

2022
Parallel memory-efficient computation of symmetric higher-order joint moment tensors.
Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

FIST-HOSVD: fused in-place sequentially truncated higher order singular value decomposition.
Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

2020
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows.
ACM Trans. Parallel Comput., 2020

Improving Scalability of Silent-Error Resilience for Message-Passing Solvers via Local Recovery and Asynchrony.
Proceedings of the 10th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2020

2019
Anomaly detection in scientific data using joint statistical moments.
J. Comput. Phys., 2019

Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data.
CoRR, 2019

Enabling Resilience in Asynchronous Many-Task Programming Models.
Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows.
Proceedings of the International Conference for High Performance Computing, 2018

Scalable Collectives for Distributed Asynchronous Many-Task Runtimes.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Scalable Data Resilience for In-memory Data Staging.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017
Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales.
IEEE Trans. Parallel Distributed Syst., 2017

Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping.
SIAM J. Sci. Comput., 2017

A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis.
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

Using feature importance metrics to detect events of interest in scientific computing applications.
Proceedings of the 7th IEEE Symposium on Large Data Analysis and Visualization, 2017

2016
Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights.
Comput. Stat., 2016

Metaprogramming-Enabled Parallel Execution of Apparently Sequential C++ Code.
Proceedings of the Second International Workshop on Extreme Scale Programming Models and Middleware, 2016

In situ generated probability distribution functions for interactive post hoc visualization and analysis.
Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016

Towards Asynchronous Many-Task in Situ Data Analysis Using Legion.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015
Scalable Parallel Distance Field Construction for Large-Scale Applications.
IEEE Trans. Vis. Comput. Graph., 2015

Achieving algorithmic resilience for temporal integration through spectral deferred corrections.
CoRR, 2015

Adaptive data placement for staging-based coupled scientific workflows.
Proceedings of the International Conference for High Performance Computing, 2015

Local recovery and failure masking for stencil-based applications at extreme scales.
Proceedings of the International Conference for High Performance Computing, 2015

Tracking features in embedded surfaces: Understanding extinction in turbulent combustion.
Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015

Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Evolving the Message Passing Programming Model via a Fault-Tolerant, Object-oriented Transport Layer.
Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale, 2015

Exploring Failure Recovery for Stencil-based Applications at Extreme Scales.
Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014
Stability of Dissipation Elements: A Case Study in Combustion.
Comput. Graph. Forum, 2014

Fast Multiresolution Reads of Massive Simulation Datasets.
Proceedings of the Supercomputing - 29th International Conference, 2014

In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees.
Proceedings of the International Conference for High Performance Computing, 2014

Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales.
Proceedings of the International Conference for High Performance Computing, 2014

Sensitivity analysis for time dependent problems: optimal checkpoint-recompute HPC workflows.
Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science, 2014

Extreme-Scale Viability of Collective Communication for Resilient Task Scheduling and Work Stealing.
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying.
Trans. Large Scale Data Knowl. Centered Syst., 2013

Characterization and modeling of PIDX parallel I/O for performance optimization.
Proceedings of the International Conference for High Performance Computing, 2013

Exploring power behaviors and trade-offs of in-situ data analytics.
Proceedings of the International Conference for High Performance Computing, 2013

2012
Efficient data restructuring and aggregation for I/O acceleration in PIDX.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

On the use of graph search techniques for the analysis of extreme-scale combustion simulation data.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns.
Proceedings of the 41st International Conference on Parallel Processing, 2012

ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying.
Proceedings of the Database and Expert Systems Applications, 2012

2011
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data.
Proceedings of the Conference on High Performance Computing Networking, 2011

S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011


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