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Extending OpenSHMEM for GPU Computing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-19595-2_11openalex-snapshot
Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation
inferredcites →https://doi.org/10.1007/978-3-642-29737-3_48openalex-snapshot
An Extension of XcalableMP PGAS Lanaguage for Multi-node 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/10.1109/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.2012.72openalex-snapshot
Enabling Fast, Noncontiguous GPU Data Movement in Hybrid MPI+GPU Environments
inferredcites →https://doi.org/10.1109/hpcc.2012.69openalex-snapshot
DMA-Assisted, Intranode Communication in GPU Accelerated Systems
inferredcites →https://doi.org/10.1109/icpp.2008.19openalex-snapshot
Scalable Dynamic Load Balancing Using UPC
inferredcites →https://doi.org/10.1109/ipdps.2006.1639320openalex-snapshot
Optimizing bandwidth limited problems using one-sided communication and overlap
inferredcites →https://doi.org/10.1109/ipdpsw.2012.227openalex-snapshot
Efficient Intranode Communication in GPU-Accelerated Systems
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/10.1109/sc.2010.26openalex-snapshot
Fast PGAS Implementation of Distributed Graph Algorithms
inferredcites →https://doi.org/10.1109/tpds.2010.62openalex-snapshot
hiCUDA: High-Level GPGPU Programming
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/10.1145/2063384.2063388openalex-snapshot
Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer
inferredcites →https://doi.org/10.1145/2063384.2063485openalex-snapshot
Optimizing the Barnes-Hut algorithm in UPC
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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/10.1007/978-3-030-34627-0_13openalex-snapshot
HDArray: Parallel Array Interface for Distributed Heterogeneous Devices
inferred← citeshttps://doi.org/10.1007/978-3-319-26428-8_2openalex-snapshot
Exploring OpenSHMEM Model to Program GPU-based Extreme-Scale Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-29778-1_9openalex-snapshot
HYDRA : Extending Shared Address Programming for Accelerator Clusters
inferred← citeshttps://doi.org/10.1007/978-3-319-73814-7_6openalex-snapshot
Efficient Breadth First Search on Multi-GPU Systems Using GPU-Centric OpenSHMEM
inferred← citeshttps://doi.org/10.1016/j.parco.2016.05.003openalex-snapshot
CUDA-Aware OpenSHMEM: Extensions and Designs for High Performance OpenSHMEM on GPU Clusters
inferred← citeshttps://doi.org/10.1109/ccgrid.2014.21openalex-snapshot
Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.49openalex-snapshot
High-Performance Key-Value Store on OpenSHMEM
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.81openalex-snapshot
Implementation and Evaluation of One-Sided PGAS Communication in XcalableACC for Accelerated Clusters
inferred← citeshttps://doi.org/10.1109/cluster.2015.21openalex-snapshot
Exploiting GPUDirect RDMA in Designing High Performance OpenSHMEM for NVIDIA GPU Clusters
inferred← citeshttps://doi.org/10.1109/cluster.2017.58openalex-snapshot
Implementing Lattice QCD Application with XcalableACC Language on Accelerated Cluster
inferred← citeshttps://doi.org/10.1109/e2sc.2014.14openalex-snapshot
Energy-Efficient Stencil Computations on Distributed GPUs Using Dynamic Parallelism and GPU-Controlled Communication
inferred← citeshttps://doi.org/10.1109/hipc.2017.00037openalex-snapshot
GPU-Centric Communication on NVIDIA GPU Clusters with InfiniBand: A Case Study with OpenSHMEM
inferred← citeshttps://doi.org/10.1109/icppw.2014.61openalex-snapshot
Analyzing Put/Get APIs for Thread-Collaborative Processors
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.111openalex-snapshot
Infiniband-Verbs on GPU: A Case Study of Controlling an Infiniband Network Device from the GPU
inferred← citeshttps://doi.org/10.1109/ispass.2015.7095817openalex-snapshot
Analyzing communication models for distributed thread-collaborative processors in terms of energy and time
inferred← citeshttps://doi.org/10.1109/paw-atm56565.2022.00006openalex-snapshot
Extending OpenMP and OpenSHMEM for Efficient Heterogeneous Computing
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.2015.2446479openalex-snapshot
MPI-ACC: Accelerator-Aware MPI for Scientific Applications
inferred← citeshttps://doi.org/10.1109/waccpd.2014.6openalex-snapshot
XcalableACC: Extension of XcalableMP PGAS Language Using OpenACC for Accelerator Clusters
inferred← citeshttps://doi.org/10.1145/2907294.2907317openalex-snapshot
GPU-Aware Non-contiguous Data Movement In Open MPI
inferred← citeshttps://doi.org/10.1145/3577193.3593713openalex-snapshot
Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge
inferred← citeshttps://doi.org/10.1145/3731599.3767436openalex-snapshot
Generating Permutations at Scale
inferred← citeshttps://doi.org/10.1177/1094342015588142openalex-snapshot
InfiniBand Verbs on GPU: a case study of controlling an InfiniBand network device from the GPU
inferred← citeshttps://doi.org/10.1186/s40537-019-0275-3openalex-snapshot
A novel approach for big data processing using message passing interface based on memory mapping
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