Mahidhar Tatineni

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 15

Top Topics

Storage Utilization

Social Sciences

Bayesian Network Learning

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

Arunav Gupta, John Ge, John Li, Zihao Kong, Kaiwen He, Matthew Mikhailov, Bryan Chin, Xiaochen Li, Maximilian Apodaca, Paul Rodríguez, Mahidhar Tatineni, Mary P. Thomas, Santosh Bhatt
Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From UC San Diego. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Rommie E. Amaro, Jiunn-Yeu Chen, Javier M. Duarte, Thomas E. Hutton, Christopher Irving, Martin C. Kandes, Amit Majumdar, Dmitry Y. Mishin, Mai H. Nguyen, Paul Rodríguez, Fernando Silva, Robert S. Sinkovits, Shawn M. Strande, Mahidhar Tatineni, Leon Si Tran, Nicole Wolter
Voyager - An Innovative Computational Resource for Artificial Intelligence & Machine Learning Applications in Science and Engineering. PEARC (2023)
Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. CoRR (2022)
Abhinand Nasari, Hieu Le, Richard Lawrence, Zhenhua He, Xin Yang, Mario Krell, Alex Tsyplikhin, Mahidhar Tatineni, Tim Cockerill, Lisa Perez, Dhruva Chakravorty, Honggao Liu
Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads. PEARC (2022)
Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. e-Science (2022)
Xiaochen Li, Maximilian Apodaca, Arunav Gupta, Zihao Kong, Hongyi Pan, Hongyu Zhou, Mary Thomas, Martin Kandes, Zhaoyi Li, Mahidhar Tatineni, Lewis Carroll
Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From University of California San Diego. IEEE Trans. Parallel Distributed Syst. 33 (9) (2022)
Shawn Strande, Haisong Cai, Mahidhar Tatineni, Wayne Pfeiffer, Christopher Irving, Amit Majumdar, Dmitry Mishin, Robert S. Sinkovits, Mike Norman, Nicole Wolter, Trevor Cooper, Ilkay Altintas, Marty Kandes, Ismael Pérez, Manu Shantharam, Mary Thomas, Subhashini Sivagnanam, Thomas Hutton
Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering. PEARC (2021)
Scott Sakai, Dmitry Mishin, Subhashini Sivagnanam, Mahidhar Tatineni, Martin Kandes, Mary Thomas, Christopher Irving, Shawn Strande, Michael L. Norman
Experiences in Building a User Portal for Expanse Supercomputer. PEARC (2021)
Lorenzo Casalino, Abigail C. Dommer, Zied Gaieb, Emília P. Barros, Terra Sztain, Surl-Hee Ahn, Anda Trifan, Alexander Brace, Anthony T. Bogetti, Austin Clyde, Heng Ma, Hyungro Lee, Matteo Turilli, Syma Khalid, Lillian T. Chong, Carlos Simmerling, David J. Hardy, Julio D. C. Maia, James C. Phillips, Thorsten Kurth, Abraham C. Stern, Lei Huang, John D. McCalpin, Mahidhar Tatineni, Tom Gibbs, John E. Stone, Shantenu Jha, Arvind Ramanathan, Rommie E. Amaro
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. Int. J. High Perform. Comput. Appl. 35 (5) (2021)
Dawei Mu, Jon Moran, Hui Zhou, Yifeng Cui, Ronald Hawkins, Mahidhar Tatineni, Steve Campbell
In-situ Analysis and Visualization of Earthquake Simulation. PEARC (2019)
Manu Shantharam, Mahidhar Tatineni, Dong Ju Choi, Amitava Majumdar
Understanding I/O Bottlenecks and Tuning for High Performance I/O on Large HPC Systems: A Case Study. PEARC (2018)
Shawn Strande, Haisong Cai, Trevor Cooper, Karen Flammer, Christopher Irving, Gregor von Laszewski, Amitava Majumdar, Dmitry Mishin, Philip M. Papadopoulos, Wayne Pfeiffer, Robert S. Sinkovits, Mahidhar Tatineni, Rick Wagner, Fugang Wang, Nancy Wilkins-Diehr, Nicole Wolter, Michael L. Norman
Comet: Tales from the Long Tail: Two Years In and 10, 000 Users Later. PEARC (2017)
Mahidhar Tatineni, Xiaoyi Lu, Dong Ju Choi, Amitava Majumdar, Dhabaleswar K. Panda
Experiences and Benefits of Running RDMA Hadoop and Spark on SDSC Comet. XSEDE (2016)
Rick Wagner, Philip M. Papadopoulos, Dmitry Mishin, Trevor Cooper, Mahidhar Tatineni, Gregor von Laszewski, Fugang Wang, Geoffrey C. Fox
User Managed Virtual Clusters in Comet. XSEDE (2016)
Nitin Sukhija, Mahidhar Tatineni, Nicole M. Brown, Mark Van Moer, Paul Rodríguez, Spencer Callicott
Topic Modeling and Visualization for Big Data in Social Sciences. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Kristopher Standish, Tristan M. Carland, Glenn K. Lockwood, Wayne Pfeiffer, Mahidhar Tatineni, C. Huang, Sarah Lamberth, Yauheniya Cherkas, Carrie Brodmerkel, Ed Jaeger, Lance Smith, Gunaretnam Rajagopal, Mark Curran, Nicholas J. Schork
Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies. BMC Bioinform. 16 (2015)
Glenn K. Lockwood, Mahidhar Tatineni, Rick Wagner
Storage utilization in the long tail of science. XSEDE (2015)
Richard Lee Moore, Chaitan Baru, Diane Baxter, Geoffrey Charles Fox, Amitava Majumdar, Philip M. Papadopoulos, Wayne Pfeiffer, Robert S. Sinkovits, Shawn Strande, Mahidhar Tatineni, Richard P. Wagner, Nancy Wilkins-Diehr, Michael L. Norman
Gateways to Discovery: Cyberinfrastructure for the Long Tail of Science. XSEDE (2014)
Glenn K. Lockwood, Mahidhar Tatineni, Rick Wagner
SR-IOV: Performance Benefits for Virtualized Interconnects. XSEDE (2014)
Jeff A. Tracey, James K. Sheppard, Glenn K. Lockwood, Amit Chourasia, Mahidhar Tatineni, Robert N. Fisher, Robert S. Sinkovits
Efficient 3D Movement-Based Kernel Density Estimator and Application to Wildlife Ecology. XSEDE (2014)
Dong Ju Choi, Glenn K. Lockwood, Robert S. Sinkovits, Mahidhar Tatineni
Performance of Applications using Dual-Rail InfiniBand 3D Torus network on the Gordon Supercomputer. XSEDE (2014)
Rick Wagner, Mahidhar Tatineni, Eva Hocks, Kenneth Yoshimoto, Scott Sakai, Michael L. Norman, Brian Bockelman, Igor Sfiligoi, Matevz Tadel, James Letts, Frank Würthwein, Lothar Bauerdick
Using Gordon to accelerate LHC science. XSEDE (2013)
Homa Karimabadi, Burlen Loring, Patrick O'Leary, Amitava Majumdar, Mahidhar Tatineni, Berk Geveci
In-situ visualization for global hybrid simulations. XSEDE (2013)
Mahidhar Tatineni, Jerry Greenberg, Richard P. Wagner, Eva Hocks, Christopher Irving
Hadoop deployment and performance on Gordon data intensive supercomputer. XSEDE (2013)
Shawn M. Strande, Pietro Cicotti, Robert S. Sinkovits, William S. Young, Rick Wagner, Mahidhar Tatineni, Eva Hocks, Allan Snavely, Mike Norman
Gordon: design, performance, and experiences deploying and supporting a data intensive supercomputer. XSEDE (2012)
Yuri Bazilevs, Alison L. Marsden, F. Lanza di Scalea, Amit Majumdar, Mahidhar Tatineni
Toward a Computational Steering Framework for Large-Scale Composite Structures Based on Continually and Dynamically Injected Sensor Data. ICCS (2012)
Jonathan A. Myers, Mahidhar Tatineni, Robert S. Sinkovits
Subset removal on massive data with Dash. TG (2011)
Richard L. Moore, David L. Hart, Wayne Pfeiffer, Mahidhar Tatineni, Kenneth Yoshimoto, William S. Young
Trestles: a high-productivity HPC system targeted to modest-scale and gateway users. TG (2011)
Homa Karimabadi, Burlen Loring, H. X. Vu, Yuri A. Omelchenko, Vadim Roytershteyn, William S. Daughton, Tamara B. Sipes, Mahidhar Tatineni, A. Majumdar, U. Catalyurek, A. Yilmaz
Petascale kinetic simulation of the magnetosphere. TG (2011)
Robert S. Sinkovits, Pietro Cicotti, Shawn Strande, Mahidhar Tatineni, Paul Rodríguez, Nicole Wolter, Natasha Balac
Data intensive analysis on the gordon high performance data and compute system. KDD (2011)
Sreeram Potluri, Ping Lai, Karen A. Tomko, Sayantan Sur, Yifeng Cui, Mahidhar Tatineni, Karl W. Schulz, William L. Barth, Amitava Majumdar, Dhabaleswar K. Panda
Quantifying performance benefits of overlap using MPI-2 in a seismic modeling application. ICS (2010)
Ratnesh K. Shukla, Mahidhar Tatineni, Xiaolin Zhong
Very high-order compact finite difference schemes on non-uniform grids for incompressible Navier-Stokes equations. J. Comput. Phys. 224 (2) (2007)