In one embodiment, a device includes a device body that includes a touch-sensitive display and a processor. The device also includes a band coupled to the device body and an optical sensor in or on the band. The optical sensor faces outward from the band and captures images. The processor communicates with the optical sensor to process captured images.

Wearable electronic device

In one embodiment, an apparatus includes one or more processors and a memory coupled to the processors that includes instructions executable by the processors. When executing the instructions, the processors present on a display of the apparatus a first screen of a graphical user interface. The first screen includes one or more first elements. The processors receive user input indicating a transition in the graphical user interface and, in response to the user input, transition from the first screen to a second screen of the graphical user interface and apply one or more visual transition effects to the transition. The second screen includes one or more second elements.

GUI transitions on wearable electronic device

A method for adaptively load balancing user sessions to reduce energy consumption includes identifying a session type for each of a plurality of user sessions. A server group is defined, providing access to a subset of the user sessions having a common session type. A power management schedule is also defined for the server group. The method includes consolidating, onto at least one server in the server group, the subset of user sessions. In still another aspect, a method for reducing energy consumption by dynamically managing power modes for a plurality of servers, includes monitoring, via a power monitoring agent, a level of load on one of the servers. A power management console generates a power management schedule for a server, responsive to the monitored level of load. Responsive to the power management schedule, a power management controller dynamically controls a level of power for the server.

Systems and methods to adaptively load balance user sessions to reduce energy consumption

A plurality of SMP modules and an IOP module communicate storage traffic via respective corresponding I/O controllers coupled to respective physical ports of a switch fabric by addressing cells to physical port addresses corresponding to the physical ports. One of the SMPs executes initiator software to partially manage the storage traffic and the IOP executes target software to partially manage the storage traffic. Storage controllers are coupled to the IOP, enabling communication with storage devices, such as disk drives, tape drives, and/or networks of same. Respective network identification registers are included in each of the I/O controller corresponding to the SMP executing the initiator software and the I/O controller corresponding to the IOP. Transport of the storage traffic in accordance with a particular VLAN is enabled by writing a same particular value into each of the network identification registers.

Storage traffic communication via a switch fabric in accordance with a vlan

In one embodiment, a wearable computing device includes one or more sensors, one or more processors, and a memory coupled to the processors that includes instructions executable by the processors. When executing the instructions, the processors detect, by one or more of the sensors of the wearable computing device when worn on a limb of a user, a gesture-recognition-activation event associated with the wearable computing device; detect, by one or more sensors of the wearable computing device when worn on the limb of the user, a movement of the limb; determine a gesture made by the user based at least in part on the movement; and process the gesture as input to the computing wearable computing device.

User gesture input to wearable electronic device involving movement of device

A method and an apparatus for managing power consumption of a server have been disclosed. In one embodiment, the method includes allowing a user to set a power management policy on a server, monitoring power consumption of a plurality of blades in the server, and automatically managing power consumption of the server in response to the power consumption of the plurality of blades based on the power management policy set by the user. Other embodiments have been claimed and described.

A method and apparatus for managing power consumption of a server

Hot plug modules comprising processors, memory, and/or I/O hubs may be added to and removed from a running computing device without rebooting the running computing device. The hot plug modules and computing device comprise hot plug interfaces that support hot plug addition and hot plug removal of the hot plug modules.

Hot plug interface control method and apparatus

One embodiment of the invention provides a firmware architecture which splits firmware modules to support safe updates of specific modules as well as supporting multiple different processors. A firmware image is partitioned into several different binaries based on their update requirements and processor/platform dependence. A firmware interface table enables safe updates by enabling the option of redundant copies of specific modules as well as supporting systems with different and/or multiple processor types, mixed processors from the same family, and/or fault resilient firmware updates.

Firmware architecture supporting safe updates and multiple processor types

An apparatus and method for enumeration of processors during hot-plug of a compute node are described. The method includes the enumeration, in response to a hot-plug reset, of one or more processors. The enumeration is provided to a system architecture operating system in which a compute node is hot-plugged. Once enumeration is complete, the compute node is started in response to an operating system activation request. Accordingly, once device enumeration, as well as resource enumeration are complete, the one or more processors of the processor memory node are activated, such that the operating system may begin utilizing the processors of the hot-plugged compute node.

Apparatus and method for enumeration of processors during hot-plug of a compute node

A method of electing a bootstrap processor from among a plurality of processor includes creating an atomic access shared location and electing one of said processors as the bootstrap processor.

David O'shea

Papers

A method and apparatus for managing power consumption of a server

Hot plug interface control method and apparatus

Firmware architecture supporting safe updates and multiple processor types

Apparatus and method for enumeration of processors during hot-plug of a compute node

Bootstrap processor election mechanism on multiple cluster bus systems