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Enabling Fast, Noncontiguous GPU Data Movement in Hybrid MPI+GPU Environments

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-39924-7_55openalex-snapshot
Implementing Fast and Reusable Datatype Processing
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.procs.2011.04.221openalex-snapshot
High Performance Stencil Code Algorithms for GPGPUs
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/clustr.2009.5289129openalex-snapshot
Message passing for GPGPU clusters: CudaMPI
inferredcites →https://doi.org/10.1109/ipdps.2009.5161065openalex-snapshot
Message passing on data-parallel architectures
inferredcites →https://doi.org/10.1109/sc.2010.2openalex-snapshot
3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs
inferredcites →https://doi.org/10.1111/j.1467-8659.2008.01131.xopenalex-snapshot
Zippy: A Framework for Computation and Visualization on a GPU Cluster
inferredcites →https://doi.org/10.1145/1735970.1736059openalex-snapshot
An asymmetric distributed shared memory model for heterogeneous parallel systems
inferredcites →https://doi.org/10.1145/1736020.1736059openalex-snapshot
An asymmetric distributed shared memory model for heterogeneous parallel systems
inferredcites →https://doi.org/10.1145/2063384.2063398openalex-snapshot
Physis
inferredcites →https://doi.org/10.2514/6.2010-522openalex-snapshot
An MPI-CUDA Implementation for Massively Parallel Incompressible Flow Computations on Multi-GPU Clusters

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/10.1007/978-3-319-09967-5_18openalex-snapshot
Compiler Optimizations for Non-contiguous Remote Data Movement
inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.05.008openalex-snapshot
FALCON-X: Zero-copy MPI derived datatype processing on modern CPU and GPU architectures
inferred← citeshttps://doi.org/10.1109/cbd.2016.034openalex-snapshot
GPU Parallel Optimization of Hyperspectral Image Kernel Sparse Representation Classification Based on Spatial-Spectral Graph Regularization
inferred← citeshttps://doi.org/10.1109/cluster49012.2020.00023openalex-snapshot
Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters
inferred← citeshttps://doi.org/10.1109/compcomm.2016.7925217openalex-snapshot
Acceleration for the real-time radar echoes simulation of space multi-target using GPU
inferred← citeshttps://doi.org/10.1109/exampi.2014.5openalex-snapshot
To INT_MAX... and Beyond! Exploring Large-Count Support in 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/ipdps.2013.104openalex-snapshot
Extending OpenSHMEM for GPU Computing
inferred← citeshttps://doi.org/10.1109/ipdps.2016.99openalex-snapshot
Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems
inferred← citeshttps://doi.org/10.1109/ipdpsw.2013.256openalex-snapshot
Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming
inferred← citeshttps://doi.org/10.1109/ipdpsw50202.2020.00150openalex-snapshot
Performance Characterization of Network Mechanisms for Non-Contiguous Data Transfers in MPI
inferred← citeshttps://doi.org/10.1109/isca.2016.15openalex-snapshot
Morpheus: Creating Application Objects Efficiently for Heterogeneous Computing
inferred← citeshttps://doi.org/10.1109/mm.2023.3241133openalex-snapshot
Network-Assisted Noncontiguous Transfers for GPU-Aware MPI Libraries
inferred← citeshttps://doi.org/10.1109/smartcity.2015.125openalex-snapshot
MPI Derived Datatypes and Data Communication Analysis in Meteorological Applications
inferred← citeshttps://doi.org/10.1109/tpds.2013.222openalex-snapshot
GPU-Aware MPI on RDMA-Enabled Clusters: Design, Implementation and Evaluation
inferred← citeshttps://doi.org/10.1109/tpds.2013.234openalex-snapshot
Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data
inferred← citeshttps://doi.org/10.1117/12.2052076openalex-snapshot
Parallelized physical optics computations for the RCS prediction of rough surface by CUDA
inferred← citeshttps://doi.org/10.1145/2462902.2462915openalex-snapshot
On the efficacy of GPU-integrated MPI for scientific applications
inferred← citeshttps://doi.org/10.1145/2488551.2488552openalex-snapshot
MPI datatype processing using runtime compilation
inferred← citeshttps://doi.org/10.1145/3007787.3001143openalex-snapshot
Morpheus
inferred← citeshttps://doi.org/10.1145/3236367.3236378openalex-snapshot
MPI Derived Datatypes
inferred← citeshttps://doi.org/10.1145/3273982.3273989openalex-snapshot
Morpheus
inferred← citeshttps://doi.org/10.1145/3506705openalex-snapshot
MemHC: An Optimized GPU Memory Management Framework for Accelerating Many-body Correlation
inferred← citeshttps://doi.org/10.14529/jsfi150201openalex-snapshot
Exascale Machines Require New Programming Paradigms and Runtimes
inferred← citeshttps://doi.org/10.2172/1086457openalex-snapshot
Argonne National Laboratory Annual Report of Laboratory Directed Research and Development Program Activities FY 2012
inferred← citeshttps://doi.org/10.2514/6.2014-1130openalex-snapshot
Performance Assessment of Multi-block LES Simulations using Directive-based GPU Computation in a Cluster Environment
inferred← citeshttps://doi.org/10.2514/6.2014-3083openalex-snapshot
GPU Port of A Parallel Incompressible Navier-Stokes Solver based on OpenACC and MVAPICH2
inferred← citeshttps://doi.org/10.2514/6.2015-0052openalex-snapshot
Advanced Optimizations of An Implicit Navier-Stokes Solver on GPGPU
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