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—Random forest classification is a well known machine learning technique that generates classifiers in the form of an ensemble (" forest ") of decision trees. The classification of an input sample is determined by the majority classification by the ensemble. Traditional random forest classifiers can be highly effective, but classification using a random(More)
The Hybrid Memory Cube is an early commercial product embodying attributes of future stacked DRAM architectures, namely large capacity, high bandwidth, on-package memory controller, and high speed serial interface. We study the performance and energy of a Gen2 HMC on data-centric workloads through a combination of emulation and execution on an HMC FPGA(More)
Manufacturing changes during a biological drug product life cycle occur often; one common change is that of the manufacturing site. Comparability studies may be required to ensure that the changes will not affect the pharmacokinetic properties of the drug. In addition, the bioanalytical method for sample analysis may evolve during the course of drug(More)
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