Live Webcast 15th Annual Charm++ Workshop

Conventional implementations of the MPI standard tend to associate one MPI process per processor, which limits their support for modern multi-core platforms. An increasingly popular approach is to combine MPI with threads in a finer-grained decomposition model where MPI ``processes'' are light-weight threads. Global variables in legacy MPI applications, however, present a challenge because they may be accessed by multiple MPI threads simultaneously. Thus, transforming legacy MPI applications to become thread-safe in order to exploit multi-core architectures requires proper handling of global variables. In this paper, we present three approaches to automatically eliminate global variables to ensure thread-safety for an MPI program. These approaches include: (a) a compiler-based refactoring technique, using a Photran-based tool as an example, which automates the source-to-source transformation for programs written in Fortran; (b) a technique based on a global offset table (GOT); and (c) a technique based on thread local storage (TLS). The second and third methods automatically detect global variables and privatize them for each thread at runtime. We discuss the advantages and disadvantages of these approaches and compare their performance using both synthetic benchmarks, such as the NAS Benchmarks, and a real scientific application, the FLASH code.