Deep Learning Scheduling on a Field-Programmable Gate Array Cluster Using Configurable Deep Learning Accelerators

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Publicado no:	Information vol. 16, no. 4 (2025), p. 298
Autor principal:	Fang Tianyang
Outros Autores:	Perez-Vicente, Alejandro, Johnson, Hans, Saniie Jafar
Publicado em:	MDPI AG
Assuntos:	Xilinx Inc Software Deep learning Configuration management Artificial neural networks Edge computing Field programmable gate arrays Clusters Automation Machine learning Workloads System on chip Distributed processing Efficiency Scheduling Pipelining (computers) Neural networks Optimization Tensors Network latency Workload Design Real time Computer networks
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