TAPSpMV: Topology-Aware Parallel Sparse Matrix Vector Multiplication. - Amanda Bienz; William D. Gropp; Luke N. Olson (CoRR, 2016)

Reducing Parallel Communication in Algebraic Multigrid through Sparsification. - Amanda Bienz; Robert D. Falgout; William Gropp; Luke N. Olson; Jacob B. Schroder (SIAM J. Sci. Comput., 2016)

Improving Performance Models for Irregular Point-to-Point Communication. - Amanda Bienz; William D. Gropp; Luke N. Olson (EuroMPI, 2018)

Reducing communication in sparse solvers - Amanda Bienz (2018)

Node-Aware Improvements to Allreduce. - Amanda Bienz; Luke N. Olson; William D. Gropp (CoRR, 2019)

Node aware sparse matrix-vector multiplication. - Amanda Bienz; William D. Gropp; Luke N. Olson (J. Parallel Distributed Comput., 2019)

Reducing communication in algebraic multigrid with multi-step node aware communication. - Amanda Bienz; William D. Gropp; Luke N. Olson (Int. J. High Perform. Comput. Appl., 2020)

Partitioned Collective Communication. - Daniel J. Holmes; Anthony Skjellum; Julien Jaeger; Ryan E. Grant; Purushotham V. Bangalore; Matthew G. F. Dosanjh; Amanda Bienz; Derek Schafer (ExaMPI@SC, 2021)

Modeling Data Movement Performance on Heterogeneous Architectures. - Amanda Bienz; Luke N. Olson; William D. Gropp; Shelby Lockhart (HPEC, 2021)

A Locality-Aware Bruck Allgather. - Amanda Bienz; Shreeman Gautam; Amun Kharel (EuroMPI, 2022)

Tausch: A halo exchange library for large heterogeneous computing systems using MPI, OpenCL, and CUDA. - Lukas Spies; Amanda Bienz; J. David Moulton; Luke N. Olson; Andrew Reisner (Parallel Comput., 2022)

Invited Paper: Benchmarking and Optimizing Data Movement on Emerging Heterogeneous Architectures. - Amanda Bienz (IPDPS Workshops, 2023)

Evaluating the Viability of LogGP for Modeling MPI Performance with Non-contiguous Datatypes on Modern Architectures. - Nicholas H. Bacon; Patrick G. Bridges; Scott Levy; Kurt B. Ferreira; Amanda Bienz (EuroMPI, 2023)

Optimizing Irregular Communication with Neighborhood Collectives and Locality-Aware Parallelism. - Gerald Collom; Ruipeng Li; Amanda Bienz (SC Workshops, 2023)

Collective-Optimized FFTs. - Evelyn Namugwanya; Amanda Bienz; Derek Schafer; Anthony Skjellum (CoRR, 2023)

A Locality-Aware Sparse Dynamic Data Exchange. - Andrew Geyko; Amanda Bienz (CoRR, 2023)

MPI Advance : Open-Source Message Passing Optimizations. - Amanda Bienz; Derek Schafer; Anthony Skjellum (CoRR, 2023)

Characterizing the performance of node-aware strategies for irregular point-to-point communication on heterogeneous architectures. - Shelby Lockhart; Amanda Bienz; William D. Gropp; Luke N. Olson (Parallel Comput., 2023)

Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods. - Shelby Lockhart; Amanda Bienz; William Gropp; Luke N. Olson (ACM Trans. Parallel Comput., 2023)

Optimizing Neighbor Collectives with Topology Objects. - Gerald Collom; Derek Schafer; Amanda Bienz; Patrick G. Bridges; Galen M. Shipman (CLUSTER, 2024)

A More Scalable Sparse Dynamic Data Exchange. - Andrew Geyko; Gerald Collom; Derek Schafer; Patrick G. Bridges; Amanda Bienz (HiPC, 2024)

Persistent and Partitioned MPI for Stencil Communication. - Gerald Collom; Jason Burmark; Olga Pearce; Amanda Bienz (HPEC, 2024)

Compressed Cannon's Algorithm. - Louis Jencka; Amanda Bienz (HPEC, 2024)

Optimizing Allreduce Operations for Heterogeneous Architectures with Multiple Processes per GPU. - Michael Adams; Amanda Bienz (CoRR, 2025)