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Efficient Intranode Communication in GPU-Accelerated Systems

https://doi.org/10.1109/ipdpsw.2012.227
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

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

inferredcites →https://doi.org/10.1007/11846802_19openalex-snapshot
Implementation and Shared-Memory Evaluation of MPICH2 over the Nemesis Communication Subsystem
inferredcites →https://doi.org/10.1007/978-3-540-30218-6_19openalex-snapshot
Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation
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/10.1109/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/cluster.2011.67openalex-snapshot
MPI Alltoall Personalized Exchange on GPGPU Clusters: Design Alternatives and Benefit
inferredcites →https://doi.org/10.1109/icpp.2006.31openalex-snapshot
Data Transfers between Processes in an SMP System: Performance Study and Application to MPI
inferredcites →https://doi.org/10.1109/mcse.2011.83openalex-snapshot
Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community
inferredcites →https://doi.org/10.1145/1735688.1735702openalex-snapshot
The Scalable Heterogeneous Computing (SHOC) benchmark suite
inferredcites →https://doi.org/10.1145/2377978.2377981openalex-snapshot
Extending MPI to accelerators

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/10.1007/978-1-4614-3296-8_11openalex-snapshot
CPU-GPU System Designs for High Performance Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-3-642-33518-1_16openalex-snapshot
OMB-GPU: A Micro-Benchmark Suite for Evaluating MPI Libraries on GPU Clusters
inferred← citeshttps://doi.org/10.1109/hipc.2016.016openalex-snapshot
CUDA M3: Designing Efficient CUDA Managed Memory-Aware MPI by Exploiting GDR and IPC
inferred← citeshttps://doi.org/10.1109/hpcc.2012.69openalex-snapshot
DMA-Assisted, Intranode Communication in GPU Accelerated Systems
inferred← citeshttps://doi.org/10.1109/hpcc.2012.92openalex-snapshot
MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-based Systems
inferred← citeshttps://doi.org/10.1109/ipdps.2013.104openalex-snapshot
Extending OpenSHMEM for GPU Computing
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/tpds.2013.222openalex-snapshot
GPU-Aware MPI on RDMA-Enabled Clusters: Design, Implementation and Evaluation
inferred← citeshttps://doi.org/10.1145/2462902.2462915openalex-snapshot
On the efficacy of GPU-integrated MPI for scientific applications
inferred← citeshttps://doi.org/10.1145/3635035.3635036openalex-snapshot
Non-Blocking GPU-CPU Notifications to Enable More GPU-CPU Parallelism
inferred← citeshttps://doi.org/10.2172/1086457openalex-snapshot
Argonne National Laboratory Annual Report of Laboratory Directed Research and Development Program Activities FY 2012
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