US 12,260,323 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. 20, 2023, as Appl. No. 18/491,246.
Application 18/491,246 is a continuation of application No. 17/977,774, filed on Oct. 31, 2022, granted, now 11,816,561.
Application 17/977,774 is a continuation of application No. 16/541,878, filed on Aug. 15, 2019, granted, now 11,526,736, issued on Dec. 13, 2022.
Prior Publication US 2024/0119271 A1, Apr. 11, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/08 (2023.01); G06F 9/50 (2006.01); G06F 18/21 (2023.01); G06N 3/063 (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 comprising:
determining, by executing an instruction with programmable circuitry, first performance metrics corresponding to execution of a neural network (NN) model with a first configuration of hardware circuitry;
determining, by executing an instruction with the programmable circuitry, second performance metrics corresponding to execution of the NN model with a second configuration of the hardware circuitry;
comparing, by executing an instruction with the programmable circuitry, the first performance metrics and the second performance metrics; and
determining, by executing an instruction with the programmable circuitry, one of the first configuration of the hardware circuitry or the second configuration of the hardware circuitry for execution of the NN model based on the comparison of the first performance metrics and the second performance metrics.