3 papers
cs.AI2024
Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework
Geigh Zollicoffer, Kshitij Bhatta, Manish Bhattarai +4
In this paper, we introduce innovative approaches for accelerating the Jacobi method for matrix diagonalization, specifically through the formulation of large matrix diagonalizatio…
cs.LG2024
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization
Kshitij Bhatta, Geigh Zollicoffer, Manish Bhattarai +4
This paper introduces a novel framework for matrix diagonalization, recasting it as a sequential decision-making problem and applying the power of Decision Transformers (DTs). Our…
cs.DC2024
Optimizing Performance on Trinity Utilizing Machine Learning, Proxy Applications and Scheduling Priorities
Phil Romero
The sheer number of nodes continues to increase in todays supercomputers, the first half of Trinity alone contains more than 9400 compute nodes. Since the speed of todays clusters…