Normalize, Transpose, and Distribute: An Automatic Approach for Handling Nonscalars
BibTeX
@MISC{Cooke_normalize,transpose,,
author = {Daniel E. Cooke and J. Nelson Rushton and Brad Nemanich and Robert G. Watson},
title = {Normalize, Transpose, and Distribute: An Automatic Approach for Handling Nonscalars},
year = {}
}
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Abstract
SequenceL is a concise, high-level language with a simple semantic that provides for the automatic derivation of many iterative and parallel control structures. The semantic repeatedly applies a “Normalize-Transpose-Distribute ” operation to functions and operators until base cases are discovered. Base cases include the grounding of variables and the application of built-in operators to operands of appropriate types. This paper introduces the results of a 24-month effort to reduce the language to a very small set of primitives. Included are comparisons with other languages, the formal syntax and semantics, and the traces of several example problems run with a prototype interpreter developed in 2006.
