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Accelerating communication with multi‐HCA aware collectives in MPI

https://doi.org/10.1002/cpe.7879
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.4851openalex-snapshot
A survey of MPI usage in the US exascale computing project
inferredcites →https://doi.org/10.1007/11846802_17openalex-snapshot
Efficient Shared Memory and RDMA Based Design for MPI_Allgather over InfiniBand
inferredcites →https://doi.org/10.1007/978-3-642-03770-2_9openalex-snapshot
MPI on a Million Processors
inferredcites →https://doi.org/10.1007/s10586-021-03370-9openalex-snapshot
Accelerating distributed deep neural network training with pipelined MPI allreduce
inferredcites →https://doi.org/10.1016/0167-8191(94)90095-7openalex-snapshot
The communication challenge for MPP: Intel Paragon and Meiko CS-2
inferredcites →https://doi.org/10.1016/j.jpdc.2008.09.002openalex-snapshot
Bandwidth optimal all-reduce algorithms for clusters of workstations
inferredcites →https://doi.org/10.1016/j.procs.2017.05.009openalex-snapshot
Distributed Bayesian Probabilistic Matrix Factorization
inferredcites →https://doi.org/10.1109/cluster.2018.00014openalex-snapshot
SALaR: Scalable and Adaptive Designs for Large Message Reduction Collectives
inferredcites →https://doi.org/10.1109/cluster49012.2020.00037openalex-snapshot
Decomposing MPI Collectives for Exploiting Multi-lane Communication
inferredcites →https://doi.org/10.1109/hipc17319.2010openalex-snapshot
2010 International Conference on High Performance Computing
inferredcites →https://doi.org/10.1109/hpcs.2007.19openalex-snapshot
High Performance RDMA-based Multi-port All-gather on Multi-rail QsNet II
inferredcites →https://doi.org/10.1109/ipdps.2009.5160896openalex-snapshot
Designing multi-leader-based Allgather algorithms for multi-core clusters
inferredcites →https://doi.org/10.1109/ipdps.2014.115openalex-snapshot
UPC++: A PGAS Extension for C++
inferredcites →https://doi.org/10.1109/ipdps.2018.00111openalex-snapshot
Designing Efficient Shared Address Space Reduction Collectives for Multi-/Many-cores
inferredcites →https://doi.org/10.1109/mcse.2017.57openalex-snapshot
The Exascale Computing Project
inferredcites →https://doi.org/10.1145/1122971.1122975openalex-snapshot
Collective communication on architectures that support simultaneous communication over multiple links
inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
inferredcites →https://doi.org/10.1145/2020373.2020375openalex-snapshot
Introducing OpenSHMEM
inferredcites →https://doi.org/10.1145/3339186.3339199openalex-snapshot
MPI Collectives for Multi-core Clusters
inferredcites →https://doi.org/10.1145/3547276.3548524openalex-snapshot
Designing Hierarchical Multi-HCA Aware Allgather in MPI
inferredcites →https://doi.org/10.1177/1094342005051521openalex-snapshot
Optimization of Collective Communication Operations in MPICH
inferredcites →https://doi.org/10.1177/1094342006064482openalex-snapshot
The Tau Parallel Performance System
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4591697openalex-extracted
Optimizing Mpi Collectives with Hierarchical Design for Efficient Cpu Oversubscription
inferred← citeshttps://doi.org/10.1109/ccgrid68966.2026.00012openalex-snapshot
Scalable, Topology- and Multi-HCA-Aware Hierarchical GPU Allgather Using Parallel Rings
inferred← citeshttps://doi.org/10.1109/mm.2024.3524891openalex-snapshot
OHIO: Enhancing RDMA Scalability in Alltoall With Optimized Communication Overlap
inferred← citeshttps://doi.org/10.1145/3731599.3767392openalex-snapshot
Accelerating Intra-Node GPU Communication: A Performance Model for Multi-Path Transfers
inferred← citeshttps://doi.org/10.1177/10943420251363423openalex-snapshot
A compilation-based approach to performant reduction and redistribution collective communication algorithms
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