An Adaptive Framework for Simulation and Online Remote Visualization of Critical Climate Applications in Resource-constrained Environments. - Preeti Malakar; Vijay Natarajan; Sathish S. Vadhiyar (SC, 2010)

InSt: An Integrated Steering Framework for Critical Weather Applications. - Preeti Malakar; Vijay Natarajan; Sathish S. Vadhiyar (ICCS, 2011)

Performance Evaluation and Optimization of Nested High Resolution Weather Simulations. - Preeti Malakar; Vaibhav Saxena; Thomas George; Rashmi Mittal; Sameer Kumar 001; Abdul Ghani Naim; Saiful Azmi bin Hj Husain (Euro-Par, 2012)

Integrated Parallelization of Computations and Visualization for Large-scale Applications. - Preeti Malakar; Vijay Natarajan; Sathish S. Vadhiyar (IPDPS Workshops, 2012)

A Diffusion-Based Processor Reallocation Strategy for Tracking Multiple Dynamically Varying Weather Phenomena. - Preeti Malakar; Vijay Natarajan; Sathish S. Vadhiyar; Ravi S. Nanjundiah (ICPP, 2013)

A divide and conquer strategy for scaling weather simulations with multiple regions of interest. - Preeti Malakar; Thomas George; Sameer Kumar 001; Rashmi Mittal; Vijay Natarajan; Yogish Sabharwal; Vaibhav Saxena; Sathish S. Vadhiyar (Sci. Program., 2013)

Multipath Load Balancing for M × N Communication Patterns on the Blue Gene/Q Supercomputer Interconnection Network. - Huy Bui; Robert L. Jacob; Preeti Malakar; Venkatram Vishwanath; Andrew E. Johnson 001; Michael E. Papka; Jason Leigh (CLUSTER, 2015)

Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q. - Huy Bui; Preeti Malakar; Venkatram Vishwanath; Todd S. Munson; Eun-Sung Jung; Andrew E. Johnson 001; Michael E. Papka; Jason Leigh (HiPC, 2015)

Route-aware independent MPI I/O on the blue gene/Q. - Preeti Malakar; Venkatram Vishwanath (DISCS@SC, 2015)

Optimal scheduling of in-situ analysis for large-scale scientific simulations. - Preeti Malakar; Venkatram Vishwanath; Todd S. Munson; Christopher Knight 001; Mark Hereld; Sven Leyffer; Michael E. Papka (SC, 2015)

Coupling LAMMPS and the vl3 Framework for Co-Visualization of Atomistic Simulations. - Silvio Rizzi 001; Mark Hereld; Joseph A. Insley; Preeti Malakar; Michael E. Papka; Thomas D. Uram; Venkatram Vishwanath (IPDPS Workshops, 2016)

Optimal execution of co-analysis for large-scale molecular dynamics simulations. - Preeti Malakar; Venkatram Vishwanath; Christopher Knight 001; Todd S. Munson; Michael E. Papka (SC, 2016)

Topology-Aware Data Aggregation for Intensive I/O on Large-Scale Supercomputers. - Francois Tessier; Preeti Malakar; Venkatram Vishwanath; Emmanuel Jeannot; Florin Isaila (COMHPC@SC, 2016)

A Visual Analytics System for Optimizing Communications in Massively Parallel Applications. - Takanori Fujiwara; Preeti Malakar; Khairi Reda; Venkatram Vishwanath; Michael E. Papka; Kwan-Liu Ma (VAST, 2017)

Scalable In situ Analysis of Molecular Dynamics Simulations. - Preeti Malakar; Christopher Knight 001; Todd S. Munson; Venkatram Vishwanath; Michael E. Papka (ISAV@SC, 2017)

Hierarchical Read-Write Optimizations for Scientific Applications with Multi-variable Structured Datasets. - Preeti Malakar; Venkatram Vishwanath (Int. J. Parallel Program., 2017)

Data movement optimizations for independent MPI I/O on the Blue Gene/Q. - Preeti Malakar; Venkatram Vishwanath (Parallel Comput., 2017)

Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications. - Preeti Malakar; Prasanna Balaprakash; Venkatram Vishwanath; Vitali A. Morozov; Kalyan Kumaran (PMBS@SC, 2018)

Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations. - Preeti Malakar; Todd S. Munson; Christopher Knight 001; Venkatram Vishwanath; Michael E. Papka (SC, 2018)

Experiences of Teaching Parallel Computing to Undergraduates and Post-Graduates. - Preeti Malakar (HiPC Workshops, 2019)

Active Learning-based Automatic Tuning and Prediction of Parallel I/O Performance. - Megha Agarwal; Divyansh Singhvi; Preeti Malakar; Suren Byna (PDSW@SC, 2019)

MAP: A Visual Analytics System for Job Monitoring and Analysis. - Ashish Pal; Preeti Malakar (CLUSTER, 2020)

Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications. - Preeti Malakar; Vijay Natarajan; Sathish S. Vadhiyar (ICCS (2), 2020)

Network and Load-Aware Resource Manager for MPI Programs. - Ashish Kumar Kumar; Naman Jain; Preeti Malakar (ICPP Workshops, 2020)

Communication-aware Job Scheduling using SLURM. - Priya Mishra; Tushar Agrawal; Preeti Malakar (ICPP Workshops, 2020)

A terminology for in situ visualization and analysis systems. - Hank Childs; Sean Ahern; James P. Ahrens; Andrew C. Bauer; Janine Bennett; E. Wes Bethel; Peer-Timo Bremer; Eric Brugger; Joseph Cottam; Matthieu Dorier; Soumya Dutta; Jean M. Favre; et al. (Int. J. High Perform. Comput. Appl., 2020)

An Integrated Job Monitor, Analyzer and Predictor. - Ashish Pal; Preeti Malakar (CLUSTER, 2021)

Execution- and Prediction-Based Auto-Tuning of Parallel Read and Write Parameters. - Megha Agarwal; Pragya Jain; Divyansh Singhvi; Preeti Malakar (HPCC/DSS/SmartCity/DependSys, 2021)

Parallel Program Scaling Analysis using Hardware Counters. - Shobhit Jagga; Preeti Malakar (HPDC, 2021)

IPMPI: Improved MPI Communication Logger. - Tushar Agrawal; Preeti Malakar (ExaMPI@SC, 2022)

A Deep Learning-Based In Situ Analysis Framework for Tropical Cyclogenesis Prediction. - Abir Mukherjee; Preeti Malakar (HIPC, 2022)

4th Workshop on Education for High Performance Computing. - Sushil K. Prasad; Sheikh K. Ghafoor; Ashish Kuvelkar; Preeti Malakar (HiPCW, 2022)

Hierarchical Communication Optimization for FFT. - Mohit Kumar; Preeti Malakar (HiPar@SC, 2022)

CCGRID 2023: A Holistic Approach to Inclusion and Belonging. - Beth Plale; Preeti Malakar; Meenakshi D'Souza; Hemangee K. Kapoor; Yogesh Simmhan; Ilkay Altintas; Manohar Swaminathan 001 (CCGrid, 2023)

Importance-driven In situ Analysis and Visualization. - Muzafar Ahmad Wani; Preeti Malakar (CCGridW, 2023)

Online Performance Visualization of Parallel Applications. - Sagnik Dey; Preeti Malakar (HiPCW, 2023)

P2RUTOR: A Programming Tutor for Parallel Programming. - Deepak B. Hegde; Preeti Malakar; Amey Karkare (HiPCW, 2023)

Accelerating In Situ Analysis using Non-volatile Memory. - Deepak B. Hegde; Preeti Malakar (SC Workshops, 2023)

Evaluating Active-learning Based Performance Prediction of Parallel Applications. - Shivam Aggarwal; Preeti Malakar (e-Science, 2024)

Predictive Modeling of Performance Variability in HPC Applications. - Pratham Sahu; Preeti Malakar (HIPCW, 2024)

Hierarchical Communication Optimization for Distributed DNN Training. - Om Shivam Verma; Preeti Malakar (HIPCW, 2024)