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Priority-Based in-GPU Scheduling with Slice for Dynamically Loaded DNN Inference Tasks

https://doi.org/10.2139/ssrn.7512643
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Fast Algorithms for Convolutional Neural Networks
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PREMA: A Predictive Multi-Task Scheduling Algorithm For Preemptible Neural Processing Units
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Empirical Analysis and Modeling of Compute Times of CNN Operations on AWS Cloud
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Indirect Deconvolution Algorithm
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Priority-Based PCIe Scheduling for Multi-Tenant Multi-GPU Systems
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HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing
inferredcites →https://doi.org/10.1109/rtas.2018.00028openalex-snapshot
S^3DNN: Supervised Streaming and Scheduling for GPU-Accelerated Real-Time DNN Workloads
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D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs
inferredcites →https://doi.org/10.1109/tvlsi.2023.3286122openalex-snapshot
An Energy-Efficient GeMM-Based Convolution Accelerator With On-the-Fly im2col
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Chimera
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FLEP
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The anatomy of efficient FFT and winograd convolutions on modern CPUs
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Irina: Accelerating DNN Inference with Efficient Online Scheduling
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Joint Optimization of DNN Partition and Scheduling for Mobile Cloud Computing
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Forecasting GPU Performance for Deep Learning Training and Inference
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ReFINE: A Reactive and Fine-Grained Scheduling Framework For Concurrency on General Purpose GPUs
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