2026

June

Mixed-Precision Communication-Avoiding SGD for Generalized Linear Models on GPUs

May

High-Performance Star-M SVD for Big Data Compression

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

2024

March

Sequential and Shared-Memory Parallel Algorithms for Partitioned Local Depths

2020

December

Avoiding Communication in Logistic Regression

2019

January

Avoiding Communication in Primal and Dual Block Coordinate Descent Methods

2018

August

Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems

May

Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization

2017

December

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

October

Avoiding Communication in Proximal Methods for Convex Optimization Problems

2016

December

Matrix Factorizations at Scale: A Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies

2014

July

Architecting an Autograder for Parallel Code

2013

July

Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering

2012

September

Cloud Federation in a Layered Service Model