Mallikarjun Shankar

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 27

Top Topics

Benchmark Suite

Data Management

Scientific Discovery

Top Venues

Publications

Wesley Brewer, Aditya Kashi, Sajal Dash, Aristeidis Tsaris, Junqi Yin, Mallikarjun Shankar, Feiyi Wang
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. CoRR (2024)
Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning. J. Comput. Phys. 505 (2024)
Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning. CoRR (2023)
Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar
FORGE: Pre-Training Open Foundation Models for Science. SC (2023)
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
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR (2023)
Tainã Coleman, Henri Casanova, Ketan Maheshwari, Loïc Pottier, Sean R. Wilkinson, Justin M. Wozniak, Frédéric Suter, Mallikarjun Shankar, Rafael Ferreira da Silva
WfBench: Automated Generation of Scientific Workflow Benchmarks. CoRR (2022)
Tainã Coleman, Henri Casanova, Ketan Maheshwari, Loïc Pottier, Sean R. Wilkinson, Justin M. Wozniak, Frédéric Suter, Mallikarjun Shankar, Rafael Ferreira da Silva
WfBench: Automated Generation of Scientific Workflow Benchmarks. PMBS@SC (2022)
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
AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. ISC Workshops (2022)
Junqi Yin, Feiyi Wang, Mallikarjun Shankar
Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications. IPDPS Workshops (2022)
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
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC (2021)
Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey
Scientific Machine Learning Benchmarks. CoRR (2021)
Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng
Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. DRBSD@SC (2021)
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
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR (2021)
Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar
DataFed: Towards Reproducible Research via Federated Data Management. CoRR (2020)
Shubhankar Gahlot, Junqi Yin, Mallikarjun Shankar
Data optimization for large batch distributed training of deep neural networks. CoRR (2020)
George Ostrouchov, Don Maxwell, Rizwan A. Ashraf, Christian Engelmann, Mallikarjun Shankar, James H. Rogers
GPU lifetimes on titan supercomputer: survival analysis and reliability. SC (2020)
Dale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar
A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management. SMC (2020)
Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar
Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer. DLS@SC (2019)
David E. Womble, Mallikarjun Shankar, Wayne Joubert, J. Travis Johnston, Jack C. Wells, Jeffrey A. Nichols
Early experiences on Summit: Data analytics and AI applications. IBM J. Res. Dev. 63 (6) (2019)
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
The design, deployment, and evaluation of the CORAL pre-exascale systems. SC (2018)
Drew Schmidt, Junqi Yin, Michael A. Matheson, Bronson Messer, Mallikarjun Shankar
Defining Big Data Analytics Benchmarks for Next Generation Supercomputers. CoRR (2018)
Sisi Duan, Sangkeun Lee, Supriya Chinthavali, Mallikarjun Shankar
Best effort broadcast under cascading failures in interdependent critical infrastructure networks. Pervasive Mob. Comput. 43 (2018)
Sisi Duan, Sangkeun Lee, Supriya Chinthavali, Mallikarjun Shankar
Best Effort Broadcast under Cascading Failures in Interdependent Networks. ICDCN (2017)
Byung H. Park, Özgür Özmen, Gil Weigand, Mallikarjun Shankar
High-performance computing framework for predictive simulation of healthcare delivery innovation. BHI (2016)
Eric J. Lingerfelt, Alex Belianinov, Eirik Endeve, O. Ovchinnikov, Suhas Somnath, Jose M. Borreguero, N. Grodowitz, B. Park, Richard K. Archibald, Christopher T. Symons, S. V. Kalinin, O. E. Bronson Messer, Mallikarjun Shankar, Stephen Jesse
BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments. ICCS (2016)
Sangkeun Lee, Liangzhe Chen, Sisi Duan, Supriya Chinthavali, Mallikarjun Shankar, B. Aditya Prakash
URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety. IEEE BigData (2016)
Sangkeun Lee, Supriya Chinthavali, Sisi Duan, Mallikarjun Shankar
Utilizing semantic big data for realizing a national-scale infrastructure vulnerability analysis system. SBD@SIGMOD (2016)
Sangkeun Lee, Byung H. Park, Seung-Hwan Lim, Mallikarjun Shankar
Table2Graph: A Scalable Graph Construction from Relational Tables Using Map-Reduce. BigDataService (2015)
Rina Singh, Jeffrey A. Graves, Sangkeun Lee, Sreenivas R. Sukumar, Mallikarjun Shankar
Enabling graph appliance for genome assembly. IEEE BigData (2015)
Yubin Park, Mallikarjun Shankar, Byung-Hoon Park, Joydeep Ghosh
Graph databases for large-scale healthcare systems: A framework for efficient data management and data services. ICDE Workshops (2014)
Yubin Park, Joydeep Ghosh, Mallikarjun Shankar
Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data. ICHI (2013)
Mallikarjun Shankar, Christopher Tomkins-Tinch
Addressing extensibility requirements for health informatics data. SIGHIT Rec. 2 (1) (2012)
Ming Chen, Xiaorui Wang, Hairong Qi, Mallikarjun Shankar
Adaptive response time control for metadata matching in information dissemination systems. J. Syst. Archit. 58 (10) (2012)
James J. Nutaro, Phani Teja Kuruganti, Vladimir Protopopescu, Mallikarjun Shankar
The split system approach to managing time in simulations of hybrid systems having continuous and discrete event components. Simul. 88 (3) (2012)
Jack C. Schryver, Mallikarjun Shankar, Songhua Xu
Moving from descriptive to causal analytics: case study of discovering knowledge from us health indicators warehouse. SHB (2012)
Jren-Chit Chin, Nageswara S. V. Rao, David K. Y. Yau, Mallikarjun Shankar, Yong Yang, Jennifer C. Hou, Srinivasagopalan Srivathsan, S. Sitharama Iyengar
Identification of low-level point radioactive sources using a sensor network. ACM Trans. Sens. Networks 7 (3) (2010)
David K. Y. Yau, Nung Kwan Yip, Chris Y. T. Ma, Nageswara S. V. Rao, Mallikarjun Shankar
Quality of monitoring of stochastic events by periodic and proportional-share scheduling of sensor coverage. ACM Trans. Sens. Networks 7 (2) (2010)
Raghul Gunasekaran, Mallikarjun Shankar, Dieter Gawlick, Steve Fisher, Aravind Yalamanchi, Ronny Fehling, Hairong Qi
An event-driven information dissemination model. DEBS (2009)
Chris Y. T. Ma, David K. Y. Yau, Jren-Chit Chin, Nageswara S. V. Rao, Mallikarjun Shankar
Matching and Fairness in Threat-Based Mobile Sensor Coverage. IEEE Trans. Mob. Comput. 8 (12) (2009)
Yong Yang, I-Hong Hou, Jennifer C. Hou, Mallikarjun Shankar, Nageswara S. V. Rao
Sensor Placement for Detecting Propagative Sources in Populated Environments. INFOCOM (2009)
Nageswara S. V. Rao, Charles W. Glover, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Chris Y. T. Ma, Yong Yang, Sartaj Sahni
Improved SPRT detection using localization with application to radiation sources. FUSION (2009)
Raghul Gunasekaran, Mallikarjun Shankar, Dieter Gawlick, Steve Fisher, Aravind Yalamanchi, Ronny Fehling, Hairong Qi
INFOrmation Dissemination (INFOD) middleware. DEBS (2009)
David K. Y. Yau, Nung Kwan Yip, Chris Y. T. Ma, Nageswara S. V. Rao, Mallikarjun Shankar
Quality of monitoring of stochastic events by periodic & proportional-share scheduling of sensor coverage. CoNEXT (2008)
Jren-Chit Chin, David K. Y. Yau, Nageswara S. V. Rao, Yong Yang, Chris Y. T. Ma, Mallikarjun Shankar
Accurate localization of low-level radioactive source under noise and measurement errors. SenSys (2008)
Nageswara S. V. Rao, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Srinivasagopalan Srivathsan, S. Sitharama Iyengar, Yong Yang, Jennifer C. Hou
Identification of Low-Level Point Radiation Sources Using a Sensor Network. IPSN (2008)
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
Localization under random measurements with application to radiation sources. FUSION (2008)
Ming Chen, Xiaorui Wang, Raghul Gunasekaran, Hairong Qi, Mallikarjun Shankar
Control-Based Real-Time Metadata Matching for Information Dissemination. RTCSA (2008)
James J. Nutaro, Phani Teja Kuruganti, Mallikarjun Shankar
Seamless Simulation of Hybrid Systems with Discrete Event Software Packages. Annual Simulation Symposium (2007)
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
A sensor-cyber network testbed for plume detection, identification, and tracking. IPSN (2007)
Mallikarjun Shankar, Alexandre Sorokine, Budhendra L. Bhaduri, David Resseguie, Shashi Shekhar, Jin Soung Yoo
Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks. GeoS (2007)
Mallikarjun Shankar, Bryan L. Gorman, Cyrus M. Smith
SensorNet Operational Prototypes: Building Wide-Area Interoperable Sensor Networks - Extended Abstract. DCOSS (2005)
Mallikarjun Shankar, Miguel De Miguel, Jane W.-S. Liu
An End-to-End QoS Management Architecture. IEEE Real Time Technology and Applications Symposium (1999)
Too-Seng Tia, Jane W.-S. Liu, Mallikarjun Shankar
Algorithms and Optimality of Scheduling Soft Aperiodic Requests in Fixed-Priority Preemptive Systems. Real Time Syst. 10 (1) (1996)
Too-Seng Tia, Zhong Deng, Mallikarjun Shankar, Matthew F. Storch, Jun Sun, L.-C. Wu, Jane W.-S. Liu
Probabilistic performance guarantee for real-time tasks with varying computation times. IEEE Real Time Technology and Applications Symposium (1995)