… s centralized approach, in which software suppliers need to keep track of, and maintain
appropriate compilers for, all the architectures for which they want to provide optimized code, our …

… ■ Chapter 7 describes a technique that reuses the well-known concept of function inlining
for performance optimization at the source code level. Unlike in existing inlining techniques, …

… to adopt classical structural reliability methods in conjunction with models that characterize
all … the implementation of complex models by writing JavaScript code without the need to …

… model of AI algorithms to optimize computer programing. The importance and practical role
of mathematical model-optimization methods … code and the quality of computer programming. …

… chitecture, the source code, other compilation decisions, and so on. Every … approach we
compare it directly with a leading analytic model and a leading empirical optimization approach…

… We developed a code generator that generates random programs and sequences of …
the ability of search approach combined with the cost model to find good code transformation …

… of computer programs along with specific models that are … of computer code, can be formulated
as a convex optimization problem, … theoretic approach for software analysis. We present …

… for global analysis of program structure in order to perform compile time optimization of
object code generated for expressions. The global expression optimization presented includes …

… , like our approach, the necessity of exploiting source language semantics in the … optimizations
that correspond to the UML model. Given the benefits of the model compilation approach …

… Perhaps the most important conclusion of this work is that empirical search may not be
necessary to generate high quality code, given the effectiveness of the model-driven approach. It …