> >CRPC-TR 93307
> >Preliminary Experiences with the Fortran D Compiler
> >
> >Keywords:
> >
> >MIMD multiprocessors, parallel programming, languages, compilers,
> >optimization, performance, Fortran, empirical, evaluation
> >
> >Abstract:
> >
> >Fortran D is a version of Fortran enhanced with data decomposition
> >specifications. Case studies illustrate strengths and weaknesses of the
> >prototype Fortran D compiler when compiling linear algebra codes and
> >whole programs.  Statement groups, execution conditions, inter-loop
> >communication optimizations, multi-reductions, and array kills for
> >replicated arrays are identified as new compilation issues.  On the
> >Intel iPSC/860, the output of the prototype Fortran D compiler
> >approaches the performance of hand-optimized code for parallel
> >computations, but needs improvement for linear algebra and pipelined
> >codes.  The Fortran D compiler outperforms the CM Fortran compiler 
> >(2.1 beta) by a factor of four or more on the TMC CM-5 when not using
> >vector units.  Better analysis, run-time support, and flexibility are
> >required for the prototype compiler to be useful for a wider range of
> >programs.
> >
> >Appeared:
> >
> >Proceedings of Supercomputing '93, Portland, OR, November 1993.