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Enabling Transformation: Computer Science, Compiler Optimization, Adaptive Optimization
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| Please note that the content of this book primarily consists of articles
available from Wikipedia or other free sources online. In computer
science, an enabling transformation is a compiler optimization that
increases the effectiveness of other compiler optimizations. Such an
optimization may or may not improve program performance by itself, but
it also alters the structure of the program in such a way that other
optimizations may produce superior results. Typical enabling
transformations include: Inline expansion: By inserting the body of a
function in place of its call site, a large collection of
intraprocedural optimizations such as dead code elimination,
loop-invariant code motion, and induction variable elimination can take
advantage of information from both the caller and callee. Loop skewing:
By "skewing" the logical shape of an array, this loop optimization can
(when combined with loop interchange) eliminate loop-carried
dependencies, allowing an inner loop to be parallelized. |
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