Invention Grant
- Patent Title: Automated resource usage configurations for deep learning neural network workloads on multi-generational computing architectures
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Application No.: US16259608Application Date: 2019-01-28
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Publication No.: US11029971B2Publication Date: 2021-06-08
- Inventor: Meenakshi Arunachalam , Kushal Datta , Vikram Saletore , Vishal Verma , Deepthi Karkada , Vamsi Sripathi , Rahul Khanna , Mohan Kumar
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Jordan IP Law, LLC
- Main IPC: G06F1/24
- IPC: G06F1/24 ; G06F9/00 ; G06F9/445 ; G06N5/04 ; G06N3/04 ; G06F9/50

Abstract:
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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