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公开(公告)号:US11467835B1
公开(公告)日:2022-10-11
申请号:US16199129
申请日:2018-11-23
Applicant: Amazon Technologies, Inc.
Inventor: Sudipta Sengupta , Poorna Chand Srinivas Perumalla , Jalaja Kurubarahalli , Samuel Oshin , Cory Pruce , Jun Wu , Eftiquar Shaikh , Pragya Agarwal , David Thomas , Karan Kothari , Daniel Evans , Umang Wadhwa , Mark Klunder , Rahul Sharma , Zdravko Pantic , Dominic Rajeev Divakaruni , Andrea Olgiati , Leo Dirac , Nafea Bshara , Bratin Saha , Matthew Wood , Swaminathan Sivasubramanian , Rajankumar Singh
Abstract: Techniques for partitioning data flow operations between execution on a compute instance and an attached accelerator instance are described. A set of operations supported by the accelerator is obtained. A set of operations associated with the data flow is obtained. An operation in the set of operations associated with the data flow is identified based on the set of operations supported by the accelerator. The accelerator executes the first operation.
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公开(公告)号:US10997409B1
公开(公告)日:2021-05-04
申请号:US16001618
申请日:2018-06-06
Applicant: Amazon Technologies, Inc.
Inventor: Sandeep Krishnamurthy , Rajankumar Singh , Aaron Markham , Lai Wei
Abstract: Techniques are described for using machine learning (ML) models to create information technology (IT) infrastructures at a service provider network based on image of IT system architecture diagrams. To create IT system architecture diagrams, system architects often use tools ranging from pen and paper and whiteboards to various types of software-based drawing programs. Based on a user-provided image of an IT system architecture diagram (for example, a digital scan of a hand drawn system diagram, an image file created by a software-based drawing program, or the like), a service provider network uses one or more ML models to analyze the image to identify the constituent elements of the depicted IT system architecture and to create an infrastructure template that can be used to automatically provision corresponding computing resources at the service provider network.
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