1 citations · 1 across the 3 of their papers we have counts for
4 papers
FLASHSWIN: Unlocking Large Windows and Dense Tokens in Swin Vision Transformers with Memory Efficient Attention
Tushar Kataria, Gerald Sabin, Ponnuswamy Sadayappan +1
High-resolution vision backbones have long been forced to trade away local token density to afford larger receptive fields. Hierarchical Swin transformers impose this compromise be…
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…
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…
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…