Abstract: The present disclosure provides a prediction method and an apparatus for a faulty GPU, an electronic device and a storage medium. The method includes: acquiring parameter information of each GPU in a plurality of GPUs to obtain a parameter information set; inputting the parameter information set into a plurality of pre-trained prediction models to obtain a prediction result corresponding to each prediction model; and determining a faulty GPU from the plurality of GPUs according to the prediction result.

Abstract: A rocker polishing apparatus for full-aperture deterministic polishing of a planar part includes a control system, a substrate, a lifting plate, a polishing module and a measuring module. The polishing module and the measuring module are arranged on the substrate. The lifting plate is arranged between the polishing module and the measuring module. The polishing module includes a rocker mechanism, a polishing pad surface dressing mechanism, a polishing pad surface profile measuring apparatus and a continuous polishing pad mechanism. The apparatus allows the material removal rate distribution of the planar part and the surface profile of the planar part be in the normalized mirror symmetry relationship by controlling the material removal rate distribution on the surface of the planar part, thereby implementing the deterministic polishing of the planar part and ensuring the efficient convergence of the surface profile of the planar part in the polishing process.

Abstract: Embodiments of the disclosure provide a method and apparatus for running a service, and an electronic device. An embodiment of the method includes: determining a target deployment manner of a graphics processing unit (GPU) according to performance data of each service in a service set, where the deployment manner includes: dividing the GPU into sub-GPUs of a respective size and determining a service configured to be run by each sub-GPU; and switching, for the service in the service set, running of the service from a sub-GPU indicated by a current deployment manner to a sub-GPU indicated by the target deployment manner. According to the embodiment, waste of the GPU can be reduced by running a plurality of services on the GPU.

Abstract: A defrost control for a heat exchange system initiates a defrost of the evaporator coil when a predetermined count of compressor cycles occurs and other sensed conditions indicate that defrost should be initiated. The sensed conditions include a sensed temperature of a condenser coil in the heat exchange system having dropped below a threshold temperature computed as a function of the number of compressor cycles that have occurred since the last defrost of the evaporator coil.

Abstract: A defrost control for a heat pump system initiates a defrost of the outdoor coil when certain computed condition occur. The conditions include exceeding a limit as to the difference that may be permitted between the maximum indoor coil temperature occurring since the last defrosting of the outdoor coil and the current indoor coil temperature. The limit that may not be exceeded is computed as a function of the maximum indoor coil temperature occurring since the last defrosting of the outdoor coil.

Abstract: A defrost control for a heat pump system initiates a defrost when certain computed conditions are exceeded. The conditions include a limit as to the difference that may be permitted between the maximum temperature difference of two measured temperatures and the current difference of these measured temperatures. The two measured temperatures are the temperature of the indoor coil of the heat pump and the indoor air temperature of the air being heated by the indoor coil.