Probabilistic performance guarantee for real-time tasks with varying computation times. - Too-Seng Tia; Zhong Deng; Mallikarjun Shankar; Matthew F. Storch; Jun Sun 002; L.-C. Wu; Jane W.-S. Liu (IEEE Real Time Technology and Applications Symposium, 1995)

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)

An End-to-End QoS Management Architecture. - Mallikarjun Shankar; Miguel de Miguel; Jane W.-S. Liu (IEEE Real Time Technology and Applications Symposium, 1999)

An End-to-End QoS Management Architecture for Flexible Applications - Mallikarjun Shankar (2001)

SensorNet Operational Prototypes: Building Wide-Area Interoperable Sensor Networks - Extended Abstract. - Mallikarjun Shankar; Bryan L. Gorman; Cyrus M. Smith (DCOSS, 2005)

Seamless Simulation of Hybrid Systems with Discrete Event Software Packages. - James J. Nutaro; Phani Teja Kuruganti; Mallikarjun Shankar (Annual Simulation Symposium, 2007)

Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks. - Mallikarjun Shankar; Alexandre Sorokine; Budhendra L. Bhaduri; David Resseguie; Shashi Shekhar 001; Jin Soung Yoo (GeoS, 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 009; David K. Y. Yau (IPSN, 2007)

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 (CoNEXT, 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 009; Jennifer C. Hou; Xiaochun Xu; Sartaj Sahni (FUSION, 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 009; Jennifer C. Hou (IPSN, 2008)

Control-Based Real-Time Metadata Matching for Information Dissemination. - Ming Chen 002; Xiaorui Wang; Raghul Gunasekaran; Hairong Qi 001; Mallikarjun Shankar (RTCSA, 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 009; Chris Y. T. Ma; Mallikarjun Shankar (SenSys, 2008)

An event-driven information dissemination model. - Raghul Gunasekaran; Mallikarjun Shankar; Dieter Gawlick; Steve Fisher; Aravind Yalamanchi; Ronny Fehling; Hairong Qi 001 (DEBS, 2009)

INFOrmation Dissemination (INFOD) middleware. - Raghul Gunasekaran; Mallikarjun Shankar; Dieter Gawlick; Steve Fisher; Aravind Yalamanchi; Ronny Fehling; Hairong Qi 001 (DEBS, 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 009; Sartaj Sahni (FUSION, 2009)

Sensor Placement for Detecting Propagative Sources in Populated Environments. - Yong Yang 009; I-Hong Hou; Jennifer C. Hou; Mallikarjun Shankar; Nageswara S. V. Rao (INFOCOM, 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)

Coverage in Wireless Sensor Networks. - Jennifer C. Hou; David K. Y. Yau; Chris Y. T. Ma; Yong Yang 009; Honghai Zhang; I-Hong Hou; Nageswara S. V. Rao; Mallikarjun Shankar (Guide to Wireless Sensor Networks, 2009)

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 009; Jennifer C. Hou; Srinivasagopalan Srivathsan; S. Sitharama Iyengar (ACM Trans. Sens. Networks, 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)

Moving from descriptive to causal analytics: case study of discovering knowledge from us health indicators warehouse. - Jack C. Schryver; Mallikarjun Shankar; Songhua Xu (SHB, 2012)

Adaptive response time control for metadata matching in information dissemination systems. - Ming Chen 002; Xiaorui Wang; Hairong Qi 001; Mallikarjun Shankar (J. Syst. Archit., 2012)

Addressing extensibility requirements for health informatics data. - Mallikarjun Shankar; Christopher Tomkins-Tinch (SIGHIT Rec., 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)

Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data. - Yubin Park; Joydeep Ghosh; Mallikarjun Shankar (ICHI, 2013)

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 (ICDE Workshops, 2014)

Enabling graph appliance for genome assembly. - Rina Singh; Jeffrey A. Graves; Sangkeun Lee 001; Sreenivas R. Sukumar 001; Mallikarjun Shankar (IEEE BigData, 2015)

Table2Graph: A Scalable Graph Construction from Relational Tables Using Map-Reduce. - Sangkeun Lee 001; Byung H. Park; Seung-Hwan Lim; Mallikarjun Shankar (BigDataService, 2015)

High-performance computing framework for predictive simulation of healthcare delivery innovation. - Byung H. Park; Özgür Özmen; Gil Weigand; Mallikarjun Shankar (BHI, 2016)

URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety. - Sangkeun Lee 002; Liangzhe Chen; Sisi Duan; Supriya Chinthavali; Mallikarjun Shankar; B. Aditya Prakash (IEEE BigData, 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; et al. (ICCS, 2016)

Utilizing semantic big data for realizing a national-scale infrastructure vulnerability analysis system. - Sangkeun Lee 001; Supriya Chinthavali; Sisi Duan; Mallikarjun Shankar (SBD@SIGMOD, 2016)

Best Effort Broadcast under Cascading Failures in Interdependent Networks. - Sisi Duan; Sangkeun Lee 001; Supriya Chinthavali; Mallikarjun Shankar (ICDCN, 2017)

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 001; Scott Atchley; Sarp Oral; Don E. Maxwell; Verónica G. Vergara Larrea; Adam Bertsch; et al. (SC, 2018)

Defining Big Data Analytics Benchmarks for Next Generation Supercomputers. - Drew Schmidt; Junqi Yin; Michael A. Matheson; Bronson Messer; Mallikarjun Shankar (CoRR, 2018)

Best effort broadcast under cascading failures in interdependent critical infrastructure networks. - Sisi Duan; Sangkeun Lee 001; Supriya Chinthavali; Mallikarjun Shankar (Pervasive Mob. Comput., 2018)

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 (DLS@SC, 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)

GPU lifetimes on titan supercomputer: survival analysis and reliability. - George Ostrouchov; Don Maxwell; Rizwan A. Ashraf; Christian Engelmann; Mallikarjun Shankar; James H. Rogers (SC, 2020)

A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management. - Dale Stansberry; Suhas Somnath; Gregory Shutt; Mallikarjun Shankar (SMC, 2020)

DataFed: Towards Reproducible Research via Federated Data Management. - Dale Stansberry; Suhas Somnath; Jessica Breet; Gregory Shutt; Mallikarjun Shankar (CoRR, 2020)

Data optimization for large batch distributed training of deep neural networks. - Shubhankar Gahlot; Junqi Yin; Mallikarjun Shankar (CoRR, 2020)

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 (IEEE BigData, 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; et al. (MLHPC@SC, 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 (DRBSD@SC, 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; et al. (CoRR, 2021)

Scientific Machine Learning Benchmarks. - Jeyan Thiyagalingam; Mallikarjun Shankar; Geoffrey C. Fox; Tony Hey (CoRR, 2021)

Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications. - Junqi Yin; Feiyi Wang; Mallikarjun Shankar (IPDPS Workshops, 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 (PMBS@SC, 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; et al. (ISC Workshops, 2022)

DeepThermo: Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamics Evaluation of High Entropy Alloys. - Junqi Yin; Feiyi Wang; Mallikarjun Arjun Shankar (IPDPS, 2023)

FORGE: Pre-Training Open Foundation Models for Science. - Junqi Yin; Sajal Dash; Feiyi Wang; Mallikarjun Shankar (SC, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

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)

Mixed-precision numerics in scientific applications: survey and perspectives. - Aditya Kashi; Hao Lu; Wesley Brewer; David Rogers; Michael A. Matheson; Mallikarjun Shankar; Feiyi Wang (CoRR, 2024)

Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning. - Kuangdai Leng; Mallikarjun Shankar; Jeyan Thiyagalingam (J. Comput. Phys., 2024)

Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows. - Brian Etz; David M. Rogers 001; Michael J. Brim; Ketan Maheshwari; Kellen Leland; Tyler J. Skluzacek; Jack Lange; Daniel Pelfrey; Jordan Webb; Patrick Widener; Ryan Adamson; Christopher Zimmer 001; et al. (CoRR, 2025)

Secure API-Driven Research Automation to Accelerate Scientific Discovery. - 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 (CoRR, 2025)