Very high-order compact finite difference schemes on non-uniform grids for incompressible Navier-Stokes equations. - Ratnesh K. Shukla; Mahidhar Tatineni; Xiaolin Zhong (J. Comput. Phys., 2007)

Quantifying performance benefits of overlap using MPI-2 in a seismic modeling application. - Sreeram Potluri; Ping Lai; Karen A. Tomko; Sayantan Sur; Yifeng Cui; Mahidhar Tatineni; Karl W. Schulz; William L. Barth; Amitava Majumdar 001; Dhabaleswar K. Panda 001 (ICS, 2010)

Data intensive analysis on the gordon high performance data and compute system. - Robert S. Sinkovits; Pietro Cicotti; Shawn Strande; Mahidhar Tatineni; Paul Rodríguez; Nicole Wolter; Natasha Balac (KDD, 2011)

Petascale kinetic simulation of the magnetosphere. - Homa Karimabadi; Burlen Loring; H. X. Vu; Yuri A. Omelchenko; Vadim Roytershteyn; William S. Daughton; Tamara B. Sipes; Mahidhar Tatineni; Amitava Majumdar 001; Ümit V. Çatalyürek; Alper Yilmaz (TG, 2011)

Trestles: a high-productivity HPC system targeted to modest-scale and gateway users. - Richard Lee Moore; David L. Hart; Wayne Pfeiffer; Mahidhar Tatineni; Kenneth Yoshimoto; William S. Young (TG, 2011)

Subset removal on massive data with Dash. - Jonathan A. Myers; Mahidhar Tatineni; Robert S. Sinkovits (TG, 2011)

Gordon: design, performance, and experiences deploying and supporting a data intensive supercomputer. - Shawn M. Strande; Pietro Cicotti; Robert S. Sinkovits; William S. Young; Rick Wagner; Mahidhar Tatineni; Eva Hocks; Allan Snavely; Mike Norman (XSEDE, 2012)

Toward a Computational Steering Framework for Large-Scale Composite Structures Based on Continually and Dynamically Injected Sensor Data. - Yuri Bazilevs; Alison L. Marsden; Francesco Lanza di Scalea; Amit Majumdar 001; Mahidhar Tatineni (ICCS, 2012)

In-situ visualization for global hybrid simulations. - Homa Karimabadi; Burlen Loring; Patrick O'Leary; Amitava Majumdar 001; Mahidhar Tatineni; Berk Geveci (XSEDE, 2013)

Hadoop deployment and performance on Gordon data intensive supercomputer. - Mahidhar Tatineni; Jerry Greenberg; Richard P. Wagner; Eva Hocks; Christopher Irving (XSEDE, 2013)

Using Gordon to accelerate LHC science. - 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 (XSEDE, 2013)

Performance of Applications using Dual-Rail InfiniBand 3D Torus network on the Gordon Supercomputer. - Dong Ju Choi; Glenn K. Lockwood; Robert S. Sinkovits; Mahidhar Tatineni (XSEDE, 2014)

SR-IOV: Performance Benefits for Virtualized Interconnects. - Glenn K. Lockwood; Mahidhar Tatineni; Rick Wagner (XSEDE, 2014)

Gateways to Discovery: Cyberinfrastructure for the Long Tail of Science. - Richard Lee Moore; Chaitan Baru; Diane Baxter; Geoffrey Charles Fox; Amitava Majumdar 001; Philip M. Papadopoulos; Wayne Pfeiffer; Robert S. Sinkovits; Shawn Strande; Mahidhar Tatineni; Richard P. Wagner; Nancy Wilkins-Diehr; et al. (XSEDE, 2014)

Efficient 3D Movement-Based Kernel Density Estimator and Application to Wildlife Ecology. - Jeff A. Tracey; James K. Sheppard; Glenn K. Lockwood; Amit Chourasia; Mahidhar Tatineni; Robert N. Fisher; Robert S. Sinkovits (XSEDE, 2014)

Storage utilization in the long tail of science. - Glenn K. Lockwood; Mahidhar Tatineni; Rick Wagner (XSEDE, 2015)

Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies. - 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; et al. (BMC Bioinform., 2015)

Topic Modeling and Visualization for Big Data in Social Sciences. - Nitin Sukhija; Mahidhar Tatineni; Nicole M. Brown; Mark Van Moer; Paul Rodríguez; Spencer Callicott (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Experiences and Benefits of Running RDMA Hadoop and Spark on SDSC Comet. - Mahidhar Tatineni; Xiaoyi Lu; Dong Ju Choi; Amitava Majumdar 001; Dhabaleswar K. Panda 001 (XSEDE, 2016)

User Managed Virtual Clusters in Comet. - Rick Wagner; Philip M. Papadopoulos; Dmitry Mishin; Trevor Cooper; Mahidhar Tatineni; Gregor von Laszewski; Fugang Wang; Geoffrey C. Fox (XSEDE, 2016)

Comet: Tales from the Long Tail: Two Years In and 10, 000 Users Later. - Shawn Strande; Haisong Cai; Trevor Cooper; Karen Flammer; Christopher Irving; Gregor von Laszewski; Amitava Majumdar 001; Dmitry Mishin; Philip M. Papadopoulos; Wayne Pfeiffer; Robert S. Sinkovits; Mahidhar Tatineni; et al. (PEARC, 2017)

Understanding I/O Bottlenecks and Tuning for High Performance I/O on Large HPC Systems: A Case Study. - Manu Shantharam; Mahidhar Tatineni; Dong Ju Choi; Amitava Majumdar 001 (PEARC, 2018)

In-situ Analysis and Visualization of Earthquake Simulation. - Dawei Mu; Jon Moran; Hui Zhou; Yifeng Cui; Ronald Hawkins; Mahidhar Tatineni; Steve Campbell (PEARC, 2019)

Experiences in Building a User Portal for Expanse Supercomputer. - Scott Sakai; Dmitry Mishin; Subhashini Sivagnanam; Mahidhar Tatineni; Martin Kandes; Mary P. Thomas; Christopher Irving; Shawn Strande; Michael L. Norman (PEARC, 2021)

Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering. - Shawn Strande; Haisong Cai; Mahidhar Tatineni; Wayne Pfeiffer; Christopher Irving; Amit Majumdar 001; Dmitry Mishin; Robert S. Sinkovits; Mike Norman; Nicole Wolter; Trevor Cooper; Ilkay Altintas; et al. (PEARC, 2021)

AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. - 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; et al. (Int. J. High Perform. Comput. Appl., 2021)

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. - Ilkay Altintas; Ismael Pérez; Dmitry Mishin; Adrien Trouillaud; Christopher Irving; John J. Graham; Mahidhar Tatineni; Thomas A. DeFanti; Shawn Strande; Larry Smarr; Michael L. Norman (e-Science, 2022)

Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads. - Abhinand Nasari; Hieu Le 002; Richard Lawrence; Zhenhua He; Xin Yang; Mario Krell; Alex Tsyplikhin; Mahidhar Tatineni; Tim Cockerill; Lisa M. Perez; Dhruva Chakravorty; Honggao Liu (PEARC, 2022)

Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From University of California San Diego. - Xiaochen Li; Maximilian Apodaca; Arunav Gupta; Zihao Kong; Hongyi Pan; Hongyu Zhou; Mary P. Thomas; Martin Kandes; Zhaoyi Li; Mahidhar Tatineni; Lewis Carroll (IEEE Trans. Parallel Distributed Syst., 2022)

Voyager - An Innovative Computational Resource for Artificial Intelligence & Machine Learning Applications in Science and Engineering. - Rommie E. Amaro; Jiunn-Yeu Chen; Javier M. Duarte; Thomas E. Hutton; Christopher Irving; Martin C. Kandes; Amit Majumdar 001; Dmitry Y. Mishin; Mai H. Nguyen; Paul Rodríguez; Fernando Silva; Robert S. Sinkovits; et al. (PEARC, 2023)

Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From UC San Diego. - 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; et al. (IEEE Trans. Parallel Distributed Syst., 2023)

Experiences in Managing High-performance Computing Management and Support Tools while Upgrading a Campus Cluster. - Yuwu Chen; Trevor Cooper; Christopher Irving; Mahidhar Tatineni; Nicole Wolter; Dmitry Mishin; Subhashini Sivagnanam (SC Workshops, 2024)

MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. - Gautham Dharuman; Kyle Hippe; Alexander Brace; Sam Foreman; Väinö Hatanpää; Varuni Katti Sastry; Huihuo Zheng; Logan T. Ward; Servesh Muralidharan; Archit Vasan; Bharat Kale; Carla M. Mann; et al. (SC, 2024)

The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster. - Derek Weitzel; Ashton Graves; Sam Albin; Huijun Zhu; Frank Würthwein; Mahidhar Tatineni; Dmitry Mishin; John J. Graham; Elham E Khoda; Mohammad Firas Sada; Larry Smarr; Thomas A. DeFanti (CoRR, 2025)

Reproducibility of the DaCe Framework on NPBench Benchmarks. - Anish Govind; Yuchen Jing; Stefanie Dao; Michael Granado; Rachel Handran; Davit Margarian; Matthew Mikhailov; Danny Vo; Matei-Alexandru Gardus; Khai Vu; Derek Bouius; Bryan Chin; et al. (IEEE Trans. Parallel Distributed Syst., 2025)

Serving LLMs in HPC Clusters: A Comparative Study of Qualcomm Cloud AI 100 Ultra and High-Performance GPUs. - Mohammad Firas Sada; John J. Graham; Elham E Khoda; Mahidhar Tatineni; Dmitry Mishin; Rajesh K. Gupta; Rick Wagner; Larry Smarr; Thomas A. DeFanti; Frank Würthwein (CoRR, 2025)

Real-Time In-Network Machine Learning on P4-Programmable FPGA SmartNICs with Fixed-Point Arithmetic and Taylor. - Mohammad Firas Sada; John J. Graham; Mahidhar Tatineni; Dmitry Mishin; Thomas A. DeFanti; Frank Würthwein (CoRR, 2025)