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ORCIDPreeti Malakar
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2020 – today
- 2024
[c36]Shivam Aggarwal, Preeti Malakar:
Evaluating Active-learning Based Performance Prediction of Parallel Applications. e-Science 2024: 1-10- 2023
- [c35]Muzafar Ahmad Wani, Preeti Malakar:
Importance-driven In situ Analysis and Visualization. CCGridW 2023: 325-327 - [c34]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: 684-685 - [c33]Deepak B. Hegde, Preeti Malakar, Amey Karkare:
P2RUTOR: A Programming Tutor for Parallel Programming. HiPCW 2023: 15-22 - [c32]Sagnik Dey, Preeti Malakar:
Online Performance Visualization of Parallel Applications. HiPCW 2023: 59-60 - [c31]Deepak B. Hegde, Preeti Malakar:
Accelerating In Situ Analysis using Non-volatile Memory. SC Workshops 2023: 995-1004 - 2022
- [c30]Tushar Agrawal, Preeti Malakar:
IPMPI: Improved MPI Communication Logger. ExaMPI@SC 2022: 31-40 - [c29]Sushil K. Prasad, Sheikh K. Ghafoor, Ashish Kuvelkar, Preeti Malakar:
4th Workshop on Education for High Performance Computing. HiPCW 2022: 1-3 - [c28]Abir Mukherjee, Preeti Malakar:
A Deep Learning-Based In Situ Analysis Framework for Tropical Cyclogenesis Prediction. HIPC 2022: 166-175 - [c27]Mohit Kumar, Preeti Malakar:
Hierarchical Communication Optimization for FFT. HiPar@SC 2022: 12-21 - 2021
- [c26]Ashish Pal, Preeti Malakar:
An Integrated Job Monitor, Analyzer and Predictor. CLUSTER 2021: 609-617 - [c25]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: 587-594 - [c24]Shobhit Jagga, Preeti Malakar:
Parallel Program Scaling Analysis using Hardware Counters. HPDC 2021: 259-260 - 2020
- [j4]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) - [c23]Ashish Pal, Preeti Malakar:
MAP: A Visual Analytics System for Job Monitoring and Analysis. CLUSTER 2020: 442-448 - [c22]Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar:
Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications. ICCS (2) 2020: 674-693 - [c21]Ashish Kumar Kumar, Naman Jain, Preeti Malakar:
Network and Load-Aware Resource Manager for MPI Programs. ICPP Workshops 2020: 16:1-16:10 - [c20]Priya Mishra, Tushar Agrawal, Preeti Malakar:
Communication-aware Job Scheduling using SLURM. ICPP Workshops 2020: 20:1-20:10
2010 – 2019
- 2019
- [c19]Preeti Malakar:
Experiences of Teaching Parallel Computing to Undergraduates and Post-Graduates. HiPC Workshops 2019: 40-47 - [c18]Megha Agarwal, Divyansh Singhvi, Preeti Malakar, Suren Byna:
Active Learning-based Automatic Tuning and Prediction of Parallel I/O Performance. PDSW@SC 2019: 20-29 - 2018
- [c17]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: 24:1-24:15 - [c16]Preeti Malakar, Prasanna Balaprakash, Venkatram Vishwanath, Vitali A. Morozov, Kalyan Kumaran:
Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications. PMBS@SC 2018: 33-44 - 2017
- [j3]Preeti Malakar, Venkatram Vishwanath:
Hierarchical Read-Write Optimizations for Scientific Applications with Multi-variable Structured Datasets. Int. J. Parallel Program. 45(1): 94-108 (2017) - [j2]Preeti Malakar, Venkatram Vishwanath:
Data movement optimizations for independent MPI I/O on the Blue Gene/Q. Parallel Comput. 61: 35-51 (2017) - [c15]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: 59-70 - [c14]Preeti Malakar, Christopher Knight, Todd S. Munson, Venkatram Vishwanath, Michael E. Papka:
Scalable In situ Analysis of Molecular Dynamics Simulations. ISAV@SC 2017: 1-6 - 2016
- [c13]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: 1038-1042 - [c12]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: 73-81 - [c11]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: 702-715 - 2015
- [c10]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: 833-840 - [c9]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: 115-124 - [c8]Preeti Malakar, Venkatram Vishwanath:
Route-aware independent MPI I/O on the blue gene/Q. DISCS@SC 2015: 5:1-5:8 - [c7]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: 52:1-52:11 - 2013
- [j1]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): 93-107 (2013) - [c6]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: 50-59 - 2012
- [c5]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: 805-817 - [c4]Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar:
Integrated Parallelization of Computations and Visualization for Large-scale Applications. IPDPS Workshops 2012: 2510-2513 - [c3]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: 37 - 2011
- [c2]Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar:
InSt: An Integrated Steering Framework for Critical Weather Applications. ICCS 2011: 116-125 - 2010
- [c1]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: 1-11
Coauthor Index
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