Titlebook: Design and Architecture for Signal and Image Processing; 15th International W Karol Desnos,Sergio Pertuz Conference proceedings 2022 Spring

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anatomical

Optimal Reachability in Cost Time Petri Netsbased inference accelerator. In the first case, we obtained a 51% average reduction of the computing workload, resulting in up to 44% inference speedup, and 15% energy-saving, while in the latter, a 36% speedup is achieved, thanks to a 44% workload reduction.

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https://doi.org/10.1007/978-3-319-65765-3nvironment and profiled data from an actual implementation of an H264 encoder. Results show the manager can make the targeted application run in constrained environment at the highest modeled QoS achievable without service breaks.

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Dynamic Pruning for Parsimonious CNN Inference on Embedded Systemsbased inference accelerator. In the first case, we obtained a 51% average reduction of the computing workload, resulting in up to 44% inference speedup, and 15% energy-saving, while in the latter, a 36% speedup is achieved, thanks to a 44% workload reduction.

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Comparative Study of Scheduling a Convolutional Neural Network on Multicore MCUtes their performances in terms of the makespan and energy consumption. The results show that the algorithm called . outperforms other two algorithms (. and .) and that the scheduling at layer level significantly reduces the energy consumption.