We present a new Fortran source-to-source tool that helps to bridge the gap in the current Fortran tooling ecosystem. The goal of this tool is to translate standard Fortran code to various parallel programming languages in Fortran and C/C++ to enable running on a wide variety of GPUs and CPUs. The translation is performed using the full syntax parsing capabilities of the LFortran compiler, a research compiler currently in development. Using the Abstract Semantic Representation intermediate output of the compiler in this new work has made the translation simpler to accomplish. We also develop a map of the needed parallel constructs for a complete parallel language and begin to identify possible extensions to the existing Fortran language.

Smart meters and the smart grid will allow utility companies and customers to monitor their electricity and utility usage in fine-grained detail instead of the previously common monthly or yearly measurements. With this fine-grained detail comes serious privacy concerns. One of the most promising solutions for measuring and preserving privacy loss is differential privacy. Both differential privacy and the smart grid are relatively young developments that will require more research before they can be confidently implemented worldwide. With this systematic mapping study, we will provide an overview of the current literature and attempt to determine the future directions the research may take.