2026

January

Communication-Avoiding Linear Algebraic Kernel K-Means on GPUs

2025

November

Parallel Rank-Adaptive Higher Order Orthogonal Iteration

October

Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models

June

DistShap: Scalable GNN Explanations with Distributed Shapley Values

January

Scalable Dual Coordinate Descent for Kernel Methods

Communication-Efficient, 2D Parallel Stochastic Gradient Descent for Distributed-Memory Optimization