Sidharth Kumar

Assistant Professor at UAB CS

My research lies at the intersection of HPC and Data Analytics. More broadly, I work on problems in big data processing, parallel I/O, scalable algorithms, large data file formats, interactive techniques, scientific visualization, machine learning and performance modeling.

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Sidharth Kumar

Publications Education Projects Teaching

Conference Papers
Mountain View

VisIt-OSPRay: Toward an Exascale Volume Visualization System. Qi Wu, Will Usher, Steve Petruzza, Sidharth Kumar , Feng Wang, Ingo Wald, Valerio Pascucci and Charles D. Hansen. Eurographics Symposium on Parallel Graphics and Visualization 2018.

[EGPGV 2018]
Mountain View

Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation. Sidharth Kumar, Alan Humphrey, Will Usher, Steve Petruzza, Brad Peterson, John A. Schmidt, Derek Harris, Ben Isaac, Jeremy Thornock, Todd Harman, Valerio Pascucci, Martin Berzins. Supercomputing Asia 2018.

[SCA 2018]
Mountain View

Reducing network congestion and synchronization overhead during aggregation of hierarchical data. Sidharth Kumar, Duong Hoang, Steve Petruzza, John Edwards, Valerio Pascucci. IEEE Conference On High Performance Computing, Data, and Analytics.

[HiPC 2017]
Mountain View

Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. Aaditya Landge, Ivan Rodero, Sidharth Kumar, Manish Parasar, Valerio Pascucci, Peer-Timo Bremer. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.

[CCGRID 2016]
Mountain View

Efficient I/O and storage of adaptive resolution data. Sidharth Kumar, John Edwards, Peer-Timo Bremer, Aaron Knoll, Cameron Christensen, Venkatram Vishwanath, Phil Carns, John A. Schmidt, Valerio Pascucci. IEEE Conference On High Performance Computing Networking, Storage And Analysis.

[SC 2014]
Mountain View

Fast multi-resolution reads of massive simulation datasets. Sidharth Kumar, Cameron Christensen, John. A Schmidt, Peer-Timo Bremer, Eric Brugger,Venkatram Vishwanath, Philip Carns, Giorgio Scorzelli, Hemanth Kolla, Ray Grout, Jacqueline Chen, and Valerio Pascucci. The International Supercomputing Conference.

[ISC 2014]
Mountain View

Characterization and modeling of pidx parallel I/O for performance optimization. Sidharth Kumar, Avishek Saha, Venkatram Vishwanath, Philip Carns, John A Schmidt, Giorgio Scorzelli, Hemanth Kolla, Ray Grout, Robert Latham, Robert Ross, Michael E Papkafa, Jacqueline Chen, Valerio Pascucci. IEEE Conference On High Performance Computing Networking, Storage And Analysis.

[SC 2013]
Mountain View

Efficient data restructuring and aggregation for I/O acceleration in PIDX. Sidharth Kumar, Venkatram Vishwanath, Phil Carns, Joshua A. Levine, Robert Latham, Giorgio Scorzelli, Robert Ross, Hemanth Kolla, Ray Grout, Jackie Chen. IEEE Conference On High Performance Computing Networking, Storage And Analysis.

[SC 2012]
Mountain View

PIDX: efficient parallel I/O for multiresolution multi-dimensional scientific datasets. Sidharth Kumar, Venkatram Vishwanath, Phil Carns, Brian Summa, Giorgio Scorzelli, Valerio Pascucci, Robert Ross, Jackie Chen, Hemanth Kolla. IEEE International Conference on Cluster Computing.

[Cluster 2011]

Book Chapters
Mountain View

Big Data From Scientific Simulations. John Edwards, Sidharth Kumar, Valerio Pascucci. Big Data and High Performance Computing, Advances in Parallel Computing, Volume 26, L. Grandinetti, G. Joubert, M. Kunze, V. pascucci, Eds. IOS Press, 2015, pages 32-46.

[Big Data and High Performance Computing 2015]
Mountain View

Scalable Visualization and Interactive Analysis Using Massive Data Streams. V. Pascucci, P.-T. Bremer, A. Gyulassy, G. Scorzelli, C. Christensen, B. Summa, S. Kumar. Cloud Computing and Big Data, Advances in Parallel Computing, Volume 23, C. Catlett, W. Gentzsch, L. Grandinetti, G. Joubert, J. L. Vazquez-Poletti, Eds. IOS Press, 2013, pages 212-230.

[Cloud Computing and Big Data 2013]
Mountain View

The ViSUS Visualization Framework. V. Pascucci, G. Scorzelli, B. Summa, P.-T. Bremer, A. Gyulassy, C. Christensen, S. Philip, and S. Kumar. In High Performance Visualization: Enabling Extreme-Scale Scientific Insight, E. W. Bethel, H. Childs, C. Hansen, Eds. Chapman & Hall/CRC Computational Science, 2012.

[High Performance Visualization 2012]

Workshop Papers
Mountain View

Toward Parallelizing Control-flow Analysis with Datalog. Thomas Gilray, Sidharth Kumar. Scheme and Functional Programming Workshop.

[Scheme 2017]
Mountain View

Towards parallel access of multidimensional, multiresolution scientific data. Sidharth Kumar, Valerio Pascucci, Venkatram Vishwanath, Phil Carns, Robert Latham, Tom Peterka, Michael Papka, Robert Ross. Petascale Data Storage Workshop.

[PDSW 2010]

Mountain View A Scalable and Tunable Adaptive Resolution Parallel I/O Framework

Technical Reports
Mountain View An Integrated Approach to Scaling Task-Based Runtime Systems for Next Generation Engineering Problems.

Alan Humphrey, Bradley Peterson, John Schmidt, Martin Berzins, Derek Harris, Ben Isaac, Jeremy Thornoc, Todd Harman, Sidharth Kumar, Steve Petruzza, Allen Sanderson and Valerio Pascucci. Technical report, SCI Institute, The university of Utah.

[Tech Report 2017]
Mountain View

Symmetry as an organizational principle in cognitive sensor networks. Thomas C Henderson, Y Fan, Sanjay Devnani, Sidharth Kumar, Elaine Cohen, Edward Grant. Technical Report UUCS-09- 005, 2009, The University of Utah

[Tech Report 2009]