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A warning: this is not an introductory book, and people who want to learn about the basics of building a compiler should look elsewhere; perhaps Andrew Appel's ``Modern Compilers'' series. Muchnick's book is for people who want to write compilers which generate high-performance code.
A warning: this is not an introductory book, and people who want to learn about the basics of building a compiler should look elsewhere; perhaps Andrew Appel's ``Modern Compilers'' series. Muchnick's book is for people who want to write compilers which generate high-performance code.
Advanced compiler design deals with various forms of optimization,
including local, global and loop optimization. This is a complex
topic with thirty years of research behind it (it is interesting
to note that the late Gary Kildall, of CP/M fame, did some early
work on optiimization in the early 1970s). No single book can
provide complete coverage of all optimization issues. However,
this book, along with Allen and Kennedy's equally excellent
"Optimizing Compilers for Modern Architectures" covers almost
everything you need to know.
One of the problems with the academic literature on compiler
optimization is that it can be unnecessarily obscure. Muchnick
writes clearly, with the implementer in mind. He provides a
wide range of techniques, allowing the implementer to choose
the correct one for a given compiler. This approach is both
useful and necessary: there is no single method for building
a compiler, given the range of languages and design objectives.
Muchnick covers everything you need to know about local and
global scalar optimization, including scalar optimization in
loops and optimization for modern processor architecture.
The only thing missing is an indepth coverage of loop dependence
and optimization techniques, which is provided by Allen and
Kennedy.
If you are working on the design, implementation or extension of
a modern compiler, this book should be part of your library.
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