3 papers
physics.ins-det2026
Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning
Carlos Cardona-Giraldo, Cristiano Fanelli, James Giroux +3
Modern particle physics experiments face an increasing demand for high-fidelity detector simulation as luminosities rise and computational requirements approach the limits of avail…
cs.PF2025
cuTeSpMM: Accelerating Sparse-Dense Matrix Multiplication using GPU Tensor Cores
Lizhi Xiang, Omid Asudeh, Gerald Sabin +2
Many recent GPUs feature matrix multiplication engines (aka Tensor Core Units or TCUs) that perform small fixed-size matrix-matrix products at very high throughput. They have been…
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…