PI: Professor George M. Slota
Lab: 108 Amos Eaton
Rensselaer Polytechnic Institute
Current Projects:
Random Graph Generation - We have been exploring methods for generating random graphs and null models in a couple different contexts. First, we want to reduce errors produced in probabilistic generators to better serve as null graph models for computational analytics. Second, we are looking to generate benchmark graphs using systematic, scaling, and widely paraemterized ways.
Enabling Efficient Inference and High Accuracy by Exploring Novel Linear-type Attention and KV Cache Optimization - We are exploring caching methods to reduce memory and computations overheads of caching in LLMs and similar models.
Funding: IBM, 1 year, $125,000
CAREER: Scalable Graph Processing to a Quadrillion Edges and Beyond - We consider the general problem of - Given a massive relational dataset, how can we efficiently perform general-purpose analytic computations on this dataset using leadership-class GPU-based supercomputers?
Funding: NSF, 5 years, $488,066
Past Projects:
Low-precision Second-order-type Distributed Methods for Training and Fine-tuning Foundation Models Funding: IBM, 2 years, $400,000
Frameworks, Algorithms and Scalable Technologies for Mathematics (FASTMath5) SciDAC Institute Funding: DOE, 5 years, $250,000 for PI Slota
Spectral Partitioning Schemes for Physics Simulation Data Sets Funding: Sandia National Labs, PIRAMID LDRD, 3 years, $119,703
MRI: Acquisition of a Next Generation, Data-Centric Supercomputer Funding: NSF, 3 years, $990,000 in total
Distributed Graph Algorithmics to Test Algorithms on HPC Systems with Multiple Levels of Main Memory Funding: Sandia National Labs, 3 years, $61,356
Frameworks, Algorithms and Scalable Technologies for Mathematics (FASTMath4) SciDAC Institute Funding: Subcontract from Sandia National Labs, 3 years, $135,000
Current Members:
Anweshit Panda PhD student
Haven Cook PhD student
Anthony Fabius BS student
Ali Brooks BS student
Past Members:
Michael Mandulak, PhD (Thesis), 2025. First position: Post-doc at Texas A&M.
Dong Lin MS, 2025. First Position: M Science.
Yash Kaul MS, 2025. First position: Capital One.
Daniel Savidge, MS, 2024. First position: Travelers.
William Hawkins, MS, 2024. First position: GE.
Aidan Hoover, BS, 2024.
Christopher Brissette, PhD (Thesis), 2023. First position: NVIDIA.
Samyuth Sagi, BS, 2023.
Connor Wooding, MS, 2023. First position: Palantir.
Ujwal PandeyBS, 2022.
Ruochen (Gretchen) Hu, BS, 2022.
William Allen, BS, 2022.
Ian Bogle, PhD (Thesis), 2022. First position: AMD.
David Liu, BS, 2022.
Ian McCaffery, BS, 2021.
Jack Garbus, BS, 2020.
Morgan Lee, MS, 2019. First position: Regeneron Pharmaceuticals, Inc.
Christopher Jones, MS, 2019. First position: Viasat, Inc.
