Mallikarjun Shankar

According to our database, Mallikarjun Shankar authored at least 56 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning.

Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam

J. Comput. Phys., 2024

Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars.

Wesley Brewer, Aditya Kashi, Sajal Dash, Aristeidis Tsaris, Junqi Yin, Mallikarjun Shankar, Feiyi Wang

CoRR, 2024

2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

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 Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

FORGE: Pre-Training Open Foundation Models for Science.

Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar

Proceedings of the International Conference for High Performance Computing, 2023

DeepThermo: Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamics Evaluation of High Entropy Alloys.

Junqi Yin, Feiyi Wang, Mallikarjun Arjun Shankar

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

AI Benchmarking for Science: Efforts from the MLCommons Science Working Group.

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

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

WfBench: Automated Generation of Scientific Workflow Benchmarks.

Tainã Coleman, Henri Casanova, Ketan Maheshwari, Loïc Pottier, Sean R. Wilkinson, Justin M. Wozniak, Frédéric Suter, Mallikarjun Shankar, Rafael Ferreira da Silva

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications.

Junqi Yin, Feiyi Wang, Mallikarjun Shankar

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Scientific Machine Learning Benchmarks.

Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey

CoRR, 2021

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

CoRR, 2021

Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary.

Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Enabling discovery data science through cross-facility workflows.

Katerina B. Antypas, Deborah Bard, Johannes P. Blaschke, Shane Richard Canon, Bjoern Enders, Mallikarjun Arjun Shankar, Suhas Somnath, Dale Stansberry, Thomas D. Uram, Sean R. Wilkinson

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Data optimization for large batch distributed training of deep neural networks.

Shubhankar Gahlot, Junqi Yin, Mallikarjun Shankar

CoRR, 2020

DataFed: Towards Reproducible Research via Federated Data Management.

Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar

CoRR, 2020

A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management.

Dale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

GPU lifetimes on titan supercomputer: survival analysis and reliability.

George Ostrouchov, Don Maxwell, Rizwan A. Ashraf, Christian Engelmann, Mallikarjun Shankar, James H. Rogers

Proceedings of the International Conference for High Performance Computing, 2020

2019

Early experiences on Summit: Data analytics and AI applications.

David E. Womble, Mallikarjun Shankar, Wayne Joubert, J. Travis Johnston, Jack C. Wells, Jeffrey A. Nichols

IBM J. Res. Dev., 2019

Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer.

Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

2018

Best effort broadcast under cascading failures in interdependent critical infrastructure networks.

Sisi Duan, Sangkeun Lee, Supriya Chinthavali, Mallikarjun Shankar

Pervasive Mob. Comput., 2018

Defining Big Data Analytics Benchmarks for Next Generation Supercomputers.

Drew Schmidt, Junqi Yin, Michael A. Matheson, Bronson Messer, Mallikarjun Shankar

CoRR, 2018

The design, deployment, and evaluation of the CORAL pre-exascale systems.

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

Proceedings of the International Conference for High Performance Computing, 2018

2017

Best Effort Broadcast under Cascading Failures in Interdependent Networks.

Sisi Duan, Sangkeun Lee, Supriya Chinthavali, Mallikarjun Shankar

Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017

2016

Utilizing semantic big data for realizing a national-scale infrastructure vulnerability analysis system.

Sangkeun Lee, Supriya Chinthavali, Sisi Duan, Mallikarjun Shankar

Proceedings of the International Workshop on Semantic Big Data, 2016

BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments.

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

Proceedings of the International Conference on Computational Science 2016, 2016

URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety.

Sangkeun Lee, Liangzhe Chen, Sisi Duan, Supriya Chinthavali, Mallikarjun Shankar, B. Aditya Prakash

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

High-performance computing framework for predictive simulation of healthcare delivery innovation.

Byung H. Park, Özgür Özmen, Gil Weigand, Mallikarjun Shankar

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2015

Table2Graph: A Scalable Graph Construction from Relational Tables Using Map-Reduce.

Sangkeun Lee, Byung H. Park, Seung-Hwan Lim, Mallikarjun Shankar

Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

Enabling graph appliance for genome assembly.

Rina Singh, Jeffrey A. Graves, Sangkeun Lee, Sreenivas R. Sukumar, Mallikarjun Shankar

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Graph databases for large-scale healthcare systems: A framework for efficient data management and data services.

Yubin Park, Mallikarjun Shankar, Byung-Hoon Park, Joydeep Ghosh

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

2013

Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data.

Yubin Park, Joydeep Ghosh, Mallikarjun Shankar

Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

2012

The split system approach to managing time in simulations of hybrid systems having continuous and discrete event components.

James J. Nutaro, Phani Teja Kuruganti, Vladimir Protopopescu, Mallikarjun Shankar

Simul., 2012

Addressing extensibility requirements for health informatics data.

Mallikarjun Shankar, Christopher Tomkins-Tinch

SIGHIT Rec., 2012

Adaptive response time control for metadata matching in information dissemination systems.

Ming Chen, Xiaorui Wang, Hairong Qi, Mallikarjun Shankar

J. Syst. Archit., 2012

Moving from descriptive to causal analytics: case study of discovering knowledge from us health indicators warehouse.

Jack C. Schryver, Mallikarjun Shankar, Songhua Xu

Proceedings of the 2012 International Workshop on Smart Health and Wellbeing, 2012

2010

Quality of monitoring of stochastic events by periodic and proportional-share scheduling of sensor coverage.

David K. Y. Yau, Nung Kwan Yip, Chris Y. T. Ma, Nageswara S. V. Rao, Mallikarjun Shankar

ACM Trans. Sens. Networks, 2010

Identification of low-level point radioactive sources using a sensor network.

Jren-Chit Chin, Nageswara S. V. Rao, David K. Y. Yau, Mallikarjun Shankar, Yong Yang, Jennifer C. Hou, Srinivasagopalan Srivathsan, S. Sitharama Iyengar

ACM Trans. Sens. Networks, 2010

2009

Coverage in 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

Proceedings of the Guide to Wireless Sensor Networks, 2009

Matching and Fairness in Threat-Based Mobile Sensor Coverage.

Chris Y. T. Ma, David K. Y. Yau, Jren-Chit Chin, Nageswara S. V. Rao, Mallikarjun Shankar

IEEE Trans. Mob. Comput., 2009

Sensor Placement for Detecting Propagative Sources in Populated Environments.

Yong Yang, I-Hong Hou, Jennifer C. Hou, Mallikarjun Shankar, Nageswara S. V. Rao

Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Improved SPRT detection using localization with application to radiation sources.

Nageswara S. V. Rao, Charles W. Glover, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Chris Y. T. Ma, Yong Yang, Sartaj Sahni

Proceedings of the 12th International Conference on Information Fusion, 2009

INFOrmation Dissemination (INFOD) middleware.

Raghul Gunasekaran, Mallikarjun Shankar, Dieter Gawlick, Steve Fisher, Aravind Yalamanchi, Ronny Fehling, Hairong Qi

Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, 2009

An event-driven information dissemination model.

Raghul Gunasekaran, Mallikarjun Shankar, Dieter Gawlick, Steve Fisher, Aravind Yalamanchi, Ronny Fehling, Hairong Qi

Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, 2009

2008

Accurate localization of low-level radioactive source under noise and measurement errors.

Jren-Chit Chin, David K. Y. Yau, Nageswara S. V. Rao, Yong Yang, Chris Y. T. Ma, Mallikarjun Shankar

Proceedings of the 6th International Conference on Embedded Networked Sensor Systems, 2008

Control-Based Real-Time Metadata Matching for Information Dissemination.

Ming Chen, Xiaorui Wang, Raghul Gunasekaran, Hairong Qi, Mallikarjun Shankar

Proceedings of the Fourteenth IEEE Internationl Conference on Embedded and Real-Time Computing Systems and Applications, 2008

Identification of Low-Level Point Radiation Sources Using a Sensor Network.

Nageswara S. V. Rao, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Srinivasagopalan Srivathsan, S. Sitharama Iyengar, Yong Yang, Jennifer C. Hou

Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008

Localization under random measurements with application to radiation sources.

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

Proceedings of the 11th International Conference on Information Fusion, 2008

Quality of monitoring of stochastic events by periodic & proportional-share scheduling of sensor coverage.

David K. Y. Yau, Nung Kwan Yip, Chris Y. T. Ma, Nageswara S. V. Rao, Mallikarjun Shankar

Proceedings of the 2008 ACM Conference on Emerging Network Experiment and Technology, 2008

2007

A sensor-cyber network testbed for plume detection, identification, and tracking.

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

Proceedings of the 6th International Conference on Information Processing in Sensor Networks, 2007

Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks.

Mallikarjun Shankar, Alexandre Sorokine, Budhendra L. Bhaduri, David Resseguie, Shashi Shekhar, Jin Soung Yoo

Proceedings of the GeoSpatial Semantics, Second International Conference, 2007

Seamless Simulation of Hybrid Systems with Discrete Event Software Packages.

James J. Nutaro, Phani Teja Kuruganti, Mallikarjun Shankar

Proceedings of the Proceedings 40th Annual Simulation Symposium (ANSS-40 2007), 2007

2005

SensorNet Operational Prototypes: Building Wide-Area Interoperable Sensor Networks - Extended Abstract.

Mallikarjun Shankar, Bryan L. Gorman, Cyrus M. Smith

Proceedings of the Distributed Computing in Sensor Systems, 2005

2001

An End-to-End QoS Management Architecture for Flexible Applications

Mallikarjun Shankar

PhD thesis, 2001

1999

An End-to-End QoS Management Architecture.

Mallikarjun Shankar, Miguel de Miguel, Jane W.-S. Liu

Proceedings of the Fifth IEEE Real-Time Technology and Applications Symposium, 1999

1996

Algorithms and Optimality of Scheduling Soft Aperiodic Requests in Fixed-Priority Preemptive Systems.

Too-Seng Tia, Jane W.-S. Liu, Mallikarjun Shankar

Real Time Syst., 1996

1995

Probabilistic performance guarantee for real-time tasks with varying computation times.

Too-Seng Tia, Zhong Deng, Mallikarjun Shankar, Matthew F. Storch, Jun Sun, L.-C. Wu, Jane W.-S. Liu

Proceedings of the 1st IEEE Real-Time Technology and Applications Symposium, 1995