Download Compiler Construction: 18th International Conference, CC by Vivek Sarkar (auth.), Oege de Moor, Michael I. Schwartzbach PDF

By Vivek Sarkar (auth.), Oege de Moor, Michael I. Schwartzbach (eds.)

This ebook constitutes the refereed lawsuits of the 18th foreign convention on Compiler building, CC 2009, held in York, united kingdom, in March 2009 as a part of ETAPS 2009, the eu Joint meetings on idea and perform of Software.

Following a truly thorough overview technique, 18 complete study papers have been chosen from seventy two submissions. themes lined contain conventional compiler building, compiler analyses, runtime structures and instruments, programming instruments, thoughts for particular domain names, and the layout and implementation of novel language constructs.

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Additional resources for Compiler Construction: 18th International Conference, CC 2009, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2009, York, UK, March 22-29, 2009. Proceedings

Sample text

This paper presents a Framework for determining Optimization Properties, FOP and shows it can be used to determine the interaction property, caused by optimizations enabling and disabling other optimizations. We combine the interaction property with the previously studied profitability property to efficiently find a good codespecific optimization sequence. FOP includes code and optimization models. The code model, automatically constructed from the source, captures characteristics about the code related to the pre-conditions of an optimization.

The Jedd code shown in Fig. 5 illustrates predicates being compiled. Line 2 shows the restriction of mustuse to a local finite domain. In line 4 the temporary attribute x6, that fulfils the same purpose as x1 in the previous example is unified with the attribute n. Lines 3 and 4 calculate the set of valuations where the current node is n. Line 5 implements the ¬ operator, calculating valuations where the current node isn’t n. Finally we take the intersection of the subcomponents, in order to satisfy the ∧ in the example.

For a statement in the program, the interaction algorithm determines how a set of optimizations interacts with one another. 3. The algorithm has three steps. Step 1: For each O ∈ O and each S ∈ C, compute the code changes needed to create or destroy an optimization opportunity. Step 2: For each O ∈ O and each S ∈ C, compute the post conditions after applying O at point S in C. Step 3: For each O ∈ O and each S ∈ C, compare create- and destroy- conditions with post conditions of all optimizations to determine enabling and disabling properties.

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