公开(公告)号：US20240070116A1

公开(公告)日：2024-02-29

申请号：US18207432

申请日：2023-06-08

Applicant: SAS Institute Inc.

Inventor： Shyam Kashinath Khatkale

IPC: G06F15/82 ,  G06F11/34

CPC classification number: G06F15/825 ,  G06F11/3495

Abstract: A computing device determines a node traversal order for computing a computational parameter value for each node of a data model of a system that includes a plurality of disconnected graphs. The data model represents a flow of a computational parameter value through the nodes from a source module to an end module. A flow list defines an order for selecting and iteratively processing each node to compute the computational parameter value in a single iteration through the flow list. Each node from the flow list is selected to compute a driver quantity for each node. Each node is selected from the flow list in a reverse order to compute a driver rate and the computational parameter value for each node. The driver quantity or the computational parameter value is output for each node to predict a performance of the system.

公开(公告)号：US11914548B1

公开(公告)日：2024-02-27

申请号：US18207432

申请日：2023-06-08

Applicant: SAS Institute Inc.

Inventor： Shyam Kashinath Khatkale

IPC: G06F15/82 ,  G06F11/34

CPC classification number: G06F15/825 ,  G06F11/3495

Abstract: A computing device determines a node traversal order for computing a computational parameter value for each node of a data model of a system that includes a plurality of disconnected graphs. The data model represents a flow of a computational parameter value through the nodes from a source module to an end module. A flow list defines an order for selecting and iteratively processing each node to compute the computational parameter value in a single iteration through the flow list. Each node from the flow list is selected to compute a driver quantity for each node. Each node is selected from the flow list in a reverse order to compute a driver rate and the computational parameter value for each node. The driver quantity or the computational parameter value is output for each node to predict a performance of the system.