Abstract: To eliminate the adverse effects of power swings in a large scale computing system during the life cycle of an application or job, control of several operating characteristics for the collective group of processors is provided. By providing certain levels of coordination for the many processors utilized in large scale computing systems, significant and abrupt changes in power needs can be avoided. In certain circumstances, this may involve limiting the transition between several C-States of the processors involved and the overall power transitions for a large scale system are not detrimental and do not create issues for the data center or local power utility. Some cases will require stepped transitions between C-States, while other cases will include both stepped and modulated transitions. Other cases will incorporate random wait times at the various transitions in order to spread the power consumption involved.

Abstract: To eliminate the adverse effects of power swings in a large scale computing system during the life cycle of an application or job, control of several operating characteristics for the collective group of processors is provided. By providing certain levels of coordination for the many processors utilized in large scale computing systems, significant and abrupt changes in power needs can be avoided. In certain circumstances, this may involve limiting the transition between several C-States of the processors involved and the overall power transitions for a large scale system are not detrimental and do not create issues for the data center or local power utility. Some cases will require stepped transitions between C-States, while other cases will include both stepped and modulated transitions. Other cases will incorporate random wait times at the various transitions in order to spread the power consumption involved.

Abstract: Systems and methods for predicting user lifetime value in accordance with embodiments of the invention are disclosed. In one embodiment, a lifetime value prediction server system includes a processor, and a memory configured to store a lifetime value prediction application, wherein the lifetime value prediction application directs the processor to obtain a set of user interaction data, group the set of user interaction data into cohorts, where the user interaction data within a cohort occurs on a particular day, calculate a set of known spending values based on the cohorts, determine a set of predicted spending values based on the set of known spending values, determine a set of predicted spending confidence values based on the set of known spending values, and calculate a set of predicted lifetime value data based on the set of predicted spending values and the set of predicted spending confidence values.

Abstract: To eliminate the adverse effects of power swings in a large scale computing system during the life cycle of an application or job, control of several operating characteristics for the collective group of processors is provided. By providing certain levels of coordination for the many processors utilized in large scale computing systems, significant and abrupt changes in power needs can be avoided. In certain circumstances, this may involve limiting the transition between several C-States of the processors involved and the overall power transitions for a large scale system are not detrimental and do not create issues for the data center or local power utility. Some cases will require stepped transitions between C-States, while other cases will include both stepped and modulated transitions. Other cases will incorporate random wait times at the various transitions in order to spread the power consumption involved.

Abstract: A method for providing real-time monitoring of and advice relative to user's personal finances is provided. One or more financial goals are received from a user. Financial data associated with the user and stored in one or more financial information data sources is accessed. The accessed financial data is analyzed based upon the one or more financial goals. One or more financial recommendations are provided based on the analyzed financial data and responsive to an occurrence of a user event related to an expenditure of user's funds.

Abstract: Systems and methods for predicting user lifetime value in accordance with embodiments of the invention are disclosed. In one embodiment, a lifetime value prediction server system includes a processor, and a memory configured to store a lifetime value prediction application, wherein the lifetime value prediction application directs the processor to obtain a set of user interaction data, group the set of user interaction data into cohorts, where the user interaction data within a cohort occurs on a particular day, calculate a set of known spending values based on the cohorts, determine a set of predicted spending values based on the set of known spending values, determine a set of predicted spending confidence values based on the set of known spending values, and calculate a set of predicted lifetime value data based on the set of predicted spending values and the set of predicted spending confidence values.

Abstract: An apparatus comprises a housing and a communication system. The housing includes a front portion and a rear portion. The rear portion has an engagement surface and a coupler configured to cooperate with a portion of a person-support apparatus to removably couple the housing to the person-support apparatus. The communication system includes at least one communication device coupled to the housing. The communication device is configured to at least one of transmit and receive at least one of a data signal and a power signal to/from the person-support apparatus and an external device.

Abstract: Systems and methods for scheduling program units that are part of a process executed within an operating system are disclosed. Additionally, at least one thread is started within the operating system, the thread is associated with the process. Further, a plurality of streams within the thread are selected for execution on a multiple processor unit. Upon the occurrence of a context shifting event, one of the streams enters a kernel mode. If the first stream to enter kernel mode must block, then the execution of the other streams of the plurality of streams is also blocked.

Abstract: Systems and methods of digitally distributing digital game content and tracking royalties for the digital game content may include a correlated title key, retail key, and license key. The a correlated title key, retail key, and license key may be used to generate a royalty rate. For example, a royalty rate may be generated based on the license key. Additionally, a royalty price may be generated based on the title key. Then, a royalty amount may be computed by multiplying the royalty rate and the royalty price. The royalty amount may be stored in a retailer account that corresponds to the retail key.