2 papers
cs.LG2025
Guiding Application Users via Estimation of Computational Resources for Massively Parallel Chemistry Computations
Tanzila Tabassum, Omer Subasi, Ajay Panyala +6
In this work, we develop machine learning (ML) based strategies to predict resources (costs) required for massively parallel chemistry computations, such as coupled-cluster methods…
cs.DC2025
Is Sparse Matrix Reordering Effective for Sparse Matrix-Vector Multiplication?
Omid Asudeh, Sina Mahdipour Saravani, Gerald Sabin +2
This work evaluates the impact of sparse matrix reordering on the performance of sparse matrix-vector multiplication across different multicore CPU platforms. Reordering can signif…