activity
20162022
most citedPerformance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2022

Characterizing the Performance of Node-Aware Strategies for Irregular Point-to-Point Communication on Heterogeneous Architectures

Shelby Lockhart, Amanda Bienz, William D. Gropp +1

Supercomputer architectures are trending toward higher computational throughput due to the inclusion of heterogeneous compute nodes. These multi-GPU nodes increase on-node computat…

cs.DC2022

Performance Analysis and Optimal Node-Aware Communication for Enlarged Conjugate Gradient Methods

Shelby Lockhart, Amanda Bienz, William Gropp +1

Krylov methods are a key way of solving large sparse linear systems of equations, but suffer from poor strong scalabilty on distributed memory machines. This is due to high synchro…

math.NA2021★ 3 cited

Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers

Shelby Lockhart, David J. Gardner, Carol S. Woodward +2

Anderson Acceleration (AA) is a method to accelerate the convergence of fixed point iterations for nonlinear, algebraic systems of equations. Due to the requirement of solving a le…

cs.DC2020

Modeling Data Movement Performance on Heterogeneous Architectures

Amanda Bienz, Luke N. Olson, William D. Gropp +1

The cost of data movement on parallel systems varies greatly with machine architecture, job partition, and nearby jobs. Performance models that accurately capture the cost of data…

math.NA2016

Trust-Region Methods for Sparse Relaxation

Lasith Adhikari, Jennifer B. Erway, Shelby Lockhart +1

In this paper, we solve the l2-l1 sparse recovery problem by transforming the objective function of this problem into an unconstrained differentiable function and apply a limited-m…