Abstract: A computer implemented method, system, and/or computer program product modifies a master template for an executable document. A version architecture comprises a master template for a master document, a new variation document that describes what changes are to be made to the master template for a specific context, and a resulting modified template based on the master template and rule-based instructions found in the new variation document. A processor defines an executable master document from the master template that, when executed, produces a final product. Specific rules set out conditions for modifying the master template for the specific context. These specific rules are used to define a new variation document, which is applied against the master template to generate a context-specific modified template. The context-specific modified template is then used to generate a context-specific executable document that, when executed, generates a final context-specific product.

Abstract: Techniques are presented that include accessing results of forward simulations of circuit yield, the results including at least circuit yield results including simulated device shapes. Using the circuit yield results, high-level traits of at least the simulated device shapes are determined. Based on the determined high-level traits and using the circuit yield results, a compact model for predicted yield is constructed, the compact model including a plurality of adjustable parameters, and the constructing the compact model for predicted yield including adjusting the adjustable parameters until at least one first predetermined criterion is met. An optimization problem is constructed including at least the compact model for yield, an objective, and a plurality of constraints. Using the optimization problem, the objective is modified subject to the plurality of constraints until at least one second predetermined criterion is met.

Abstract: A computer implemented method, system and/or computer program product schedules execution of work requests through work plan prioritization. One or more work packets are mapped to and assigned to each work request from a group of work requests. A complexity level is derived for and assigned to each work packet, and priority levels of various work requests are determined for each entity from a group of entities. A global priority for the group of work requests is then determined. The global priority and the complexity levels combine to create a priority function, which is used to schedule execution of the work requests.

Abstract: A method for illuminating a mask to project a desired image pattern into a photoactive material is described. The method includes receiving an image pattern. Determining a relationship between source pixels in a set of source pixels to desired intensities at one or more points in the image pattern is performed. Linear constraints are imposed on a set of intensity values based on one or more contingent intensity condition. The contingent intensity conditions include integer variables specifying contingent constraints. The method includes determining values of the set of intensity values in accordance with the linear constraints, using a constrained optimization algorithm. The set of intensity values represents intensities of a set of source pixels. The set of intensity values are output. Apparatus and computer readable storage media are also described.

Abstract: A computer implemented method, system and/or computer program product automatically allocates resources to functional areas of an enterprise activity environment. A skill level of a resource is determined for multiple functional areas. An affinity index is created and associated with each of the multiple functional areas, wherein the affinity index is based on a level of productivity drop of other resources in a specific functional area if the resource is assigned to another functional area. Expected resource and skill level requirements of a project are identified. The resource is automatically allocated to one or more functional areas based on the affinity index associated with a particular functional area in view of the expected resource and skill level requirements.

Abstract: A computer implemented method, system and/or computer program product schedule execution of work requests through work plan prioritization. One or more work packets are mapped to and assigned to each work request from a group of work requests. A complexity level is derived for and assigned to each work packet, and priority levels of various work requests are determined for each entity from a group of entities. A global priority for the group of work requests is then determined. The global priority and the complexity levels combine to create a priority function, which is used to schedule execution of the work requests.

Abstract: Techniques for determining maturity of a delivery process in an information technology maintenance project are provided. The techniques include collecting information during a delivery process, wherein the information comprises operational data, aggregating the collected information for each delivery dimension into one or more aggregate delivery measures, wherein the one or more aggregate delivery measures comprise one or more delivery dimensions, comparing the one or more delivery dimensions against a threshold to determine a level of maturity for each delivery dimension, and determining an overall level of maturity of the delivery process by combining the level of maturity for each delivery dimension.

Abstract: A simplified version of a multiexpose mask optimization problem is solved in order to find a compressed space in which to search for the solution to the full problem formulation. The simplification is to reduce the full problem to an unconstrained formulation. The full problem of minimizing dark region intensity while maintaining intensity above threshold at each bright point can be converted to the unconstrained problem of minimizing average dark region intensity per unit of average intensity in the bright regions. The extrema solutions to the simplified problem can be obtained for each source. This set of extrema solutions is then assessed to determine which features are predominantly printed by which source. A minimal set of extrema solutions serves as a space of reduced dimensionality within which to maximize the primary objective under constraints. The space typically has reduced dimensionality through selection of highest quality extrema solutions.

Abstract: Techniques are presented that include accessing results of forward simulations of circuit yield, the results including at least circuit yield results including simulated device shapes. Using the circuit yield results, high-level traits of at least the simulated device shapes are determined. Based on the determined high-level traits and using the circuit yield results, a compact model for predicted yield is constructed, the compact model including a plurality of adjustable parameters, and the constructing the compact model for predicted yield including adjusting the adjustable parameters until at least one first predetermined criterion is met. An optimization problem is constructed including at least the compact model for yield, an objective, and a plurality of constraints. Using the optimization problem, the objective is modified subject to the plurality of constraints until at least one second predetermined criterion is met.

Abstract: Techniques are presented that include accessing results of forward simulations of circuit yield, the results including at least circuit yield results including simulated device shapes. Using the circuit yield results, high-level traits of at least the simulated device shapes are determined. Based on the determined high-level traits and using the circuit yield results, a compact model for predicted yield is constructed, the compact model including a plurality of adjustable parameters, and the constructing the compact model for predicted yield including adjusting the adjustable parameters until at least one first predetermined criterion is met. An optimization problem is constructed including at least the compact model for yield, an objective, and a plurality of constraints. Using the optimization problem, the objective is modified subject to the plurality of constraints until at least one second predetermined criterion is met.

Abstract: A computer implemented method, system and/or computer program product automatically allocate resources to functional areas of an enterprise activity environment. A skill level of a resource is determined for multiple functional areas. A unique ramp-up index is associated with each of the multiple functional areas. An affinity index is associated with each of the multiple functional areas, wherein the affinity index is based on a level of productivity drop of other resources in a specific functional area if the resource is assigned to another functional area. Expected resource and skill level requirements of a project are identified, and a cohesion index is defined. The cohesion index measures the disruption that may result from adding the resource to or removing the resource from a functional area.

Abstract: Optical wave data for a semiconductor device design is divided into regions. First wavefront engineering is performed on the wave data of each region, accounting for just the wave data of each region and not accounting for the wave data of neighboring regions of each region. The optical wave data of each region is normalized based on results of the first wavefront engineering. Second wavefront engineering is performed on the wave data of each region, based at least on the wave data of each region as has been normalized. The second wavefront engineering takes into account the wave data of each region and a guard band around each region that includes the wave data of the neighboring regions of each region. The second wavefront engineering can be sequentially performed by organizing the regions into groups, and sequentially performing the second wavefront engineering on the regions of each group in parallel.

Abstract: A computer implemented method, system, and/or computer program product collaboratively reallocate resources across business modules. A collaboration vector, which describes primary and second abilities for each of multiple resources, is defined. A decision matrix is created from multiple collaboration vectors, and a pipeline for transferring the multiple resources among multiple business modules is defined based on the decision matrix. A recurring time interval to measure an effectiveness of the multiple business modules is defined, and the multiple resources are reallocated according to a measured effectiveness of the multiple business modules. The collaborative matrix is optimized to reflect reallocation of the multiple resources.

Abstract: A computer implemented method, system, and/or computer program product generate an optimal training policy and an optimal promotion policy to accommodate an upcoming project. Required new job positions are identified for an upcoming project. A skillset matrix, which describes a current skill level of each worker in a work unit, and a promotion matrix, which describes historical evaluations of how well each worker achieved predefined goals of past projects, are generated. The skillset matrix is utilized to create an optimal training policy that identifies which workers are in need of additional training in order to qualify for one or more of the identified new job positions, and the promotion matrix is utilized create an optimal promotion policy that identifies which workers will be candidates for being promoted into one or more of the identified said new job positions.

Abstract: Each work item from a group of work items is categorized as either complex or intense, and a unique work requirement statement is derived for each work item based on whether it is complex or intense. A unique resource value statement is assigned to different human resources. Past performances of the human resources are analyzed against completed work items in order to adjust the unique resource value statement, thus creating updated human resource value statements. An optimized work requirement statement is created by recalculating the unique work requirement statement for each work item based on the updated human resource value statements. A schedule for automated allocation of human resources to functional areas of an enterprise activity environment and scheduling of work items to the functional areas is formulated based on the optimized requirement statement for each work item in the group of work items.

Abstract: A computer implemented method, system, and/or computer program product optimize a shared service delivery system. A model of an existing shared service delivery system is created. Capacity of the existing shared service delivery system is defined according to required resources for existing projects, new projects, and proposed projects. Existing cells of practitioners in the existing shared service delivery system are identified, and any gaps or gluts of capacity in the existing cells of practitioners are identified according to a general predetermined resource requirement for the shared service delivery system.

Abstract: A method for illuminating a mask with a source to project a desired image pattern through a lithographic system onto a photoactive material including: defining a representation of the mask; obtaining a fractional resist shot noise (FRSN) parameter; determining a first relationship between a first set of optical intensity values and an edge roughness metric based on the FRSN parameter; determining a second relationship between a second set of optical intensity values and a lithographic performance metric; imposing a set of metric constraints based on one of the first and second relationships; setting up an objective function of optimization based on the remaining of the two relationships; determining optimum constrained values of the representation of the mask based on the set of metric constraints and the objective function; and outputting these values.

Abstract: A mode-selective add/drop unit for a mode division de/multiplexing device includes an optical ADU waveguide adapted for coupling to an input optical waveguide. The optical ADU waveguide includes at least one region providing optical signal coupling between the ADU waveguide and a multi-mode waveguide; and, one or more phase matching regions for controlling a relative or absolute phase difference between an electromagnetic wave (EMW) carried in the ADU waveguide and the multi-mode waveguide. The mode-selective add/drop unit may further include a transition region connecting the coupling region and a phase matching region, wherein a shape of a transition region is governed by a polynomial function, exponential function, logarithmic function, trigonometric function or, any combination of these functions.

Abstract: Programmable illuminators in exposure tools are employed to increase the degree of freedom in tool matching. A tool matching methodology is provided that utilizes the fine adjustment of the individual source pixel intensity based on a linear programming (LP) problem subjected to user-specific constraints to minimize the difference of the lithographic wafer data between two tools. The lithographic data can be critical dimension differences from multiple targets and multiple process conditions. This LP problem can be modified to include a binary variable for matching sources using multi-scan exposure. The method can be applied to scenarios that the reference tool is a physical tool or a virtual ideal tool. In addition, this method can match different lithography systems, each including a tool and a mask.

Abstract: A mode-selective add/drop unit for a mode division de/multiplexing device includes an optical ADU waveguide adapted for coupling to an input optical waveguide. The optical ADU waveguide includes at least one region providing optical signal coupling between the ADU waveguide and a multi-mode waveguide; and, one or more phase matching regions for controlling a relative or absolute phase difference between an electromagnetic wave (EMW) carried in the ADU waveguide and the multi-mode waveguide. The mode-selective add/drop unit may further include a transition region connecting the coupling region and a phase matching region, wherein a shape of a transition region is governed by a polynomial function, exponential function, logarithmic function, trigonometric function or, any combination of these functions.