A Software Architecture for Massively Parallel Input-Output

For an increasing number of data intensive scientific applications, parallel I/O concepts are a major performance issue. Tackling this issue, we provide an outline of an input/output system designed for highly efficient, scalable and conveniently usable parallel I/O on distributed memory systems. The main focus of this paper is the parallel I/O runtime system support provided for software-generated programs produced by High Performance FORTRAN compilers. Specifically, our design is presented in the context of the Vienna Fortran Compilation System. Contents I Introduction 1 II Data Mapping Model 2 III Design of the Parallel I/O Runtime Support 3 IV Related Work 8 V Conclusions 8 I. Introduction The main issue for I/O subsystems in supercomputing environments is to feed arrays of computing processors with huge amounts of raw data (nowadays typically in the Tbyte range) in such a way that neither the The work described in this paper is being carried out as part of the research project..