PREDICTION OF EFFICIENCY OF APPLICATION EXECUTION

    公开(公告)号:US20240211365A1

    公开(公告)日:2024-06-27

    申请号:US18069998

    申请日:2022-12-21

    CPC classification number: G06F11/3409 G06F9/44505

    Abstract: Computerized methods of classifying compute-intensive and memory-intensive applications are disclosed. A maximum efficiency for a user application is identified. A peak performance for a machine implementation is identified under one or more Quality of Service (QoS) parameters. Actual performance and resource usage of the application implementation using one or more performance vectors is measured and compared with the maximum efficiency and the peak performance. One or more areas of interest are identified using the performance vectors. If a critical hotspot area is identified from the one or more areas of interest, at least one feature is extracted from the critical hotspot area. An application signature is built if an approximation of performance is acceptable, based on the extracted features. The compute- and memory-intensive application may be classified based on the application signature.

    Memristive dot product engine virtualization

    公开(公告)号:US10740125B2

    公开(公告)日:2020-08-11

    申请号:US15884030

    申请日:2018-01-30

    Abstract: An example system includes at least one memristive dot product engine (DPE) having at least one resource, the DPE further having a physical interface and a controller, the controller being communicatively coupled to the physical interface, the physical interface to communicate with the controller to access the DPE, and at least one replicated interface, each replicated interface being associated with a virtual DPE, the replicated interface with communicatively coupled to the controller. The controller is to allocate timeslots to the virtual DPE through the associated replicated interface to allow the virtual DPE access to the at least one resource.

Patent Agency Ranking