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

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Bibliografske podrobnosti
izdano v:	Information vol. 16, no. 4 (2025), p. 298
Glavni avtor:	Fang Tianyang
Drugi avtorji:	Perez-Vicente, Alejandro, Johnson, Hans, Saniie Jafar
Izdano:	MDPI AG
Teme:	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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