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Motif User Interface Application (MUIApp) is an object‐oriented graphical user‐interface application framework. It simplifies the task of writing, modifying, and debugging window‐based applications by application of object‐oriented programming to the construction and manipulation of graphical user interface (GUI) components using a well‐established window system. The key means adopted in the design include: encapsulation of tedious X‐window programming details, construction of high‐level GUI components using Motif and Xt widgets as the primary building blocks, and definition of collaboration mechanisms between GUI components. Reports that the abstractions and mechanisms provided by MUIApp facilitate the development of graphical user interfaces for applications. Simplicity, extensibility and reusability are the key concerns in the design. MUIApp is written in C++ and runs mainly on top of Motif.

The purpose of this work is to present a methodology that harnesses the computational power of multiple graphics processing units (GPUs) and hides the complexities of tuning GPU parameters from the users.

A methodology for auto-tuning OpenCL configuration parameters has been developed.

This described process helps simplify coding and generates a significant gain in time for each method execution.

Most authors develop their GPU applications for specific hardware configurations. In this work, a solution is offered to make the developed code portable to any GPU hardware.

This paper considers the extension of the force-based element formulation to simulate the nonlinear, temperature-dependent response of structural frames exposed to fire. The two-dimensional formulation presented here accounts for thermal expansion, temperature-dependent material properties, and residual stresses. The element utilizes a fiber discretization to simulate the gradual plastification of the section. Geometric nonlinearities are included through coordinate transformations of the corotational reference frame. Analyses of benchmark experimental tests demonstrate that the force-based element formulation is computationally stable and provides accurate results for structures exposed to fire. In addition, comparisons to traditional displacement-based elements indicate that the force-based element may offer improved computational efficiency because fewer elements are needed per member.