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The increasing complexity of semiconductor devices fabricated from wide-bandgap and ultra-wide-bandgap materials demand advanced thermal management solutions to mitigate heat buildup, a major cause of device failure. High thermal conductivity materials are thus becoming crucial for thermal management. Cubic boron arsenide (c-BAs) has emerged as a promising candidate. However, challenges remain in synthesizing high-quality crystals with low defect concentrations, high homogeneous thermal conductivity, and high yields using the conventional chemical vapor transport method. In this study, we report the synthesis of high-yield c-BAs single crystals using the Bridgman method. The crystals exhibit high uniformity, reduced defect densities, and lower carrier concentrations as confirmed through x-ray diffraction, Raman spectroscopy, temperature-dependent photoluminescence, and electrical transport measurements. Our work represents a significant step toward scalable production of high-quality c-BAs for industrial applications, offering a practical solution for improving thermal management in next-generation electronic devices. 

Asynchronous many-task runtimes look promising for the next generation of high performance computing systems. But these runtimes are usually based on new programming models, requiring extensive programmer effort to port existing applications to them. An alternative approach is to reimagine the execution model of widely used programming APIs, such as MPI, in order to execute them more asynchronously. Virtualization is a powerful technique that can be used to execute a bulk synchronous parallel program in an asynchronous manner. Moreover, if the virtualized entities can be migrated between address spaces, the runtime can optimize execution with dynamic load balancing, fault tolerance, and other adaptive techniques. Previous work on automating process virtualization has explored compiler approaches, source-to-source refactoring tools, and runtime methods. These approaches achieve virtualization with different tradeoffs in terms of portability (across different architectures, operating systems, compilers, and linkers), programmer effort required, and the ability to handle all different kinds of global state and programming languages. We implement support for three different related runtime methods, discuss shortcomings and their applicability to user-level virtualized process migration, and compare performance to existing approaches. Compared to existing approaches, one of our new methods achieves what we consider the best overall functionality in terms of portability, automation, support for migration, and runtime performance.