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

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Pubblicato in:	Information vol. 16, no. 4 (2025), p. 298
Autore principale:	Fang Tianyang
Altri autori:	Perez-Vicente, Alejandro, Johnson, Hans, Saniie Jafar
Pubblicazione:	MDPI AG
Soggetti:	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
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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