Invention Grant
- Patent Title: System to analyze and enhance software based on graph attention networks
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Application No.: US16913756Application Date: 2020-06-26
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Publication No.: US11640295B2Publication Date: 2023-05-02
- Inventor: Mariano Tepper , Bryn Keller , Mihai Capota , Vy Vo , Nesreen Ahmed , Theodore Willke
- 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: G06F8/75
- IPC: G06F8/75 ; G06N3/08 ; G06N3/04

Abstract:
Systems, apparatuses and methods may provide for technology that generates a dependence graph based on a plurality of intermediate representation (IR) code instructions associated with a compiled program code, generates a set of graph embedding vectors based on the plurality of IR code instructions, and determines, via a neural network, one of an analysis of the compiled program code or an enhancement of the program code based on the dependence graph and the set of graph embedding vectors. The technology may provide a graph attention neural network that includes a recurrent block and at least one task-specific neural network layer, the recurrent block including a graph attention layer and a transition function. The technology may also apply dynamic per-position recurrence-halting to determine a number of recurring steps for each position in the recurrent block based on adaptive computation time.
Public/Granted literature
- US20200326934A1 SYSTEM TO ANALYZE AND ENHANCE SOFTWARE BASED ON GRAPH ATTENTION NETWORKS Public/Granted day:2020-10-15
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