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公开(公告)号:US20200065150A1
公开(公告)日:2020-02-27
申请号:US16110516
申请日:2018-08-23
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor: Zhikui Wang , Antonio Lain , Sai Rahul Chalamalasetti , Anshuman Goswami
Abstract: A method for allocating resources includes determining that an initial allocation of memory bandwidth for one or more computing jobs fails a performance metric. The memory bandwidth provides access to a global memory pool for multiple legacy processors across a memory fabric. The method also includes determining a new allocation of memory bandwidth for the computing jobs that meets the performance metric. Additionally, the method includes assigning the new allocation of memory bandwidth to the computing jobs. The method further includes executing the computing jobs using the new allocation of memory bandwidth.
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公开(公告)号:US20170206449A1
公开(公告)日:2017-07-20
申请号:US15327776
申请日:2014-09-17
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Antonio Lain
Abstract: Systems and methods associated with neural network verification are disclosed. One example method may be embodied on a non-transitory computer-readable medium storing computer-executable instructions. The instructions, when executed by a computer, may cause the computer to train a neural network with a training data set to perform a predefined task. The instructions may also cause the computer to train the neural network with a sentinel data set. The sentinel data set may cause the neural network to provide an identification signal in response to a predefined query set. The instructions may also cause the computer to verify whether a suspicious service operates an unauthorized copy of the neural network. The suspicious service may be verified by extracting the identification signal from responses the suspicious service provides to the predefined query set.
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