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ORCIDSreenivas R. Sukumar 0001
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- affiliation: Hewlett Packard Enterprise, USA
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2020 – today
- 2024
[j4]Christopher D. Rickett
, Kristyn J. Maschhoff, Sreenivas R. Sukumar:
Optimizing the Cray Graph Engine for performant analytics on cluster, SuperDome Flex, Shasta systems and cloud deployment. Concurr. Comput. Pract. Exp. 36(10) (2024)- 2023
- [c30]Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Maxim A. Ziatdinov, Ann Mary Justine Koomthanam, Suparna Bhattacharya, Ayana Ghosh, Kevin Roccapriore, Sreenivas Rangan Sukumar, Paolo Faraboschi:
Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. SC Workshops 2023: 81-87 - 2021
- [c29]Sreenivas R. Sukumar, Jacob Balma, Cong Xu, Sergey Serebryakov:
Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper. PEHC@SC 2021: 34-43 - [c28]Sreenivas R. Sukumar, Jacob A. Balma, Christopher D. Rickett, Kristyn J. Maschhoff, Joseph Landman, Charles R. Yates, Amar G. Chittiboyina, Yuri K. Peterson, Aaron Vose, Kendall G. Byler, Jérôme Baudry, Ikhlas A. Khan:
The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic. SMC 2021: 157-172 - 2020
- [c27]Christopher D. Rickett, Kristyn J. Maschhoff, Sreenivas R. Sukumar:
Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing. IEEE BigData 2020: 2967-2976 - [c26]Jacob Balma, Aaron D. Vose, Yuri K. Peterson, Amar G. Chittiboyina, Pankaj Pandey, Charles R. Yates, Ikhlas A. Khan, Sreenivas R. Sukumar:
Deep Learning Predicts Protein-Ligand Interactions. IEEE BigData 2020: 5627-5629
2010 – 2019
- 2019
- [c25]Rina Singh, Jeffrey A. Graves, Valentine Anantharaj, Sreenivas R. Sukumar:
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries. IEEE BigData 2019: 4553-4560 - 2018
- [c24]Md Mosharaf Hossain, Thomas M. Hines, Sheikh K. Ghafoor, Sheikh Rabiul Islam, Ramakrishnan Kannan, Sreenivas R. Sukumar:
A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases. IEEE BigData 2018: 3853-3862 - 2016
- [j3]Sangkeun Lee, Sreenivas R. Sukumar, Seokyong Hong, Seung-Hwan Lim:
Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis. Expert Syst. Appl. 48: 9-25 (2016) - [c23]Sreenivas R. Sukumar, Ramakrishnan Kannan, Seung-Hwan Lim, Michael A. Matheson:
Kernels for scalable data analysis in science: Towards an architecture-portable future. IEEE BigData 2016: 1026-1031 - [c22]Zexi Chen, Ranga Raju Vatsavai, Bharathkumar Ramachandra, Qiang Zhang, Nagendra Singh, Sreenivas R. Sukumar:
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. IEEE BigData 2016: 1309-1314 - [c21]Sreenivas R. Sukumar, Michael A. Matheson, Ramakrishnan Kannan, Seung-Hwan Lim:
Mini-apps for high performance data analysis. IEEE BigData 2016: 1483-1492 - [c20]John Harney, Seung-Hwan Lim, Sreenivas R. Sukumar, Dale Stansberry, Peter Xenopoulos:
On-demand data analytics in HPC environments at leadership computing facilities: Challenges and experiences. IEEE BigData 2016: 2087-2096 - [c19]Peter Xenopoulos, Jamison Daniel, Michael A. Matheson, Sreenivas R. Sukumar:
Big data analytics on HPC architectures: Performance and cost. IEEE BigData 2016: 2286-2295 - [c18]Seokyong Hong, Sangkeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai:
Evaluation of Pattern Matching Workloads in Graph Analysis Systems. HPDC 2016: 263-266 - [c17]Luna Xu, Seung-Hwan Lim, Ali Raza Butt, Sreenivas R. Sukumar, Ramakrishnan Kannan:
FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms. PDSW-DISCS@SC 2016: 25-30 - 2015
- [c16]Sreenivas R. Sukumar:
Open research challenges with Big Data - A data-scientist's perspective. IEEE BigData 2015: 1272-1278 - [c15]Katherine Senter, Sreenivas R. Sukumar, Robert M. Patton, Edward Chaum:
Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs. IEEE BigData 2015: 2578-2582 - [c14]Rina Singh, Jeffrey A. Graves, Sangkeun Lee, Sreenivas R. Sukumar, Mallikarjun Shankar:
Enabling graph appliance for genome assembly. IEEE BigData 2015: 2583-2590 - [c13]Sangkeun Lee, Sreenivas R. Sukumar, Seung-Hwan Lim:
Graph mining meets the Semantic Web. ICDE Workshops 2015: 53-58 - [c12]Seung-Hwan Lim, Sangkeun Lee, Gautam Ganesh, Tyler C. Brown, Sreenivas R. Sukumar:
Graph Processing Platforms at Scale: Practices and Experiences. ISPASS 2015: 42-51 - [c11]Li-Shiang Tsay, Sreenivas R. Sukumar, Larry W. Roberts:
Scalable association rule mining with predication on semantic representations of data. TAAI 2015: 180-186 - [p1]Varun Chandola, Jack C. Schryver, Sreenivas R. Sukumar:
Fraud Detection in Healthcare. Healthcare Data Analytics 2015: 577-598 - 2013
- [j2]Sreenivas R. Sukumar, Regina K. Ferrell:
'Big Data' collaboration: Exploring, recording and sharing enterprise knowledge. Inf. Serv. Use 33(3-4): 257-270 (2013) - [c10]Varun Chandola, Sreenivas R. Sukumar, Jack C. Schryver:
Knowledge discovery from massive healthcare claims data. KDD 2013: 1312-1320
2000 – 2009
- 2008
- [c9]Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi:
On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery. CVPR 2008 - [c8]Sreenivas R. Sukumar, David L. Page, Andreas F. Koschan, Mongi A. Abidi:
Towards understanding what makes 3D objects appear simple or complex. CVPR Workshops 2008: 1-8 - [c7]Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi:
Learning structurally discriminant features in 3D faces. ICIP 2008: 1912-1915 - [c6]Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi:
Uncertainty minimization in multi-sensor localization systems using model selection theory. ICPR 2008: 1-4 - 2007
- [c5]Sreenivas R. Sukumar, David L. Page, Hamparsum Bozdogan, Andreas F. Koschan, Mongi A. Abidi:
MuFeSaC: Learning When to Use Which Feature Detector. ICIP (6) 2007: 149-152 - [c4]Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi:
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization. ICRA 2007: 4158-4163 - [c3]Yi Yao, Sreenivas R. Sukumar, Besma R. Abidi, David L. Page, Andreas F. Koschan, Mongi A. Abidi:
Automated Scene-Specific Selection of Feature Detectors for 3D Face Reconstruction. ISVC (1) 2007: 476-487 - 2006
- [j1]Sreenivas R. Sukumar, David L. Page, Andrei V. Gribok, Andreas F. Koschan, Mongi A. Abidi, David J. Gorsich, Grant R. Gerhart:
Robotic three-dimensional imaging system for under-vehicle inspection. J. Electronic Imaging 15(3): 033008 (2006) - [c2]Sreenivas R. Sukumar, David L. Page, Andrei V. Gribok, Andreas F. Koschan, Mongi A. Abidi:
Shape Measure for Identifying Perceptually Informative Parts of 3D Objects. 3DPVT 2006: 679-686 - 2003
- [c1]David L. Page, Andreas F. Koschan, Sreenivas R. Sukumar, Besma Roui-Abidi, Mongi A. Abidi:
Shape analysis algorithm based on information theory. ICIP (1) 2003: 229-232
Coauthor Index
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