Dr. Satish Puri

Dr. Satish PuriMarquette University

Cudahy Hall, 373

MilwaukeeWI53201United States of America(414) 288-8606satish.puri@marquette.eduPersonal Website

Assistant Professor

Department of Computer Science

Satish Puri is an assistant professor in the department of Computer Science. He joined Marquette University in 2016. Satish got his PhD in Computer Science from Georgia State University and undergraduate computer science degree from National Institute of Technology, Durgapur, India. Satish teaches Parallel and Distributed systems, Algorithms, and Hardware Systems. His research has been supported by NSF Career and NSF CRII grants.

Courses Taught

• Data Structure and Algorithms
• Parallel and Distributed Computing

Research Interests

• Parallel and Distributed Computing
• Big Data
• Cloud Computing
• HPC

Publications

• Jie Yang, Satish Puri, and Hui Zhou, Fine-grained Dynamic Load Balancing in Spatial Join by Work Stealing on Distributed Memory,  ACM SIGSPATIAL 28th International Conference on Advances in Geographic Information Systems, 12 pages, Nov 2022.
• Anmol Paudel and Satish Puri,  Accelerating Spatial Autocorrelation Computation with Parallelization, Vectorization and Memory Access Optimization, IEEE/ACM Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022), 11 pages, May 2022.
   DOI: 10.1109/CCGrid54584.2022.00064

• Yiming Liu and Satish Puri. 2020. Efficient Filters for Geometric Intersection Computations using GPU. In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL '20). pp. 487–496.
  DOI:https://doi.org/10.1145/3397536.3422264

• Jie Yang and Satish Puri, "Efficient Parallel and Adaptive Partitioning for Load-balancing in Spatial Join," 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020,
  pp. 810-820, DOI: 10.1109/IPDPS47924.2020.00088

• D. Agarwal, Satish Puri, S.K. Prasad, Crayons: Empowering CyberGIS by Employing Cloud Infrastructure, cyberGIS for Geospatial Discovery and Innovation, geoJournal Library, vol 118. (2018)

Grants

• National Science Foundation CAREER award: Communication-efficient and topology-aware designs for geo-spatial analytics on heterogeneous platforms (2022-2027)