Abstract: Existing approaches for switching between different hardware accelerators in a heterogeneous accelerator approach have the disadvantage that complete potential of the heterogeneous hardware accelerators do not get used as the switching relies on load on the accelerators or a random switching in which entire task gets reassigned to a different hardware accelerator. The disclosure herein generally relates to data model training, and, more particularly, to a method and system for data model training using heterogeneous hardware accelerators. In this approach, the system switches between hardware accelerators when a measured accuracy of the data model after any epoch is below a threshold of accuracy.

Abstract: A unique pre-shared key plug-in is installed on a Chromebook device. Identification data associated with the Chromebook device is received, from the unique pre-shared key plug-in through a Chromebook client management system API. A unique pre-shared key is assigned to the Chromebook device using the identification data. The unique pre-shared key is sent to the Chromebook device. The Chromebook device is configured to seamlessly authenticate for a wireless network using the unique pre-shared key.

Abstract: Examples disclosed herein relate performing a disaster recovery rehearsal of a workload in a three-datacenter topology. A workload may be selected on a computing system at a first datacenter location of a three-datacenter topology, for performing a disaster recovery rehearsal. The three-datacenter topology may comprise a first datacenter location, a second datacenter location and a third datacenter location. At least one of second datacenter location or third datacenter location may be selected for performing the disaster recovery rehearsal. A configuration of the workload may be cloned to generate a cloned workload. A resource may be identified in a selected datacenter location for performing the disaster recovery rehearsal. The cloned workload may be applied to the resource in the selected datacenter location, and a result of running the cloned workload on the resource may be generated. The computing system may receive the result from the selected datacenter location.

Abstract: Examples disclosed herein relate performing a disaster recovery rehearsal of a workload in a three-datacenter topology. A workload may be selected on a computing system at a first datacenter location of a three-datacenter topology, for performing a disaster recovery rehearsal. The three-datacenter topology may comprise a first datacenter location, a second datacenter location and a third datacenter location. At least one of second datacenter location or third datacenter location may be selected for performing the disaster recovery rehearsal. A configuration of the workload may be cloned to generate a cloned workload. A resource may be identified in a selected datacenter location for performing the disaster recovery rehearsal. The cloned workload may be applied to the resource in the selected datacenter location, and a result of running the cloned workload on the resource may be generated. The computing system may receive the result from the selected datacenter location.

Abstract: A unique pre-shared key plug-in is installed on a Chromebook device. Identification data associated with the Chromebook device is received, from the unique pre-shared key plug-in through a Chromebook client management system API. A unique pre-shared key is assigned to the Chromebook device using the identification data. The unique pre-shared key is sent to the Chromebook device. The Chromebook device is configured to seamlessly authenticate for a wireless network using the unique pre-shared key.

Abstract: A unique pre-shared key plug-in is installed on a Chromebook device. Identification data associated with the Chromebook device is received, from the unique pre-shared key plug-in through a Chromebook client management system API. A unique pre-shared key is assigned to the Chromebook device using the identification data. The unique pre-shared key is sent to the Chromebook device. The Chromebook device is configured to seamlessly authenticate for a wireless network using the unique pre-shared key.

Abstract: A unique pre-shared key plug-in is installed on a Chromebook device. Identification data associated with the Chromebook device is received, from the unique pre-shared key plug-in through a Chromebook client management system API. A unique pre-shared key is assigned to the Chromebook device using the identification data. The unique pre-shared key is sent to the Chromebook device. The Chromebook device is configured to seamlessly authenticate for a wireless network using the unique pre-shared key.