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