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Numerical simulations based on particle methods have been widely used invarious fields including astrophysics. To date, simulation softwares have beendeveloped by individual researchers or research groups in each field, with ahuge amount of time and effort, even though numerical algorithms used are verysimilar. To improve the situation, we have developed a framework, called FDPS,which enables researchers to easily develop massively parallel particlesimulation codes for arbitrary particle methods. Until version 3.0, FDPS haveprovided API only for C++ programing language. This limitation comes from thefact that FDPS is developed using the template feature in C++, which isessential to support arbitrary data types of particle. However, there are manyresearchers who use Fortran to develop their codes. Thus, the previous versionsof FDPS require such people to invest much time to learn C++. This isinefficient. To cope with this problem, we newly developed a Fortran interfacelayer in FDPS, which provides API for Fortran. In order to support arbitrarydata types of particle in Fortran, we design the Fortran interface layer asfollows. Based on a given derived data type in Fortran representing particle, aPython script provided by us automatically generates a library that manipulatesthe C++ core part of FDPS. This library is seen as a Fortran module providingAPI of FDPS from the Fortran side and uses C programs internally tointeroperate Fortran with C++. In this way, we have overcome several technicalissues when emulating `template' in Fortran. By using the Fortran interface,users can develop all parts of their codes in Fortran. We show that theoverhead of the Fortran interface part is sufficiently small and a code writtenin Fortran shows a performance practically identical to the one written in C++.

Fortran interface layer of the framework for developing particle simulator FDPS