Improving Performance Models for Irregular Point-to-Point Communication

Author:

Bienz Amanda1,Gropp William D.1,Olson Luke N.1

Affiliation:

1. University of Illinois at Urbana-Champaign

Funder

National Science Foundation

National Nuclear Security Administration

Publisher

ACM

Reference21 articles.

1. LogGP

2. Amanda Bienz and Luke N. Olson. 2017. RAPtor: parallel algebraic multigrid v0.1. https://github.com/lukeolson/raptor Release 0.1. Amanda Bienz and Luke N. Olson. 2017. RAPtor: parallel algebraic multigrid v0.1. https://github.com/lukeolson/raptor Release 0.1.

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1. Optimizing Irregular Communication with Neighborhood Collectives and Locality-Aware Parallelism;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

2. Characterizing the performance of node-aware strategies for irregular point-to-point communication on heterogeneous architectures;Parallel Computing;2023-07

3. Invited Paper: Benchmarking and Optimizing Data Movement on Emerging Heterogeneous Architectures;2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2023-05

4. Detailed Modeling of Heterogeneous and Contention-Constrained Point-to-Point MPI Communication;IEEE Transactions on Parallel and Distributed Systems;2023-05

5. Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods;ACM Transactions on Parallel Computing;2023-03-29

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