COMPILING ANALYZING PERSONNEL PERFORMANCE

Brand Owner Address Description
QUICK ALIGN Guanyin Labs, Inc. 3145 Geary Blvd #747 San Francisco CA 94118 Compiling and analyzing personnel performance data and information for business purposes; Data processing services in the field of employee performance and engagement; Compiling and analyzing data and information related to employee productivity, performance, and task management for business purposes, and providing guidance in the nature of business consultation services to facilitate effective team communication;Providing on-line non-downloadable software for use in business and workforce management, namely, for facilitating communication, evaluation, and feedback among personnel; Providing on-line non-downloadable software for enhancing productivity, organization, performance, and communication among team members and personnel; Providing on-line non-downloadable software that allows users to view, manage, and share data and information about the user's productivity and performance, and facilitates communication among users about productivity and performance data; Application service provider featuring application programming interface (API) software for compiling, processing, analyzing, tracking, reporting, and commenting on data and information related to personnel productivity, engagement, and performance; Providing on-line non-downloadable software for use in business and workforce management, namely, for compiling, processing, analyzing, tracking, reporting, and commenting on data and information related to personnel productivity, engagement, and performance; Providing on-line non-downloadable software for use in business and workforce management, namely, for distributing learning and training content among personnel;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A distributed make command is used when compiling a computer program in order to allow non-dependent processes in the compiling be performed in parallel, such as with different resources, in order to speed compile time. The distributed make command is typically executed by a user who also specifies a maximum number of resources to allocate to the compiling. The present invention dynamically adjusts this maximum number of resources to allocate if the resources become overloaded during the compiling, which has the effect of optimizing the efficiency of the compiling, either by reducing the number of resources utilized or by reducing the amount of time the compiling takes (or both).