Abstract: A computer-implemented method of managing resources for multiple trial distributed processing tasks is presented. The method includes estimating an expected time needed to process each of a set of mask patterns which can be independently processed. The method further includes allocating each of the set of mask patterns to a set of processing cores in accordance with the expected time, and processing the mask patterns in accordance with the allocation, when the computer in invoked to estimate, allocate, and process.

Abstract: A method of determining dimensional changes of features in a mask involves calculating a spacing to be used between adjacent unit cells, correcting a unit cell surrounded by replicas of the same unit cell at the calculated spacing for optical proximity effects, arraying the proximity corrected unit cell at the calculated spacing, and dividing the array of unit cells into templates. Each template frames a portion of the array of unit cells, and locations of the unit cells in each framed template are shifted relative to locations of the unit cells in other framed templates. Critical dimensions for features in the unit cell are determined within each template, and the critical dimensions determined across the template are used to obtain shift variances of each feature. A dimensional change is determined for a feature based on the shift variance for that feature.

Abstract: A computer-implemented method of managing resources for multiple trial distributed processing tasks is presented. The method includes estimating an expected time needed to process each of a set of mask patterns which can be independently processed. The method further includes allocating each of the set of mask patterns to a set of processing cores in accordance with the expected time, and processing the mask patterns in accordance with the allocation, when the computer in invoked to estimate, allocate, and process.