Mallikarjun Shankar

63 papers A* 1A 5B 3C 3Misc 3Journal 23Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mixed-precision numerics in scientific applications: survey and perspectives. J. Supercomput. Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2025	—	`conf`	AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. SC Workshops Daniel Rosendo, Stephen Dewitt, Renan Souza, Phillipe Austria, Tirthankar Ghosal, Marshall T. McDonnell, Ross Miller, Tyler J. Skluzacek, James Haley, Bruno Turcksin, Jesse McGaha, Benjamin Mintz, Feiyi Wang, Mallikarjun Shankar, Sarp Oral, Rafael Ferreira da Silva
2025	C	`conf`	Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows. ISC Brian Etz, David M. Rogers, Michael J. Brim, Ketan Maheshwari, Kellen Leland, Tyler J. Skluzacek, Jack Lange, Daniel Pelfrey, Jordan Webb, Patrick M. Widener, Ryan Adamson, Christopher Zimmer, Verónica G. Melesse Vergara, Mallikarjun Shankar, Sarp Oral, Rafael Ferreira da Silva
2025	J	`jnl`	Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows. CoRR Brian Etz, David M. Rogers, Michael J. Brim, Ketan Maheshwari, Kellen Leland, Tyler J. Skluzacek, Jack Lange, Daniel Pelfrey, Jordan Webb, Patrick M. Widener, Ryan Adamson, Christopher Zimmer, Verónica G. Vergara Larrea, Mallikarjun Shankar, Sarp Oral, Rafael Ferreira da Silva
2025	A	`conf`	RingX: Scalable Parallel Attention for Long-Context Learning on HPC. SC Junqi Yin, Mijanur Palash, Mallikarjun Shankar, Feiyi Wang
2025	J	`jnl`	Secure API-Driven Research Automation to Accelerate Scientific Discovery. CoRR Tyler J. Skluzacek, Paul Bryant, Arthur J. Ruckman, Daniel Rosendo, Suzanne Prentice, Michael J. Brim, Ryan Adamson, Sarp Oral, Mallikarjun Shankar, Rafael Ferreira da Silva
2024	J	`jnl`	Mixed-precision numerics in scientific applications: survey and perspectives. CoRR Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2024	J	`jnl`	Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. CoRR Wesley Brewer, Aditya Kashi, Sajal Dash, Aristeidis Tsaris, Junqi Yin, Mallikarjun Shankar, Feiyi Wang
2024	J	`jnl`	Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning. J. Comput. Phys. Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	A	`conf`	FORGE: Pre-Training Open Foundation Models for Science. SC Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar
2023	J	`jnl`	Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning. CoRR Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
2022	—	`conf`	AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. ISC Workshops Jeyan Thiyagalingam, Gregor von Laszewski, Junqi Yin, Murali Emani, Juri Papay, Gregg Barrett, Piotr Luszczek, Aristeidis Tsaris, Christine R. Kirkpatrick, Feiyi Wang, Tom Gibbs, Venkatram Vishwanath, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey
2022	—	`conf`	Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications. IPDPS Workshops Junqi Yin, Feiyi Wang, Mallikarjun Shankar
2022	—	`conf`	WfBench: Automated Generation of Scientific Workflow Benchmarks. PMBS@SC Tainã Coleman, Henri Casanova, Ketan Maheshwari, Loïc Pottier, Sean R. Wilkinson, Justin M. Wozniak, Frédéric Suter, Mallikarjun Shankar, Rafael Ferreira da Silva
2022	J	`jnl`	WfBench: Automated Generation of Scientific Workflow Benchmarks. CoRR Tainã Coleman, Henri Casanova, Ketan Maheshwari, Loïc Pottier, Sean R. Wilkinson, Justin M. Wozniak, Frédéric Suter, Mallikarjun Shankar, Rafael Ferreira da Silva
2021	J	`jnl`	MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
2021	—	`conf`	MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
2021	—	`conf`	Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. DRBSD@SC Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng
2021	J	`jnl`	Scientific Machine Learning Benchmarks. CoRR Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey
2020	B	`conf`	A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management. SMC Dale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar
2020	J	`jnl`	Data optimization for large batch distributed training of deep neural networks. CoRR Shubhankar Gahlot, Junqi Yin, Mallikarjun Shankar
2020	J	`jnl`	DataFed: Towards Reproducible Research via Federated Data Management. CoRR Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar
2020	A	`conf`	GPU lifetimes on titan supercomputer: survival analysis and reliability. SC George Ostrouchov, Don Maxwell, Rizwan A. Ashraf, Christian Engelmann, Mallikarjun Shankar, James H. Rogers
2019	J	`jnl`	Early experiences on Summit: Data analytics and AI applications. IBM J. Res. Dev. David E. Womble, Mallikarjun Shankar, Wayne Joubert, J. Travis Johnston, Jack C. Wells, Jeffrey A. Nichols
2019	—	`conf`	Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer. DLS@SC Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar
2018	J	`jnl`	Best effort broadcast under cascading failures in interdependent critical infrastructure networks. Pervasive Mob. Comput. Sisi Duan, SangKeun Lee, Supriya Chinthavali, Mallikarjun Shankar
2018	J	`jnl`	Defining Big Data Analytics Benchmarks for Next Generation Supercomputers. CoRR Drew Schmidt, Junqi Yin, Michael A. Matheson, Bronson Messer, Mallikarjun Shankar
2018	A	`conf`	The design, deployment, and evaluation of the CORAL pre-exascale systems. SC Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, Jim Kahle, Christopher Zimmer, Scott Atchley, Sarp Oral, Don E. Maxwell, Verónica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Chris Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew A. Ezell, Tom Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan S. Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin
2017	Misc	`conf`	Best Effort Broadcast under Cascading Failures in Interdependent Networks. ICDCN Sisi Duan, SangKeun Lee, Supriya Chinthavali, Mallikarjun Shankar
2016	Misc	`conf`	BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments. ICCS Eric J. Lingerfelt, Alex Belianinov, Eirik Endeve, O. Ovchinnikov, Suhas Somnath, Jose M. Borreguero, N. Grodowitz, B. Park, Richard K. Archibald, Christopher T. Symons, Sergei V. Kalinin, O. E. Bronson Messer, Mallikarjun Shankar, Stephen Jesse
2016	—	`conf`	High-performance computing framework for predictive simulation of healthcare delivery innovation. BHI Byung H. Park, Özgür Özmen, Gil Weigand, Mallikarjun Shankar
2016	—	`conf`	URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety. IEEE BigData Sangkeun Lee, Liangzhe Chen, Sisi Duan, Supriya Chinthavali, Mallikarjun Shankar, B. Aditya Prakash
2016	—	`conf`	Utilizing semantic big data for realizing a national-scale infrastructure vulnerability analysis system. SBD@SIGMOD SangKeun Lee, Supriya Chinthavali, Sisi Duan, Mallikarjun Shankar
2015	—	`conf`	Enabling graph appliance for genome assembly. IEEE BigData Rina Singh, Jeffrey A. Graves, SangKeun Lee, Sreenivas R. Sukumar, Mallikarjun Shankar
2015	—	`conf`	Table2Graph: A Scalable Graph Construction from Relational Tables Using Map-Reduce. BigDataService SangKeun Lee, Byung H. Park, Seung-Hwan Lim, Mallikarjun Shankar
2014	—	`conf`	Graph databases for large-scale healthcare systems: A framework for efficient data management and data services. ICDE Workshops Yubin Park, Mallikarjun Shankar, Byung-Hoon Park, Joydeep Ghosh
2013	—	`conf`	Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data. ICHI Yubin Park, Joydeep Ghosh, Mallikarjun Shankar
2012	J	`jnl`	Adaptive response time control for metadata matching in information dissemination systems. J. Syst. Archit. Ming Chen, Xiaorui Wang, Hairong Qi, Mallikarjun Shankar
2012	J	`jnl`	Addressing extensibility requirements for health informatics data. SIGHIT Rec. Mallikarjun Shankar, Christopher Tomkins-Tinch
2012	—	`conf`	Moving from descriptive to causal analytics: case study of discovering knowledge from us health indicators warehouse. SHB Jack C. Schryver, Mallikarjun Shankar, Songhua Xu
2012	J	`jnl`	The split system approach to managing time in simulations of hybrid systems having continuous and discrete event components. Simul. James J. Nutaro, Phani Teja Kuruganti, Vladimir Protopopescu, Mallikarjun Shankar
2010	J	`jnl`	Identification of low-level point radioactive sources using a sensor network. ACM Trans. Sens. Networks Jren-Chit Chin, Nageswara S. V. Rao, David K. Y. Yau, Mallikarjun Shankar, Yong Yang, Jennifer C. Hou, Srinivasagopalan Srivathsan, S. Sitharama Iyengar
2010	J	`jnl`	Quality of monitoring of stochastic events by periodic and proportional-share scheduling of sensor coverage. ACM Trans. Sens. Networks David K. Y. Yau, Nung Kwan Yip, Chris Y. T. Ma, Nageswara S. V. Rao, Mallikarjun Shankar
2009	—	`conf`	An event-driven information dissemination model. DEBS Raghul Gunasekaran, Mallikarjun Shankar, Dieter Gawlick, Steve Fisher, Aravind Yalamanchi, Ronny Fehling, Hairong Qi
2009	—	`ch.`	Coverage in Wireless Sensor Networks. Guide to Wireless Sensor Networks Jennifer C. Hou, David K. Y. Yau, Chris Y. T. Ma, Yong Yang, Honghai Zhang, I-Hong Hou, Nageswara S. V. Rao, Mallikarjun Shankar
2009	—	`conf`	INFOrmation Dissemination (INFOD) middleware. DEBS Raghul Gunasekaran, Mallikarjun Shankar, Dieter Gawlick, Steve Fisher, Aravind Yalamanchi, Ronny Fehling, Hairong Qi
2009	C	`conf`	Improved SPRT detection using localization with application to radiation sources. FUSION Nageswara S. V. Rao, Charles W. Glover, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Chris Y. T. Ma, Yong Yang, Sartaj Sahni
2009	J	`jnl`	Matching and Fairness in Threat-Based Mobile Sensor Coverage. IEEE Trans. Mob. Comput. Chris Y. T. Ma, David K. Y. Yau, Jren-Chit Chin, Nageswara S. V. Rao, Mallikarjun Shankar
2009	A*	`conf`	Sensor Placement for Detecting Propagative Sources in Populated Environments. INFOCOM Yong Yang, I-Hong Hou, Jennifer C. Hou, Mallikarjun Shankar, Nageswara S. V. Rao
2008	Misc	`conf`	Accurate localization of low-level radioactive source under noise and measurement errors. SenSys Jren-Chit Chin, David K. Y. Yau, Nageswara S. V. Rao, Yong Yang, Chris Y. T. Ma, Mallikarjun Shankar
2008	B	`conf`	Control-Based Real-Time Metadata Matching for Information Dissemination. RTCSA Ming Chen, Xiaorui Wang, Raghul Gunasekaran, Hairong Qi, Mallikarjun Shankar
2008	—	`conf`	Identification of Low-Level Point Radiation Sources Using a Sensor Network. IPSN Nageswara S. V. Rao, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Srinivasagopalan Srivathsan, S. Sitharama Iyengar, Yong Yang, Jennifer C. Hou
2008	C	`conf`	Localization under random measurements with application to radiation sources. FUSION Nageswara S. V. Rao, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Chris Y. T. Ma, Yong Yang, Jennifer C. Hou, Xiaochun Xu, Sartaj Sahni
2008	A	`conf`	Quality of monitoring of stochastic events by periodic & proportional-share scheduling of sensor coverage. CoNEXT David K. Y. Yau, Nung Kwan Yip, Chris Y. T. Ma, Nageswara S. V. Rao, Mallikarjun Shankar
2007	—	`conf`	A sensor-cyber network testbed for plume detection, identification, and tracking. IPSN Jren-Chit Chin, I-Hong Hou, Jennifer C. Hou, Chris Y. T. Ma, Nageswara S. V. Rao, Mohit Saxena, Mallikarjun Shankar, Yong Yang, David K. Y. Yau
2007	—	`conf`	Seamless Simulation of Hybrid Systems with Discrete Event Software Packages. Annual Simulation Symposium James J. Nutaro, Phani Teja Kuruganti, Mallikarjun Shankar
2007	—	`conf`	Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks. GeoS Mallikarjun Shankar, Alexandre Sorokine, Budhendra L. Bhaduri, David Resseguie, Shashi Shekhar, Jin Soung Yoo
2005	B	`conf`	SensorNet Operational Prototypes: Building Wide-Area Interoperable Sensor Networks - Extended Abstract. DCOSS Mallikarjun Shankar, Bryan L. Gorman, Cyrus M. Smith
2001	—	`—`	An End-to-End QoS Management Architecture for Flexible Applications Mallikarjun Shankar
1999	—	`conf`	An End-to-End QoS Management Architecture. IEEE Real Time Technology and Applications Symposium Mallikarjun Shankar, Miguel de Miguel, Jane W.-S. Liu
1996	J	`jnl`	Algorithms and Optimality of Scheduling Soft Aperiodic Requests in Fixed-Priority Preemptive Systems. Real Time Syst. Too-Seng Tia, Jane W.-S. Liu, Mallikarjun Shankar
1995	—	`conf`	Probabilistic performance guarantee for real-time tasks with varying computation times. IEEE Real Time Technology and Applications Symposium Too-Seng Tia, Zhong Deng, Mallikarjun Shankar, Matthew F. Storch, Jun Sun, L.-C. Wu, Jane W.-S. Liu