Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs
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DOI: 10.1109/mm.2021.3139027
Abstract: The deep learning (DL) training process consists of multiple phases—data augmentation, training, and validation of the trained model. Traditionally, these phases are executed either on the central processing units or graphics processing units in a… read more here.
Keywords: training; bluefield dpus; distributed dnn; optimizing distributed ... See more keywords
Optimizing the 3D Distributed Climate inside Greenhouses Using Multi-Objective Optimization Algorithms and Computer Fluid Dynamics
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DOI: 10.3390/en12152873
Abstract: As one of the major production facilities in agriculture, a greenhouse has many spatial distributed factors influencing crop growth and energy consumption, such as temperature field, air flow pattern, CO 2 concentration distribution, etc. By… read more here.
Keywords: optimization; optimizing distributed; fluid dynamics; multi objective ... See more keywords