US 11,816,561 B2
Methods, systems, articles of manufacture and apparatus to map workloads
Estelle Aflalo, Haifa (IL); Amit Bleiweiss, Yad Binyamin (IL); Mattias Marder, Haifa (IL); and Eliran Zimmerman, Maalot (IL)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Oct. 31, 2022, as Appl. No. 17/977,774.
Application 17/977,774 is a continuation of application No. 16/541,878, filed on Aug. 15, 2019, granted, now 11,526,736.
Prior Publication US 2023/0111365 A1, Apr. 13, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/08 (2023.01); G06N 3/063 (2023.01); G06F 9/50 (2006.01); G06F 18/21 (2023.01)
CPC G06N 3/063 (2013.01) [G06F 9/5011 (2013.01); G06F 9/5044 (2013.01); G06F 18/217 (2023.01); G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
17. A method to optimize resource utilization comprising:
determining, by executing an instruction with processor circuitry, first layer performance metrics associated with a first layer of a neural network (NN) model based on execution with a first configuration of hardware circuitry;
determining, by executing an instruction with the processor circuitry, second layer performance metrics associated with the first layer of the NN model based on execution with a second configuration of hardware circuitry;
comparing, by executing an instruction with the processor circuitry, the first layer performance metrics and the second layer performance metrics; and
assigning, by executing an instruction with the processor circuitry, the first layer of the NN model to execute on one of the first or second configurations of hardware circuitry based on the comparison of the first layer performance metrics and the second layer performance metrics.