My Research Papers

I have undertaken numerous research projects in a variety of disciplines ranging from data analytics and high performance computing, distributed systems, data compression, to machine learning, and their applications to real-world problems in scientific simulations, climate, finance, statistics, linear algebra, optimization, engineering as well as medicine. Here, one can:

  • Learn more about the theoretical details of each project.
  • Download related software for each project or view the demo videos, wherever applicable.


Creative Commons License

All papers/presentations Copyright(C) Saurabh V. Pendse are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Permissions beyond the scope of this license may be available at sau2pen at gmail dot com. If you use these documents in your own work or extend them, please cite this website and Saurabh V. Pendse as the copyright holder.

Conference Papers

HPDC 2013
S. Lakshminarasimhan and D. A. Boyuka II, S. V. Pendse, X. Zou, J. Jenkins, V. Vishwanath, M. E. Papka, N. F. Samatova. Scalable In Situ Scientific Data Encoding for Analytical Query Processing. The 22nd International ACM Symposium on High Performance Parallel and Distributed Computing[Download pdf] (Best Paper Award)

HPDC 2012
S. V. Pendse, E. R. Schendel, J. Jenkins, D. A. Boyuka II, Z. Gong, S. Lakshminarasimhan, Q. Liu, S. Klasky, R. Ross, N. F. Samatova. ISOBAR Hybrid Compression-I/O Interleaving for Large-scale Parallel I/O Optimization. The 21st International ACM Symposium on High Performance Parallel and Distributed Computing[Download pdf] (Nominated for best paper, Journal version in preparation)

S V. Pendse, I. K. Tetteh, F. H. M Semazzi, V. Kumar, and N. F. Samatova. Toward Data-driven, Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall. Society of Industrial and Applied Mathematics (SIAM SDM 2012) [Download pdf], [SDM'12 Talk Slides]

N. Shah, E. R. Schendel, S. Lakshminarasimhan, S. V. Pendse, T. Rogers, N. F. Samatova. Improving I/O Throughput with PRIMACY: Preconditioning ID-Mapper for Compressing Incompressibility. 2012 IEEE International Conference on Cluster Computing [DOI]

ASM 2011
I. K. Tetteh and S. V. Pendse, F. H. M Semazzi, V. Kumar and N. F. Samatova, A Physically-Based Phenomenological Model for Investigating Tropical West African Climate Variability. 92nd American Meteorological Society Annual Meeting (Poster Accepted)