Vector FORTRAN system

The remaining obstacle to producing a working vector processor system is the library of FORTRAN callable subroutines. 

Parallelization for shared-memory systems is a relatively easy task, at least compared to that for distributed-memory systems. The reason lies in the fact that in shared-memory systems the user does not have to keep track of where the data items of a program are stored they all reside in the same shared memory. For such machines often an important part of the work in a program can be parallelized, vectorized, or both in an automatic fashion. Consider, for instance, the simple multiplication of two rows of numbers several thousand elements long. This is an operation that is abundant in the majority of technical/scientific programs. Expressed in the programming language Fortran 90, this operation would look like... 

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