Supporting self-adaptivity for SPMD message-passing applications

Real parallel applications find little benefits from code portability that does not guarantee acceptable efficiency. In this paper, we describe the new features of a framework that allows the development of Single Program Multiple Data (SPMD) applications adaptable to different distributed-memory machines, varying from traditional parallel computers to networks of workstations. Special programming primitives providing indirect accesses to the platform and data domain guarantee code portability and open the way to runtime optimizations carried out by a scheduler and a runtime support.