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Titlebook: Euro-Par 2023: Parallel Processing; 29th International C José Cano,Marios D. Dikaiakos,Rizos Sakellariou Conference proceedings 2023 The Ed

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Verschiedene andere Industriezweige,encies among the SCTs of a block are represented as a DAG data structure which enables parallel execution of the SCTs. Furthermore, the DAG data structure is shared with block validators, allowing resource conservation for DAG creation across the network. To ensure secure parallel execution, we desi
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DIPPM: A Deep Learning Inference Performance Predictive Model Using Graph Neural Networks configurations but also helps to perform rapid design-space exploration for the inference performance of a model. We constructed a graph multi-regression dataset consisting of 10,508 different DL models to train and evaluate the performance of DIPPM, and reached a resulting Mean Absolute Percentage
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MetaLive: Meta-Reinforcement Learning Based Collective Bitrate Adaptation for Multi-Party Live Streant to learn to carry out various complex tasks from historical experience, and generate bitrate adaptation policies to maximize expected QoEs in diverse environments. We implement MetaLive based on an emulation platform, and use real-world network traces to evaluate its performance. Extensive experi
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