COMPUTER PERFORMANCE VARIABILITY PREDICTION

    公开(公告)号:US20250165813A1

    公开(公告)日:2025-05-22

    申请号:US18518276

    申请日:2023-11-22

    Abstract: An ML model is trained to learn relationships between empirical distributions of telltale indicators and empirical distributions of variability benchmarks associated with executing an application on a first computer system having a first configuration. At least one empirical distribution of a first variability benchmark associated with the application is specified to the ML model. Output information indicative of at least one telltale indicator that is associated with the first variability benchmark is received from the ML model.

    SERVER VIRTUAL ADDRESS SPACE
    6.
    发明申请

    公开(公告)号:US20190095242A1

    公开(公告)日:2019-03-28

    申请号:US16083284

    申请日:2016-03-09

    Abstract: Techniques for a thread in client process to switch to a server virtual address space are provided. In one aspect, a process may attach to a server virtual address space. A request may be received from a client thread within the client process to switch from a virtual address space associated with the client thread to a server virtual address space. The client thread may switch from the client thread associated virtual address space to the server virtual address space.

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