- 专利标题： Automated resource usage configurations for deep learning neural network workloads on multi-generational computing architectures
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申请号： US16259608申请日： 2019-01-28
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公开(公告)号： US11029971B2公开(公告)日： 2021-06-08
- 发明人: Meenakshi Arunachalam , Kushal Datta , Vikram Saletore , Vishal Verma , Deepthi Karkada , Vamsi Sripathi , Rahul Khanna , Mohan Kumar
- 申请人： Intel Corporation
- 申请人地址： US CA Santa Clara
- 专利权人： Intel Corporation
- 当前专利权人： Intel Corporation
- 当前专利权人地址： US CA Santa Clara
- 代理机构： Jordan IP Law, LLC
- 主分类号： G06F1/24
- IPC分类号： G06F1/24 ; G06F9/00 ; G06F9/445 ; G06N5/04 ; G06N3/04 ; G06F9/50
摘要：
Systems, apparatuses and methods may provide for technology that identifies a first set of compute nodes and a second set of compute nodes, wherein the first set of compute nodes execute more slowly than the second set of compute nodes. The technology may also automatically determine a compute node configuration that results in a relatively low difference in completion time between the first set of compute nodes and the second set of compute nodes with respect to a neural network workload. In an example, the technology applies the compute node configuration to an execution of the neural network workload on one or more nodes in the first set of compute nodes and one or more nodes in the second set of compute nodes.
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