On the public citation graph
Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance 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/10.1002/cpe.1860openalex-snapshot
Productivity of GPUs under different programming paradigms
inferredcites →https://doi.org/10.1007/3-540-45417-9openalex-snapshot
Recent Advances in Parallel Virtual Machine and Message Passing Interface
inferredcites →https://doi.org/10.1007/3-540-45417-9_1openalex-snapshot
The SPMD Model: Past, Present and Future
inferredcites →https://doi.org/10.1007/978-3-642-15277-1_37openalex-snapshot
A GPGPU Transparent Virtualization Component for High Performance Computing Clouds
inferredcites →https://doi.org/10.1016/0898-1221(95)90199-xopenalex-snapshot
Using MPI: Portable parallel programming with the message-passing interface
inferredcites →https://doi.org/10.1086/260062openalex-snapshot
The Pricing of Options and Corporate Liabilities
inferredcites →https://doi.org/10.1109/99.660313openalex-snapshot
OpenMP: an industry standard API for shared-memory programming
inferredcites →https://doi.org/10.1109/cit.2010.204openalex-snapshot
Efficiently Using a CUDA-enabled GPU as Shared Resource
inferredcites →https://doi.org/10.1109/clustr.2009.5289128openalex-snapshot
GPU clusters for high-performance computing
inferredcites →https://doi.org/10.1109/hotchips.2009.7478342openalex-snapshot
The OpenCL specification
inferredcites →https://doi.org/10.1109/icpp.2011.88openalex-snapshot
GPU Resource Sharing and Virtualization on High Performance Computing Systems
inferredcites →https://doi.org/10.1109/ipdps.2009.5161020openalex-snapshot
vCUDA: GPU accelerated high performance computing in virtual machines
inferredcites →https://doi.org/10.1109/rtss.2011.41openalex-snapshot
Anytime Algorithms for GPU Architectures
inferredcites →https://doi.org/10.1109/sc.2004.26openalex-snapshot
GPU Cluster for High Performance Computing
inferredcites →https://doi.org/10.1145/1519138openalex-snapshot
Proceedings of the 3rd ACM Workshop on System-level Virtualization for High Performance Computing
inferredcites →https://doi.org/10.1145/1996130.1996160openalex-snapshot
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework
inferredcites →https://doi.org/10.1145/2212908.2212950openalex-snapshot
Accelerated high-performance computing through efficient multi-process GPU resource sharing
inferredcites →https://doi.org/10.1145/3225058openalex-snapshot
Proceedings of the 47th International Conference on Parallel Processing
inferredcites →https://doi.org/10.1145/3369583openalex-snapshot
Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing
inferredcites →https://doi.org/10.1145/605397openalex-snapshot
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
inferredcites →https://doi.org/10.1177/109434209100500306openalex-snapshot
The NAS Parallel Benchmarks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.parco.2014.09.011openalex-snapshot
A complete and efficient CUDA-sharing solution for HPC clusters
inferred← citeshttps://doi.org/10.1109/access.2020.3046687openalex-snapshot
An Efficient Scheme for Determining the Power Loss in Wind-PV Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/hpec43674.2020.9286238openalex-snapshot
A Deep Q-Learning Approach for GPU Task Scheduling
inferred← citeshttps://doi.org/10.1109/icca49400.2020.9022849openalex-snapshot
Scheduling Methods in HPC System: Review
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.154openalex-snapshot
Effective Utilization of CUDA Hyper-Q for Improved Power and Performance Efficiency
inferred← citeshttps://doi.org/10.1109/isads.2017.45openalex-snapshot
Dynamic Video Wall Tile Creation Using Raspberry Pi3
inferred← citeshttps://doi.org/10.11648/j.iotcc.20180602.11openalex-snapshot
Multilevel Performance Evaluation of Nvidia Grid VCA Using Iray and V-Ray Rendering Engines in 3DS Max Design
inferred← citeshttps://doi.org/10.3390/computers11070114openalex-snapshot
High-Performance Computing in Meteorology under a Context of an Era of Graphical Processing Units
inferred← citeshttps://doi.org/10.3390/electronics9061035openalex-snapshot
Comparative Performance Evaluation of Modern Heterogeneous High-Performance Computing Systems CPUs
inferred← citeshttps://doi.org/10.48550/arxiv.1511.07658openalex-snapshot
Efficient Resource Sharing Through GPU Virtualization on Accelerated High Performance Computing Systems
inferred← citeshttps://doi.org/10.48550/arxiv.1511.07983openalex-snapshot
Reordering GPU Kernel Launches to Enable Efficient Concurrent Execution
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