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

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Detalles Bibliográficos
Publicado en:	Information vol. 16, no. 4 (2025), p. 298
Autor Principal:	Fang Tianyang
Outros autores:	Perez-Vicente, Alejandro, Johnson, Hans, Saniie Jafar
Publicado:	MDPI AG
Materias:	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
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
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