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RGEM: A Responsive GPGPU Execution Model for Runtime Engines
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Resource Sharing in GPU-Accelerated Windowing Systems
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Anytime Algorithms for GPU Architectures
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GPU virtualization on VMware's hosted I/O architecture
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A GPU accelerated storage system
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-30695-7_17openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-45249-9_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-15-6401-7_5-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-97-9314-3_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11227-012-0789-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11227-024-06394-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11241-018-9316-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2016.03.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jss.2016.02.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2017.04.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2018.05.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2018.10.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.06.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/aiot66900.2025.00065openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/bmei.2014.7002913openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ccgrid.2016.58openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cse.2014.172openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ecrts.2016.31openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/eiconrusnw.2016.7448189openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/etfa.2012.6489715openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/etfa45728.2021.9613666openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icspcc.2014.6986217openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iecon.2019.8926767openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdps49936.2021.00021openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isca.2014.6853208openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isorc.2015.12openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isorc.2016.26openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isorc52013.2021.00022openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/lca.2019.2933842openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mcse.2018.110145709openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtas.2018.00030openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtas.2019.00029openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtas48715.2020.00-17openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtas58335.2023.00020openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtcsa.2012.59openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtcsa.2017.8046309openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtcsa.2018.00027openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtcsa.2019.8864564openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss.2013.12openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss.2014.10openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss.2014.31openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss.2014.39openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss.2017.00017openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss.2018.00018openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss52674.2021.00019openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss52674.2021.00021openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/rtss52674.2021.00048openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sc.2016.76openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcad.2016.2547916openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcc.2021.3119205openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcc.2024.3511548openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tmc.2017.2651823openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2013.257openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2016.2630697openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2018.2848621openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2021.3115630openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2021.3134269openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2025.3553922openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpds.2026.3704709openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/cgf.13075openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2492385.2492387openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2502524.2502548openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2656075.2656097openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2659787.2659798openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2659787.2659827openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2678373.2665702openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2925426.2926265openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3068281openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3358528.3358551openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3394810.3394826openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3543712.3543756openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/1094342015585845openalex-snapshot
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inferred← citeshttps://doi.org/10.1587/transinf.2018edp7027openalex-snapshot
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inferred← citeshttps://doi.org/10.17615/2dbx-yj16openalex-snapshot
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inferred← citeshttps://doi.org/10.17615/d7vb-fg81openalex-snapshot
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inferred← citeshttps://doi.org/10.17760/d20204341openalex-snapshot
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inferred← citeshttps://doi.org/10.17760/d20317872openalex-snapshot
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inferred← citeshttps://doi.org/10.17863/cam.25225openalex-snapshot
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inferred← citeshttps://doi.org/10.18178/wcse.2015.04.103openalex-snapshot
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inferred← citeshttps://doi.org/10.2322/tastj.19.700openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/date51398.2021.9474130openalex-snapshot
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inferred← citeshttps://doi.org/10.32657/10356/59975openalex-snapshot
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inferred← citeshttps://doi.org/10.3384/9789179294885openalex-snapshot
Performance and Security Analysis for GPU-Based Applications
inferred← citeshttps://doi.org/10.3384/diss.diva-152469openalex-snapshot
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inferred← citeshttps://doi.org/10.34626/xjb6-w471openalex-snapshot
Timing Analysis of General Purpose Graphics Processing Units for Real-Time Systems: Models and Analyses
inferred← citeshttps://doi.org/10.5555/3014904.3015007openalex-snapshot
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inferred← citeshttps://doi.org/10.5762/kais.2014.15.7.4545openalex-snapshot
Analysis of Job Scheduling and the Efficiency for Multi-core Mobile GPU
inferred← citeshttps://doi.org/10.5821/dissertation-2117-107939openalex-snapshot
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