Compiling Fortran D for MIMD distributed-memory machines

:llel computing resents the only :usible way to continue to increase the computational power available to scientists and engineers. Parallel computers, however, are not likely to be widely successful until they are easy to program. A major component in the success of vector supercomputers is the ability of scientists to write Fortran programs in a "'vectorizable'" style and expect vectorizing compilers to automatically produce efficient code The resulting programs are easily maintained, debugged, and ported across different vector machines.