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Exploring the Multitude of Real-Time Multi-GPU Configurations
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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/s10617-012-9090-1openalex-snapshot
The OMLP family of optimal multiprocessor real-time locking protocols
inferredcites →https://doi.org/10.1007/s11241-012-9170-0openalex-snapshot
An optimal k-exclusion real-time locking protocol motivated by multi-GPU systems
inferredcites →https://doi.org/10.1007/s11241-013-9190-4openalex-snapshot
Fair lateness scheduling: reducing maximum lateness in G-EDF-like scheduling
inferredcites →https://doi.org/10.1016/j.fusengdes.2012.04.003openalex-snapshot
High-speed, multi-input, multi-output control using GPU processing in the HBT-EP tokamak
inferredcites →https://doi.org/10.1016/s0020-0190(01)00148-xopenalex-snapshot
Scheduling periodic tasks on uniform multiprocessors
inferredcites →https://doi.org/10.1109/ecrts.2012.15openalex-snapshot
Supporting Preemptive Task Executions and Memory Copies in GPGPUs
inferredcites →https://doi.org/10.1109/ecrts.2012.16openalex-snapshot
Makespan Computation for GPU Threads Running on a Single Streaming Multiprocessor
inferredcites →https://doi.org/10.1109/ecrts.2013.29openalex-snapshot
Estimating the WCET of GPU-Accelerated Applications Using Hybrid Analysis
inferredcites →https://doi.org/10.1109/emrts.2002.1019203openalex-snapshot
Multiprocessor DSP scheduling in system-on-a-chip architectures
inferredcites →https://doi.org/10.1109/icpads.2013.47openalex-snapshot
Data Transfer Matters for GPU Computing
inferredcites →https://doi.org/10.1109/real.2001.990609openalex-snapshot
On-line scheduling on uniform multiprocessors
inferredcites →https://doi.org/10.1109/real.2004.20openalex-snapshot
Feasibility Analysis of Preemptive Real-Time Systems upon Heterogeneous Multiprocessor Platforms
inferredcites →https://doi.org/10.1109/rtcsa.2012.26openalex-snapshot
Replica-Request Priority Donation: A Real-Time Progress Mechanism for Global Locking Protocols
inferredcites →https://doi.org/10.1109/rtcsa.2012.59openalex-snapshot
Supporting Low-Latency CPS Using GPUs and Direct I/O Schemes
inferredcites →https://doi.org/10.1109/rtss.2011.13openalex-snapshot
RGEM: A Responsive GPGPU Execution Model for Runtime Engines
inferredcites →https://doi.org/10.1109/rtss.2013.12openalex-snapshot
GPUSync: A Framework for Real-Time GPU Management
inferredcites →https://doi.org/10.1109/rtss.2013.32openalex-snapshot
Segment-Fixed Priority Scheduling for Self-Suspending Real-Time Tasks
inferredcites →https://doi.org/10.1109/tc.2009.156openalex-snapshot
Impact of Peripheral-Processor Interference on WCET Analysis of Real-Time Embedded Systems
inferredcites →https://doi.org/10.1145/2516821.2516843openalex-snapshot
Fine-grained multiprocessor real-time locking with improved blocking
inferredcites →https://doi.org/10.17615/x1zq-v169openalex-snapshot
Scheduling and locking in multiprocessor real-time operating systems
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.jss.2016.02.009openalex-snapshot
GPU-SAM: Leveraging multi-GPU split-and-merge execution for system-wide real-time support
inferred← citeshttps://doi.org/10.1016/j.sysarc.2020.101936openalex-snapshot
Efficient algorithms for task mapping on heterogeneous CPU/GPU platforms for fast completion time
inferred← citeshttps://doi.org/10.1109/ecrts.2016.29openalex-snapshot
Multiprocessor Real-Time Locking Protocols for Replicated Resources
inferred← citeshttps://doi.org/10.1109/metrocad48866.2020.00010openalex-snapshot
Collaborative Autonomous Driving: Vision and Challenges
inferred← citeshttps://doi.org/10.1109/rtas.2018.00028openalex-snapshot
S^3DNN: Supervised Streaming and Scheduling for GPU-Accelerated Real-Time DNN Workloads
inferred← citeshttps://doi.org/10.1109/rtas48715.2020.00-20openalex-snapshot
SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training
inferred← citeshttps://doi.org/10.1109/rtss.2015.33openalex-snapshot
Supporting Real-Time Computer Vision Workloads Using OpenVX on Multicore+GPU Platforms
inferred← citeshttps://doi.org/10.1109/tpds.2016.2630697openalex-snapshot
Real-Time GPU Resource Management with Loadable Kernel Modules
inferred← citeshttps://doi.org/10.1145/2834848.2834863openalex-snapshot
Analysis for supporting real-time computer vision workloads using OpenVX on multicore+GPU platforms
inferred← citeshttps://doi.org/10.1145/2925426.2926265openalex-snapshot
Scheduling Tasks with Mixed Timing Constraints in GPU-Powered Real-Time Systems
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