Amanda Bienz

38 papers C 4Misc 1Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scaling All-to-all Operations Across Emerging Many-Core Supercomputers.
CoRR
Shannon Gayle Kinkead, Jackson Wesley, Whit Schonbein, David Debonis, Matthew G. F. Dosanjh, Amanda Bienz
2026 J jnl
The Case of the Mysterious Citations.
CoRR
Amanda Bienz, Carl Pearson, Simon Garcia De Gonzalo
2025 J jnl
Optimizing Allreduce Operations for Heterogeneous Architectures with Multiple Processes per GPU.
CoRR
Michael Adams, Amanda Bienz
2025 J jnl
Persistent and Partitioned MPI for Stencil Communication.
CoRR
Gerald Collom, Jason Burmark, Olga Pearce, Amanda Bienz
2025 — conf
Scaling All-to-All Operations Across Emerging Many-Core Supercomputers.
SC Workshops
Shannon Gayle Kinkead, Jackson Wesley, Whit Schonbein, David Debonis, Matthew G. F. Dosanjh, Amanda Bienz
2024 Misc conf
A More Scalable Sparse Dynamic Data Exchange.
HiPC
Andrew Geyko, Gerald Collom, Derek Schafer, Patrick G. Bridges, Amanda Bienz
2024 — conf
Compressed Cannon's Algorithm.
HPEC
Louis Jencka, Amanda Bienz
2024 C conf
Optimizing Neighbor Collectives with Topology Objects.
CLUSTER
Gerald Collom, Derek Schafer, Amanda Bienz, Patrick G. Bridges, Galen M. Shipman
2024 — conf
Persistent and Partitioned MPI for Stencil Communication.
HPEC
Gerald Collom, Jason Burmark, Olga Pearce, Amanda Bienz
2023 J jnl
A Locality-Aware Sparse Dynamic Data Exchange.
CoRR
Andrew Geyko, Amanda Bienz
2023 J jnl
Characterizing the performance of node-aware strategies for irregular point-to-point communication on heterogeneous architectures.
Parallel Comput.
Shelby Lockhart, Amanda Bienz, William D. Gropp, Luke N. Olson
2023 J jnl
Collective-Optimized FFTs.
CoRR
Evelyn Namugwanya, Amanda Bienz, Derek Schafer, Anthony Skjellum
2023 C conf
Evaluating the Viability of LogGP for Modeling MPI Performance with Non-contiguous Datatypes on Modern Architectures.
EuroMPI
Nicholas H. Bacon, Patrick G. Bridges, Scott Levy, Kurt B. Ferreira, Amanda Bienz
2023 — ed.
High Performance Computing - ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers
ISC Workshops
Amanda Bienz, Michèle Weiland, Marc Baboulin, Carola Kruse
2023 — conf
Invited Paper: Benchmarking and Optimizing Data Movement on Emerging Heterogeneous Architectures.
IPDPS Workshops
Amanda Bienz
2023 J jnl
MPI Advance : Open-Source Message Passing Optimizations.
CoRR
Amanda Bienz, Derek Schafer, Anthony Skjellum
2023 — conf
Optimizing Irregular Communication with Neighborhood Collectives and Locality-Aware Parallelism.
SC Workshops
Gerald Collom, Ruipeng Li, Amanda Bienz
2023 J jnl
Optimizing Irregular Communication with Neighborhood Collectives and Locality-Aware Parallelism.
CoRR
Gerald Collom, Ruipeng Li, Amanda Bienz
2023 J jnl
Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods.
ACM Trans. Parallel Comput.
Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson
2022 C conf
A Locality-Aware Bruck Allgather.
EuroMPI
Amanda Bienz, Shreeman Gautam, Amun Kharel
2022 J jnl
A Locality-Aware Bruck Allgather.
CoRR
Amanda Bienz, Shreeman Gautam, Amun Kharel
2022 J jnl
Characterizing the Performance of Node-Aware Strategies for Irregular Point-to-Point Communication on Heterogeneous Architectures.
CoRR
Shelby Lockhart, Amanda Bienz, William D. Gropp, Luke N. Olson
2022 — ed.
High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29 - June 2, 2022, Revised Selected Papers
ISC Workshops
Hartwig Anzt, Amanda Bienz, Piotr Luszczek, Marc Baboulin
2022 J jnl
Performance Analysis and Optimal Node-Aware Communication for Enlarged Conjugate Gradient Methods.
CoRR
Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson
2022 J jnl
Tausch: A halo exchange library for large heterogeneous computing systems using MPI, OpenCL, and CUDA.
Parallel Comput.
Lukas Spies, Amanda Bienz, J. David Moulton, Luke N. Olson, Andrew Reisner
2021 — conf
Modeling Data Movement Performance on Heterogeneous Architectures.
HPEC
Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart
2021 — conf
Partitioned Collective Communication.
ExaMPI@SC
Daniel J. Holmes, Anthony Skjellum, Julien Jaeger, Ryan E. Grant, Purushotham V. Bangalore, Matthew G. F. Dosanjh, Amanda Bienz, Derek Schafer
2020 J jnl
Modeling Data Movement Performance on Heterogeneous Architectures.
CoRR
Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart
2020 J jnl
Reducing communication in algebraic multigrid with multi-step node aware communication.
Int. J. High Perform. Comput. Appl.
Amanda Bienz, William D. Gropp, Luke N. Olson
2019 J jnl
Node aware sparse matrix-vector multiplication.
J. Parallel Distributed Comput.
Amanda Bienz, William D. Gropp, Luke N. Olson
2019 J jnl
Node-Aware Improvements to Allreduce.
CoRR
Amanda Bienz, Luke N. Olson, William D. Gropp
2019 J jnl
Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication.
CoRR
Amanda Bienz, Luke N. Olson, William Gropp
2018 C conf
Improving Performance Models for Irregular Point-to-Point Communication.
EuroMPI
Amanda Bienz, William D. Gropp, Luke N. Olson
2018 J jnl
Improving Performance Models for Irregular Point-to-Point Communication.
CoRR
Amanda Bienz, William D. Gropp, Luke N. Olson
2018 — —
Reducing communication in sparse solvers
Amanda Bienz
2016 J jnl
Reducing Parallel Communication in Algebraic Multigrid through Sparsification.
SIAM J. Sci. Comput.
Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, Jacob B. Schroder
2016 J jnl
TAPSpMV: Topology-Aware Parallel Sparse Matrix Vector Multiplication.
CoRR
Amanda Bienz, William D. Gropp, Luke N. Olson
2015 J jnl
Reducing Parallel Communication in Algebraic Multigrid through Sparsification.
CoRR
Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, Jacob B. Schroder