Preeti Malakar

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 32

Top Topics

Molecular Dynamics

Optimal Scheduling

Massively Parallel

Top Venues

Publications

Deepak B. Hegde, Preeti Malakar, Amey Karkare
RUTOR: A Programming Tutor for Parallel Programming. HiPCW (2023)
Muzafar Ahmad Wani, Preeti Malakar
Importance-driven In situ Analysis and Visualization. CCGridW (2023)
Sagnik Dey, Preeti Malakar
Online Performance Visualization of Parallel Applications. HiPCW (2023)
Deepak B. Hegde, Preeti Malakar
Accelerating In Situ Analysis using Non-volatile Memory. SC Workshops (2023)
Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan
CCGRID 2023: A Holistic Approach to Inclusion and Belonging. CCGrid (2023)
Mohit Kumar, Preeti Malakar
Hierarchical Communication Optimization for FFT. HiPar@SC (2022)
Sushil K. Prasad, Sheikh K. Ghafoor, Ashish Kuvelkar, Preeti Malakar
Workshop on Education for High Performance Computing. HiPCW (2022)
Tushar Agrawal, Preeti Malakar
IPMPI: Improved MPI Communication Logger. ExaMPI@SC (2022)
Abir Mukherjee, Preeti Malakar
A Deep Learning-Based In Situ Analysis Framework for Tropical Cyclogenesis Prediction. HIPC (2022)
Ashish Pal, Preeti Malakar
An Integrated Job Monitor, Analyzer and Predictor. CLUSTER (2021)
Shobhit Jagga, Preeti Malakar
Parallel Program Scaling Analysis using Hardware Counters. HPDC (2021)
Megha Agarwal, Pragya Jain, Divyansh Singhvi, Preeti Malakar
Execution- and Prediction-Based Auto-Tuning of Parallel Read and Write Parameters. HPCC/DSS/SmartCity/DependSys (2021)
Ashish Pal, Preeti Malakar
MAP: A Visual Analytics System for Job Monitoring and Analysis. CLUSTER (2020)
Ashish Kumar Kumar, Naman Jain, Preeti Malakar
Network and Load-Aware Resource Manager for MPI Programs. ICPP Workshops (2020)
Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar
Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications. ICCS (2) (2020)
Priya Mishra, Tushar Agrawal, Preeti Malakar
Communication-aware Job Scheduling using SLURM. ICPP Workshops (2020)
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, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34 (6) (2020)
Preeti Malakar
Experiences of Teaching Parallel Computing to Undergraduates and Post-Graduates. HiPC Workshops (2019)
Megha Agarwal, Divyansh Singhvi, Preeti Malakar, Suren Byna
Active Learning-based Automatic Tuning and Prediction of Parallel I/O Performance. PDSW@SC (2019)
Preeti Malakar, Todd S. Munson, Christopher Knight, Venkatram Vishwanath, Michael E. Papka
Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations. SC (2018)
Preeti Malakar, Prasanna Balaprakash, Venkatram Vishwanath, Vitali A. Morozov, Kalyan Kumaran
Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications. PMBS@SC (2018)
Preeti Malakar, Venkatram Vishwanath
Hierarchical Read-Write Optimizations for Scientific Applications with Multi-variable Structured Datasets. Int. J. Parallel Program. 45 (1) (2017)
Takanori Fujiwara, Preeti Malakar, Khairi Reda, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
A Visual Analytics System for Optimizing Communications in Massively Parallel Applications. VAST (2017)
Preeti Malakar, Christopher Knight, Todd S. Munson, Venkatram Vishwanath, Michael E. Papka
Scalable In situ Analysis of Molecular Dynamics Simulations. ISAV@SC (2017)
Preeti Malakar, Venkatram Vishwanath
Data movement optimizations for independent MPI I/O on the Blue Gene/Q. Parallel Comput. 61 (2017)
Preeti Malakar, Venkatram Vishwanath, Christopher Knight, Todd S. Munson, Michael E. Papka
Optimal execution of co-analysis for large-scale molecular dynamics simulations. SC (2016)
Francois Tessier, Preeti Malakar, Venkatram Vishwanath, Emmanuel Jeannot, Florin Isaila
Topology-Aware Data Aggregation for Intensive I/O on Large-Scale Supercomputers. COMHPC@SC (2016)
Silvio Rizzi, Mark Hereld, Joseph A. Insley, Preeti Malakar, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath
Coupling LAMMPS and the vl3 Framework for Co-Visualization of Atomistic Simulations. IPDPS Workshops (2016)
Huy Bui, Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Eun-Sung Jung, Andrew E. Johnson, Michael E. Papka, Jason Leigh
Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q. HiPC (2015)
Preeti Malakar, Venkatram Vishwanath
Route-aware independent MPI I/O on the blue gene/Q. DISCS@SC (2015)
Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael E. Papka
Optimal scheduling of in-situ analysis for large-scale scientific simulations. SC (2015)
Huy Bui, Robert L. Jacob, Preeti Malakar, Venkatram Vishwanath, Andrew E. Johnson, Michael E. Papka, Jason Leigh
Multipath Load Balancing for M × N Communication Patterns on the Blue Gene/Q Supercomputer Interconnection Network. CLUSTER (2015)
Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar, Ravi S. Nanjundiah
A Diffusion-Based Processor Reallocation Strategy for Tracking Multiple Dynamically Varying Weather Phenomena. ICPP (2013)
Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish S. Vadhiyar
A divide and conquer strategy for scaling weather simulations with multiple regions of interest. Sci. Program. 21 (3-4) (2013)
Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar
Integrated Parallelization of Computations and Visualization for Large-scale Applications. IPDPS Workshops (2012)
Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish S. Vadhiyar
A divide and conquer strategy for scaling weather simulations with multiple regions of interest. SC (2012)
Preeti Malakar, Vaibhav Saxena, Thomas George, Rashmi Mittal, Sameer Kumar, Abdul Ghani Naim, Saiful Azmi bin Hj Husain
Performance Evaluation and Optimization of Nested High Resolution Weather Simulations. Euro-Par (2012)
Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar
InSt: An Integrated Steering Framework for Critical Weather Applications. ICCS (2011)
Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar
An Adaptive Framework for Simulation and Online Remote Visualization of Critical Climate Applications in Resource-constrained Environments. SC (2010)