We develop a system managing resource reservation for grid applications. The system provides different granularity of resource reservation to meet the resource requirements for different applications. In order to adap...
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We develop a system managing resource reservation for grid applications. The system provides different granularity of resource reservation to meet the resource requirements for different applications. In order to adapt to the dynamic resource requirement of grid applications, the system allows for dynamic adjustment of the reservation duration or resources at runtime. The test shows that Linpack result with maximum interference programs is only 0.39% of that without interference. However, the result with maximums interference program under resource reservation is 103.38% of that without interference.
We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR...
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We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR Plus can be integrated into the clinical workflow to promote individualized intervention strategies for the management of diabetic retinopathy.
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