Satish Puri

Home   |   Publications   |   Teaching   |   Research Lab   |   Service   |   Awards and Honors   |   ORCID

Research Grant

NSF Career Grant, Communication-efficient and topology-aware designs for geo-spatial analytics on heterogeneous platforms, $511,000, Duration: 2022 - 2027
Link to Project Page: DPU-based Hierarchical Filter and Refine Computations

NSF CRII: MPI-ACC-GIS: Accelerating Geo-Spatial Computations on HPC Platform, $175,000, 2018 - 2021, Link

Best Paper Award

Anmol Paudel and Satish Puri, OpenACC Based GPU Parallelization of Plane Sweep Algorithm for Geometric Intersection,
Fifth Workshop on Accelerator Programming Using Directives, co-located with International Conference for High Performance Computing, Networking, Storage and Analysis (SC18), Dallas, Texas. Link

Graduate Students in Parallel Computing Lab

Anmol Paudel (PhD Graduate, Spring 2022)
- Project: Acceleration of Computational Geometry Algorithms for High Performance Computing based Geo-Spatial Big Data Analysis
- Interned at Microsoft (Summer 2021), Oakridge National Lab, Tennessee (Summer 2020) and Lawrence Livermore National Lab, California (Summer 2019). These national labs are state-of-the-art HPC centers run by Department of Energy.

Jie Yang (PhD Graduate, Spring 2022)
- Project: Workload-aware Spatial Data Partitioning and Load Balancing Algorithms for Parallel Spatial Join by Work Stealing.
- Dissertation Title: Load Balancing Algorithms for Parallel Geo-Spatial Join on HPC Platforms
- Interned at Argonne National Lab, Illinois (Summer 2021).

Yiming Liu (PhD Graduate, Spring 2021)
Phd Dissertation Title: Hierarchical and Adaptive Filter and Refinement Algorithms for Geometric Intersection Computations on GPU. Returned to China after PhD. Works in Energy Sector.


Mingjun Li (Graduated)
Master's Thesis, Title: A Parallel Algorithm and Implementation to Compute Spatial Autocorrelation (Hotspot) Using MATLAB (HotSpots detection). Defended on Spring 2020.
Pursuing CS PhD at Clarkson University, New York.

Undergraduate Students' Project Supervision

Matt Schwennsen, Michigan Technological Univeristy, Michigan, REU Summer 2022
- Project: Approximate Near Neighbor Query for geospatial data.

Jacqueline Gutierrez, Marquette University, Summer 2022
- Project: Using AVX-512 SIMD Intrinsics to speedup computational geometry algorithms.

Ulises Nevarez, Marquette University, Fall 2021
- Project: Using SIMD Intrinsics to speedup computational geometry algorithms.

Theresa Chen, Carleton College, Minnesota, REU Summer 2021
- Project: Using Machine Learning to Predict Sea Ice Features from Remote Sensing Data. Poster

Erin Doyle, Saint Mary's College, Indiana, REU Summer 2020
- Project: Modeling and Predicting Changes in Sea Ice Thickness from NASA's ICESat-2 Launch. Poster

Acknowledgement

We gratefully acknowledge the support of NVIDIA Corporation with the donation of the two Titan Xp and one Titan V used for the lab's research.
We also acknowledge the support of the Northwestern Mutual Data Science Institute.
We also gratefully acknowledge the NSF Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by ACI-1548562.
We gratefully acknowledge the NSF-supported Raj Compute Cluster with AMD+ NVidia GPUs at Marquette University.

Publications