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ORCIDMahidhar Tatineni
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2020 – today
- 2023
[j5]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): 1727-1730 (2023)- [c26]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: 278-282 - 2022
- [j4]Xiaochen Li, Maximilian Apodaca, Arunav Gupta, Zihao Kong, Hongyi Pan, Hongyu Zhou, Mary P. 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): 2043-2046 (2022) - [c25]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: 336-345 - [c24]Abhinand Nasari, Hieu Le, Richard Lawrence, Zhenhua He, Xin Yang, Mario Krell, Alex Tsyplikhin, Mahidhar Tatineni, Tim Cockerill, Lisa M. Perez, Dhruva Chakravorty, Honggao Liu:
Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads. PEARC 2022: 19:1-19:9 - [i1]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 abs/2211.06918 (2022) - 2021
- [j3]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) - [c23]Scott Sakai, Dmitry Mishin, Subhashini Sivagnanam, Mahidhar Tatineni, Martin Kandes, Mary P. Thomas, Christopher Irving, Shawn Strande, Michael L. Norman:
Experiences in Building a User Portal for Expanse Supercomputer. PEARC 2021: 30:1-30:4 - [c22]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 P. 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: 47:1-47:4
2010 – 2019
- 2019
- [c21]Dawei Mu, Jon Moran, Hui Zhou, Yifeng Cui, Ronald Hawkins, Mahidhar Tatineni, Steve Campbell:
In-situ Analysis and Visualization of Earthquake Simulation. PEARC 2019: 16:1-16:5 - 2018
- [c20]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: 54:1-54:6 - 2017
- [c19]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: 38:1-38:7 - 2016
- [c18]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: 1198-1205 - [c17]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: 23:1-23:5 - [c16]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: 24:1-24:8 - 2015
- [j2]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: 304:1-304:14 (2015) - [c15]Glenn K. Lockwood, Mahidhar Tatineni, Rick Wagner:
Storage utilization in the long tail of science. XSEDE 2015: 32:1-32:8 - 2014
- [c14]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: 14:1-14:8 - [c13]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: 39:1-39:8 - [c12]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: 43:1-43:6 - [c11]Glenn K. Lockwood, Mahidhar Tatineni, Rick Wagner:
SR-IOV: Performance Benefits for Virtualized Interconnects. XSEDE 2014: 47:1-47:7 - 2013
- [c10]Mahidhar Tatineni, Jerry Greenberg, Richard P. Wagner, Eva Hocks, Christopher Irving:
Hadoop deployment and performance on Gordon data intensive supercomputer. XSEDE 2013: 45:1-45:3 - [c9]Homa Karimabadi, Burlen Loring, Patrick O'Leary, Amitava Majumdar, Mahidhar Tatineni, Berk Geveci:
In-situ visualization for global hybrid simulations. XSEDE 2013: 57:1-57:8 - [c8]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: 59:1-59:4 - 2012
- [c7]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: 3:1-3:8 - [c6]Yuri Bazilevs, Alison L. Marsden, Francesco 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: 1149-1158 - 2011
- [c5]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: 747-748 - [c4]Homa Karimabadi, Burlen Loring, H. X. Vu, Yuri A. Omelchenko, Vadim Roytershteyn, William S. Daughton, Tamara B. Sipes, Mahidhar Tatineni, Amitava Majumdar, Ümit V. Çatalyürek, Alper Yilmaz:
Petascale kinetic simulation of the magnetosphere. TG 2011: 5:1-5:2 - [c3]Jonathan A. Myers, Mahidhar Tatineni, Robert S. Sinkovits:
Subset removal on massive data with Dash. TG 2011: 8:1-8:4 - [c2]Richard Lee 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: 25:1-25:7 - 2010
- [c1]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: 17-25
2000 – 2009
- 2007
- [j1]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): 1064-1094 (2007)
Coauthor Index
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