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US Patent 9558748 Methods for hybrid GPU/CPU data processing

Patent 9558748 was granted and assigned to Carnegie Mellon University on January, 2017 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Carnegie Mellon University
Carnegie Mellon University
Current Assignee
Carnegie Mellon University
Carnegie Mellon University
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9558748
Date of Patent
January 31, 2017
Patent Application Number
14426735
Date Filed
September 9, 2013
Patent Citations Received
‌
US Patent 11803733 Method for implementing neural network model in heterogeneous computing platform and apparatus for performing the same
‌
US Patent 11775815 System and method for deep memory network
Patent Primary Examiner
‌
Abul Azad
Patent abstract

The present invention describes methods for performing large-scale graph traversal calculations on parallel processor platforms. The invention describes methods for on-the-fly hypothesis rescoring that utilizes graphic processing units (GPUs) in combination with utilizing central processing units (CPUs) of computing devices. The invention is described in one embodiment as applied to the task of large vocabulary continuous speech recognition.

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