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CUDA Kernel Based Collective Reduction Operations on Large-scale GPU Clusters
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-03770-2_30openalex-snapshot
Towards Efficient MapReduce Using MPI
inferredcites →https://doi.org/10.1007/978-3-642-33518-1_16openalex-snapshot
OMB-GPU: A Micro-Benchmark Suite for Evaluating MPI Libraries on GPU Clusters
inferredcites →https://doi.org/10.1007/s00450-011-0171-3openalex-snapshot
MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters
inferredcites →https://doi.org/10.1016/j.parco.2011.02.004openalex-snapshot
MapReduce in MPI for Large-scale graph algorithms
inferredcites →https://doi.org/10.1109/ccgrid.2014.21openalex-snapshot
Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs
inferredcites →https://doi.org/10.1109/cluster.2011.42openalex-snapshot
Optimized Non-contiguous MPI Datatype Communication for GPU Clusters: Design, Implementation and Evaluation with MVAPICH2
inferredcites →https://doi.org/10.1109/hipc.2014.7116873openalex-snapshot
Designing efficient small message transfer mechanism for inter-node MPI communication on InfiniBand GPU clusters
inferredcites →https://doi.org/10.1109/icpp.2013.17openalex-snapshot
Efficient Inter-node MPI Communication Using GPUDirect RDMA for InfiniBand Clusters with NVIDIA GPUs
inferredcites →https://doi.org/10.1109/ipdps.2009.5160984openalex-snapshot
Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors
inferredcites →https://doi.org/10.1109/ipdpsw.2012.228openalex-snapshot
Optimizing MPI Communication on Multi-GPU Systems Using CUDA Inter-Process Communication
inferredcites →https://doi.org/10.1145/2642769.2642773openalex-snapshot
GPU-Aware Intranode MPI_Allreduce
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.4667openalex-snapshot
Design considerations for GPU‐aware collective communications in MPI
inferred← citeshttps://doi.org/10.1007/978-3-030-04918-8_10openalex-snapshot
Designing High-Performance In-Memory Key-Value Operations with Persistent GPU Kernels and OpenSHMEM
inferred← citeshttps://doi.org/10.1007/s10766-026-00818-6openalex-snapshot
A High-Level API for End-to-End Data Compression in Multi-GPU Cluster Applications
inferred← citeshttps://doi.org/10.1109/ccgrid.2019.00064openalex-snapshot
Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation
inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.00-71openalex-snapshot
Using Arm Scalable Vector Extension to Optimize OPEN MPI
inferred← citeshttps://doi.org/10.1109/hipc.2019.00041openalex-snapshot
High-Performance Adaptive MPI Derived Datatype Communication for Modern Multi-GPU Systems
inferred← citeshttps://doi.org/10.1109/hoti52880.2021.00018openalex-snapshot
Efficient Multi-Path NVLink/PCIe-Aware UCX based Collective Communication for Deep Learning
inferred← citeshttps://doi.org/10.1109/inapr.2018.8627040openalex-snapshot
High Performance Computing (HPC) Implementation: A Survey
inferred← citeshttps://doi.org/10.1109/ipdps54959.2023.00023openalex-snapshot
Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter Communication
inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00088openalex-snapshot
Unified Designs of Multi-Rail-Aware MPI Allreduce and Alltoall Operations Across Diverse GPU and Interconnect Systems
inferred← citeshttps://doi.org/10.1109/mm.2022.3148670openalex-snapshot
Accelerating Deep Learning Using Interconnect-Aware UCX Communication for MPI Collectives
inferred← citeshttps://doi.org/10.1145/3126908.3126950openalex-snapshot
GPU triggered networking for intra-kernel communications
inferred← citeshttps://doi.org/10.1145/3416315.3416316openalex-snapshot
Using Advanced Vector Extensions AVX-512 for MPI Reductions
inferred← citeshttps://doi.org/10.1177/10943420241311608openalex-snapshot
Preparing MPICH for exascale
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33015676openalex-snapshot
Balanced Sparsity for Efficient DNN Inference on GPU
inferred← citeshttps://doi.org/10.23919/isc.2024.10528931openalex-snapshot
Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters
inferred← citeshttps://doi.org/10.23919/isc.2026.11520482openalex-snapshot
Design and Implementation of Multi-Rail-Aware Hierarchical MPI Reduce-Scatter and Allgather Operations
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