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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Asymptotic Performance and Energy Consumption of SLACKnergy consumption of the computing centers is an ever-growing concern for economical and ecological reasons. Finally, we perform extensive simulations to empirically assess the performance of the algorithms with both synthetic and realistic execution time distributions.

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DIPPM: A Deep Learning Inference Performance Predictive Model Using Graph Neural Networksodel uses the underlying hardware efficiently takes a lot of effort. Knowledge about inference characteristics can help to find the right match so that enough resources are given to the model, but not too much. We have developed a DL Inference Performance Predictive Model (DIPPM) that predicts the i