US 11,989,068 B2
Thermal and performance management
Xin Zhang, Chappaqua, NY (US); Shun Zhang, San Mateo, CA (US); Shaoze Fan, East Newark, NJ (US); Xiaoxiao Guo, Mountain View, CA (US); and Chuang Gan, Cambridge, MA (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jun. 29, 2022, as Appl. No. 17/852,699.
Prior Publication US 2024/0004443 A1, Jan. 4, 2024
Int. Cl. G06F 1/26 (2006.01); G06F 1/20 (2006.01); G06F 1/28 (2006.01); G06F 1/3203 (2019.01); G06N 20/00 (2019.01)
CPC G06F 1/26 (2013.01) [G06F 1/206 (2013.01); G06F 1/28 (2013.01); G06F 1/3203 (2013.01); G06N 20/00 (2019.01)] 14 Claims
OG exemplary drawing
 
1. A system for optimizing performance of a functional circuit unit, the system including:
a functional circuit unit having an associated cooling device and power converter;
one or more sensors for the functional circuit unit, the one or more sensors including a power sensor and a temperature sensor;
a first machine learning model (MLM) adapted to:
receive temperature data and power data from the one or more sensors; and
generate control signals for the cooling device and the power converter to optimize performance of the functional circuit unit; and
a second MLM adapted to:
predict a state representation of the functional circuit unit based at least in part on the temperature data and power data;
generate a vector that captures the predicted state representation; and
recognize temporal dependencies in the temperature data and power data.