A framework for performance analysis of co-array fortran

Co-Array Fortran (CAF) is a parallel programming extension to Fortran that provides a straightforward mechanism for representing distributed memory communication and, in particular, one-sided communication. Although this integration of communication primitives with the language improves programmer productivity, this new level of abstraction makes the analysis of CAF performance mode difficult. This situation is due, in part, to a lack of tools for the analysis of CAF applications. In this paper, we present an extension to the KOJAK toolkit based on a source-to-source translator that supports performance instrumentation, data collection, trace generation, and performance visualization of CAF applications. We illustrate this approach with a performance visualization of a CAF version of the Halo kernel benchmark using the VAMPIR event trace visualization tool.