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• High Performance Computing
• Parallel Computing
• Computer Systems
• +4 more

Preeti Malakar is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. She leads the Scalable Parallel Computing Laboratory (SParCL) and previously held positions as a postdoc and Assistant Computer Scientist at Argonne National Laboratory (USA) and was a Visiting Affiliate at Lawrence Berkeley National Laboratory (USA). She completed her PhD from the Indian Institute of Science Bangalore under Prof. Vijay Natarajan and Prof. Sathish Vadhiyar. Her research focuses on high-performance computing systems, parallel I/O optimization, in-situ analysis, and scientific visualization. Key areas include job scheduling, communication optimization for MPI applications, machine learning for performance prediction, and adaptive frameworks for large-scale simulations. Her work integrates HPC with climate modeling and extreme weather prediction. Recent publications emphasize job scheduling with SLURM, deep learning for climate applications, in-situ visualization, and auto-tuning of parallel I/O parameters. Her research consistently targets optimization of HPC systems for scientific domains. Awards: Best Paper Award, EduHiPC 2019 TCPP Best Paper Award, HiPC 2009 She actively advises students in HPC research, with alumni pursuing careers at NVIDIA, Microsoft, Apple, and SAP Labs. Her lab (SParCL) hosts internships and winter schools, including the ACM Winter School on HPC at IIT Kanpur.

Lakshmi Prasad NatarajanView profile

Associate Professor

• Coding for Distributed Computation and Storage
• Index Coding with Side Information
• Network Coding for Wireless Systems
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Lakshmi Prasad Natarajan is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Hyderabad. His research focuses on coding techniques for distributed computation and storage, network coding, wireless communications, and applied mathematics. He earned his Ph.D. from the Indian Institute of Science (IISc) in Bengaluru. His research interests include: Coding for distributed computation and storage Index coding with side information Network coding for wireless systems Space-time codes Wireless communication & networks Applied mathematics Recent work involves developing capacity-achieving codes (BiD Codes, Recursive Subproduct Codes) for 6G communication systems. He actively mentors PhD candidates, emphasizing theoretical research in code constructions and decoder design under the Qualcomm 6G University Research India Program. He acknowledges support from: Department of Science and Technology, Government of India Science and Engineering Research Board, Government of India Qualcomm Inc. He collaborates on projects targeting next-generation communication systems, focusing on algebraic coding and channel optimization. The group provides rigorous theoretical training and academic mentorship to students.