Sharma, R. (CSE) – Automatically Evolving GPU Libraries for Performance Portable AI Kernels

Engineering 2 Engineering 2 1156 High Street, Santa Cruz
Hybrid Event

GPUs are the workhorses of modern AI, widely deployed and developed by many vendors including Apple, Qualcomm, Intel, AMD, and NVIDIA. While these GPUs all offer high compute potential, programming them effectively is difficult because they differ in performance-critical features like SIMT width, cache capacity, and memory bandwidth, demanding different optimization strategies. Tunable kernels address […]

Statistics Seminar: Heterogeneous Statistical Transfer Learning

Hybrid Event

Presenter: Subhadeep Paul, Associate Professor, Ohio State University Description: In the first part of the talk, we consider the problem of Transfer Learning (TL) under heterogeneity from a source to a new target domain for high-dimensional regression with differing feature sets. Most homogeneous TL methods assume that target and source domains share the same feature […]