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- research-articleJune 2023
Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices
SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied ComputingPages 707–714https://doi.org/10.1145/3555776.3577744Most strategies to port ANN on edge devices train large ANN with large datasets on resourceful processors and shrink them (by pruning or using quantization) to fit them on less powerful processors. Those shrunk ANN still usually demand a considerable ...
- research-articleJune 2023
An Efficient Profiling Tool for Baseboard Management Controllers
SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied ComputingPages 1318–1324https://doi.org/10.1145/3555776.3577723The Baseboard Management Controller (BMC)1 is a specialized controller for monitoring servers remotely. By using the BMC, administrators of servers can quickly inspect hardware in case a server fails. A fast booting of the BMC is essential for inspecting ...