Scientific vector language

Using a chemistry-aware embedded language like Scientific Vector Language (SVL), the Molecular Operating Environment (MOE) engine is not dependent on hardware and operating system [21], More than 80 MOE nodes are included, for example, node for retrosynthetic accessibility, protonation, Murcko framework generation. Shannon entropy model creation, InChl calculation, pharmacophore... 

In standard high level language programming the dimension of the NSS n, signals the number of nested do loops which are necessary to reproduce the structure in a computational environment. But the mathematical usefulness of this entity can be easily recognized when the particular characteristic of this symbolic unit is analyzed the involved vector parameters could be chosen with arbitrary and variable dimensions. There are many scientific and mathematical formulae which will benefit of this property, when written in a paper or computationally implemented. 

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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