International Business Machines Corporation
Scheduler and simulator for an area-efficient, reconfigurable, energy-efficient, speed-efficient neural network
Last updated:
Abstract:
Mapping of logical neural cores to physical neural cores is provided. In various embodiments, a neural network description describing a plurality of logical cores is read. A plurality of precedence relationships is determined among the plurality of logical cores. Based on the plurality of precedence relationships, a directed acyclic graph among the plurality of logical cores is generated. By breadth first search of the directed acyclic graph, a schedule is generated. The schedule maps each of the plurality of logical cores to one of a plurality of physical cores at one of a plurality of time slices. Execution of the schedule is simulated.
Status:
Grant
Type:
Utility
Filling date:
29 Jun 2018
Issue date:
21 Dec 2021