Invention Grant
US08626700B1 Context aware device execution for simulating neural networks in compute unified device architecture
有权
用于在计算统一设备架构中模拟神经网络的上下文感知设备执行
- Patent Title: Context aware device execution for simulating neural networks in compute unified device architecture
- Patent Title (中): 用于在计算统一设备架构中模拟神经网络的上下文感知设备执行
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Application No.: US13097615Application Date: 2011-04-29
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Publication No.: US08626700B1Publication Date: 2014-01-07
- Inventor: Xavier Monraz , Jeremy M. Lewi
- Applicant: Xavier Monraz , Jeremy M. Lewi
- Applicant Address: US CA San Diego
- Assignee: The Intellisis Corporation
- Current Assignee: The Intellisis Corporation
- Current Assignee Address: US CA San Diego
- Agency: Pillsbury Winthrop Shaw Pittman LLP
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06N7/00 ; G06N7/08

Abstract:
A system, method, and computer program product are provided for efficient allocation of attributes corresponding to neurons or connections of multiple types using a common data structure. A map file is generated by a pre-processor in order to map an attribute of a neuron or connection to a particular location within the common data structure based on a type associated with the neuron or connection, while allowing a neuron or connection of a different type to map its own attribute to that same particular location. Additionally, kernel code can be written to reference attribute names made available by the map file in order to provide reusability of code.
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