Analyzing the Parallel Scalability of an Implicit Unstructured Mesh CFD Code
In this paper, the authors identify the scalability bottlenecks of an unstructured grid CFD code (PETSc-FUN3D) by studying the impact of several algorithmic and architectural parameters and by examining different programming models. The authors discuss the basic performance characteristics of this PDE code with the help of simple performance models developed in their earlier work, presenting primarily experimental results. In addition to achieving good per-processor performance (which has been addressed in the cited work and without which scalability claims are suspect) they strive to improve the implementation and convergence scalability of PETSc-FUN3D on thousands of processors.
In this paper, we have presented an effective yield improvement methodology that can help both manufacturing ::: foundries, fabless and fab-lite companies to identify systematic failures. It uses the physical addresses of failing bits ::: from wafer sort results to overlay to inline wafer defect inspection locations. The inline defect patterns or the design ::: patterns where overlay results showed matches were extracted and grouped by feature similarity or cell names. The potentially problematic design patterns can be obtained and used for design debug and process improvement.