8 citations · 8 across the 4 of their papers we have counts for
4 papers
When Structure is Silent: Opportunities for Algorithmic Dispatch in Linear Algebra
Emmanuel Lujan, Alan Edelman
Algorithmic dispatch is essential for performance in linear-algebra-intensive systems. A persistent challenge lies in the treatment of structured matrices. Although such matrices a…
Decision-Support and Modeling with Large Language Models for Geothermal Well Arrays
Edwin Ouko, Emmanuel Lujan, Alan Edelman +1
Geothermal well arrays, which organize multiple geothermal wells into carefully planned geometric configurations, provide opportunities to enhance energy production capacity and in…
Data-Driven Dynamic Algorithm Dispatch with Large Language Models
Rushil Shah, Emmanuel Lujan, Rabab Alomairy +1
We introduce a large language model (LLM)-driven approach for generating dynamic algorithmic dispatch heuristics in high-performance linear algebra. By combining prompt engineering…
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations
Kirill Zubov, Zoe McCarthy, Yingbo Ma +11
Physics-informed neural networks (PINNs) are an increasingly powerful way to solve partial differential equations, generate digital twins, and create neural surrogates of physical…