A large-scale study of MPI usage in open-source HPC applications

Author:

Laguna Ignacio1,Marshall Ryan2,Mohror Kathryn1,Ruefenacht Martin2,Skjellum Anthony2,Sultana Nawrin3

Affiliation:

1. Lawrence Livermore National Laboratory

2. University of Tennessee

3. Auburn University

Funder

National Science Foundation

Publisher

ACM

Cited by 55 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. OHIO: Improving RDMA Network Scalability in MPI_Alltoall Through Optimized Hierarchical and Intra/Inter-Node Communication Overlap Design;2024 IEEE Symposium on High-Performance Interconnects (HOTI);2024-08-21

2. OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Access and SmartNICs;Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing;2024-08-04

3. PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

4. Brief Announcement: (Near) Zero-Overhead C++ Bindings for MPI;Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures;2024-06-17

5. Near-Optimal Wafer-Scale Reduce;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03

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