Sreenivas R. Sukumar

35 papers A* 3A 1B 5Journal 4Unranked 21

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Evaluating Performance Trade-offs of Caching Strategies for AI-Powered Querying Systems. IEEE Big Data Hyunju Oh, Wei Zhang, Christopher D. Rickett, Sreenivas R. Sukumar, Suren Byna
2024	J	`jnl`	Optimizing the Cray Graph Engine for performant analytics on cluster, SuperDome Flex, Shasta systems and cloud deployment. Concurr. Comput. Pract. Exp. Christopher D. Rickett, Kristyn J. Maschhoff, Sreenivas R. Sukumar
2021	—	`conf`	Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper. PEHC@SC Sreenivas R. Sukumar, Jacob Balma, Cong Xu, Sergey Serebryakov
2021	B	`conf`	The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic. SMC 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
2020	—	`conf`	Deep Learning Predicts Protein-Ligand Interactions. IEEE BigData Jacob Balma, Aaron D. Vose, Yuri K. Peterson, Amar G. Chittiboyina, Pankaj Pandey, Charles R. Yates, Ikhlas A. Khan, Sreenivas R. Sukumar
2020	—	`conf`	Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing. IEEE BigData Christopher D. Rickett, Kristyn J. Maschhoff, Sreenivas R. Sukumar
2019	—	`conf`	Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries. IEEE BigData Rina Singh, Jeffrey A. Graves, Valentine Anantharaj, Sreenivas R. Sukumar
2018	—	`conf`	A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases. IEEE BigData Md Mosharaf Hossain, Thomas M. Hines, Sheikh K. Ghafoor, Sheikh Rabiul Islam, Ramakrishnan Kannan, Sreenivas R. Sukumar
2016	—	`conf`	Big data analytics on HPC architectures: Performance and cost. IEEE BigData Peter Xenopoulos, Jamison Daniel, Michael A. Matheson, Sreenivas R. Sukumar
2016	J	`jnl`	Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis. Expert Syst. Appl. SangKeun Lee, Sreenivas R. Sukumar, Seokyong Hong, Seung-Hwan Lim
2016	A	`conf`	Evaluation of Pattern Matching Workloads in Graph Analysis Systems. HPDC Seokyong Hong, SangKeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai
2016	—	`conf`	FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms. PDSW-DISCS@SC Luna Xu, Seung-Hwan Lim, Ali Raza Butt, Sreenivas R. Sukumar, Ramakrishnan Kannan
2016	—	`conf`	Kernels for scalable data analysis in science: Towards an architecture-portable future. IEEE BigData Sreenivas R. Sukumar, Ramakrishnan Kannan, Seung-Hwan Lim, Michael A. Matheson
2016	—	`conf`	Mini-apps for high performance data analysis. IEEE BigData Sreenivas R. Sukumar, Michael A. Matheson, Ramakrishnan Kannan, Seung-Hwan Lim
2016	—	`conf`	On-demand data analytics in HPC environments at leadership computing facilities: Challenges and experiences. IEEE BigData John Harney, Seung-Hwan Lim, Sreenivas R. Sukumar, Dale Stansberry, Peter Xenopoulos
2016	—	`conf`	Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. IEEE BigData Zexi Chen, Ranga Raju Vatsavai, Bharathkumar Ramachandra, Qiang Zhang, Nagendra Singh, Sreenivas R. Sukumar
2015	—	`conf`	Enabling graph appliance for genome assembly. IEEE BigData Rina Singh, Jeffrey A. Graves, SangKeun Lee, Sreenivas R. Sukumar, Mallikarjun Shankar
2015	—	`ch.`	Fraud Detection in Healthcare. Healthcare Data Analytics Varun Chandola, Jack C. Schryver, Sreenivas R. Sukumar
2015	B	`conf`	Graph Processing Platforms at Scale: Practices and Experiences. ISPASS Seung-Hwan Lim, SangKeun Lee, Gautam Ganesh, Tyler C. Brown, Sreenivas R. Sukumar
2015	—	`conf`	Graph mining meets the Semantic Web. ICDE Workshops SangKeun Lee, Sreenivas R. Sukumar, Seung-Hwan Lim
2015	—	`conf`	Open research challenges with Big Data - A data-scientist's perspective. IEEE BigData Sreenivas R. Sukumar
2015	—	`conf`	Scalable association rule mining with predication on semantic representations of data. TAAI Li-Shiang Tsay, Sreenivas R. Sukumar, Larry W. Roberts
2015	—	`conf`	Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs. IEEE BigData Katherine Senter, Sreenivas R. Sukumar, Robert M. Patton, Edward Chaum
2013	J	`jnl`	'Big Data' collaboration: Exploring, recording and sharing enterprise knowledge. Inf. Serv. Use Sreenivas R. Sukumar, Regina K. Ferrell
2013	A*	`conf`	Knowledge discovery from massive healthcare claims data. KDD Varun Chandola, Sreenivas R. Sukumar, Jack C. Schryver
2008	B	`conf`	Learning structurally discriminant features in 3D faces. ICIP Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi
2008	A*	`conf`	On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery. CVPR Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi
2008	—	`conf`	Towards understanding what makes 3D objects appear simple or complex. CVPR Workshops Sreenivas R. Sukumar, David L. Page, Andreas F. Koschan, Mongi A. Abidi
2008	B	`conf`	Uncertainty minimization in multi-sensor localization systems using model selection theory. ICPR Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi
2007	—	`conf`	Automated Scene-Specific Selection of Feature Detectors for 3D Face Reconstruction. ISVC (1) Yi Yao, Sreenivas R. Sukumar, Besma R. Abidi, David L. Page, Andreas F. Koschan, Mongi A. Abidi
2007	—	`conf`	MuFeSaC: Learning When to Use Which Feature Detector. ICIP (6) Sreenivas R. Sukumar, David L. Page, Hamparsum Bozdogan, Andreas F. Koschan, Mongi A. Abidi
2007	A*	`conf`	Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization. ICRA Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas F. Koschan, Mongi A. Abidi
2006	J	`jnl`	Robotic three-dimensional imaging system for under-vehicle inspection. J. Electronic Imaging Sreenivas R. Sukumar, David L. Page, Andrei V. Gribok, Andreas F. Koschan, Mongi A. Abidi, David J. Gorsich, Grant R. Gerhart
2006	—	`conf`	Shape Measure for Identifying Perceptually Informative Parts of 3D Objects. 3DPVT Sreenivas R. Sukumar, David L. Page, Andrei V. Gribok, Andreas F. Koschan, Mongi A. Abidi
2003	—	`conf`	Shape analysis algorithm based on information theory. ICIP (1) David L. Page, Andreas F. Koschan, Sreenivas R. Sukumar, Besma Roui-Abidi, Mongi A. Abidi