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<!-- Created by GNU Texinfo 6.4, http://www.gnu.org/software/texinfo/ -->
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<head>
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<title>IPA (GNU Compiler Collection (GCC) Internals)</title>
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<meta name="description" content="IPA (GNU Compiler Collection (GCC) Internals)">
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<meta name="keywords" content="IPA (GNU Compiler Collection (GCC) Internals)">
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<link href="index.html#Top" rel="start" title="Top">
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<link href="Option-Index.html#Option-Index" rel="index" title="Option Index">
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<link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
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<link href="LTO.html#LTO" rel="up" title="LTO">
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<link href="WHOPR.html#WHOPR" rel="next" title="WHOPR">
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<link href="LTO-object-file-layout.html#LTO-object-file-layout" rel="prev" title="LTO object file layout">
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</head>
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<body lang="en">
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<a name="IPA"></a>
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<div class="header">
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<p>
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Next: <a href="WHOPR.html#WHOPR" accesskey="n" rel="next">WHOPR</a>, Previous: <a href="LTO-object-file-layout.html#LTO-object-file-layout" accesskey="p" rel="prev">LTO object file layout</a>, Up: <a href="LTO.html#LTO" accesskey="u" rel="up">LTO</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Option-Index.html#Option-Index" title="Index" rel="index">Index</a>]</p>
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</div>
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<hr>
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<a name="Using-summary-information-in-IPA-passes"></a>
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<h3 class="section">25.3 Using summary information in IPA passes</h3>
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<p>Programs are represented internally as a <em>callgraph</em> (a
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multi-graph where nodes are functions and edges are call sites)
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and a <em>varpool</em> (a list of static and external variables in
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the program).
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</p>
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<p>The inter-procedural optimization is organized as a sequence of
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individual passes, which operate on the callgraph and the
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varpool. To make the implementation of WHOPR possible, every
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inter-procedural optimization pass is split into several stages
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that are executed at different times during WHOPR compilation:
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</p>
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<ul>
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<li> LGEN time
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<ol>
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<li> <em>Generate summary</em> (<code>generate_summary</code> in
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<code>struct ipa_opt_pass_d</code>). This stage analyzes every function
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body and variable initializer is examined and stores relevant
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information into a pass-specific data structure.
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</li><li> <em>Write summary</em> (<code>write_summary</code> in
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<code>struct ipa_opt_pass_d</code>). This stage writes all the
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pass-specific information generated by <code>generate_summary</code>.
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Summaries go into their own <code>LTO_section_*</code> sections that
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have to be declared in <samp>lto-streamer.h</samp>:<code>enum
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lto_section_type</code>. A new section is created by calling
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<code>create_output_block</code> and data can be written using the
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<code>lto_output_*</code> routines.
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</li></ol>
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</li><li> WPA time
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<ol>
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<li> <em>Read summary</em> (<code>read_summary</code> in
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<code>struct ipa_opt_pass_d</code>). This stage reads all the
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pass-specific information in exactly the same order that it was
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written by <code>write_summary</code>.
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</li><li> <em>Execute</em> (<code>execute</code> in <code>struct
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opt_pass</code>). This performs inter-procedural propagation. This
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must be done without actual access to the individual function
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bodies or variable initializers. Typically, this results in a
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transitive closure operation over the summary information of all
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the nodes in the callgraph.
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</li><li> <em>Write optimization summary</em>
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(<code>write_optimization_summary</code> in <code>struct
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ipa_opt_pass_d</code>). This writes the result of the inter-procedural
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propagation into the object file. This can use the same data
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structures and helper routines used in <code>write_summary</code>.
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</li></ol>
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</li><li> LTRANS time
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<ol>
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<li> <em>Read optimization summary</em>
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(<code>read_optimization_summary</code> in <code>struct
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ipa_opt_pass_d</code>). The counterpart to
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<code>write_optimization_summary</code>. This reads the interprocedural
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optimization decisions in exactly the same format emitted by
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<code>write_optimization_summary</code>.
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</li><li> <em>Transform</em> (<code>function_transform</code> and
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<code>variable_transform</code> in <code>struct ipa_opt_pass_d</code>).
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The actual function bodies and variable initializers are updated
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based on the information passed down from the <em>Execute</em> stage.
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</li></ol>
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</li></ul>
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<p>The implementation of the inter-procedural passes are shared
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between LTO, WHOPR and classic non-LTO compilation.
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</p>
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<ul>
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<li> During the traditional file-by-file mode every pass executes its
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own <em>Generate summary</em>, <em>Execute</em>, and <em>Transform</em>
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stages within the single execution context of the compiler.
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</li><li> In LTO compilation mode, every pass uses <em>Generate
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summary</em> and <em>Write summary</em> stages at compilation time,
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while the <em>Read summary</em>, <em>Execute</em>, and
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<em>Transform</em> stages are executed at link time.
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</li><li> In WHOPR mode all stages are used.
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</li></ul>
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<p>To simplify development, the GCC pass manager differentiates
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between normal inter-procedural passes and small inter-procedural
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passes. A <em>small inter-procedural pass</em>
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(<code>SIMPLE_IPA_PASS</code>) is a pass that does
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everything at once and thus it can not be executed during WPA in
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WHOPR mode. It defines only the <em>Execute</em> stage and during
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this stage it accesses and modifies the function bodies. Such
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passes are useful for optimization at LGEN or LTRANS time and are
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used, for example, to implement early optimization before writing
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object files. The simple inter-procedural passes can also be used
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for easier prototyping and development of a new inter-procedural
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pass.
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</p>
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<a name="Virtual-clones"></a>
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<h4 class="subsection">25.3.1 Virtual clones</h4>
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<p>One of the main challenges of introducing the WHOPR compilation
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mode was addressing the interactions between optimization passes.
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In LTO compilation mode, the passes are executed in a sequence,
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each of which consists of analysis (or <em>Generate summary</em>),
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propagation (or <em>Execute</em>) and <em>Transform</em> stages.
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Once the work of one pass is finished, the next pass sees the
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updated program representation and can execute. This makes the
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individual passes dependent on each other.
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</p>
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<p>In WHOPR mode all passes first execute their <em>Generate
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summary</em> stage. Then summary writing marks the end of the LGEN
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stage. At WPA time,
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the summaries are read back into memory and all passes run the
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<em>Execute</em> stage. Optimization summaries are streamed and
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sent to LTRANS, where all the passes execute the <em>Transform</em>
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stage.
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</p>
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<p>Most optimization passes split naturally into analysis,
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propagation and transformation stages. But some do not. The
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main problem arises when one pass performs changes and the
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following pass gets confused by seeing different callgraphs
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between the <em>Transform</em> stage and the <em>Generate summary</em>
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or <em>Execute</em> stage. This means that the passes are required
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to communicate their decisions with each other.
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</p>
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<p>To facilitate this communication, the GCC callgraph
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infrastructure implements <em>virtual clones</em>, a method of
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representing the changes performed by the optimization passes in
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the callgraph without needing to update function bodies.
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</p>
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<p>A <em>virtual clone</em> in the callgraph is a function that has no
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associated body, just a description of how to create its body based
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on a different function (which itself may be a virtual clone).
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</p>
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<p>The description of function modifications includes adjustments to
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the function’s signature (which allows, for example, removing or
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adding function arguments), substitutions to perform on the
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function body, and, for inlined functions, a pointer to the
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function that it will be inlined into.
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</p>
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<p>It is also possible to redirect any edge of the callgraph from a
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function to its virtual clone. This implies updating of the call
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site to adjust for the new function signature.
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</p>
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<p>Most of the transformations performed by inter-procedural
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optimizations can be represented via virtual clones. For
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instance, a constant propagation pass can produce a virtual clone
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of the function which replaces one of its arguments by a
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constant. The inliner can represent its decisions by producing a
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clone of a function whose body will be later integrated into
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a given function.
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</p>
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<p>Using <em>virtual clones</em>, the program can be easily updated
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during the <em>Execute</em> stage, solving most of pass interactions
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problems that would otherwise occur during <em>Transform</em>.
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</p>
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<p>Virtual clones are later materialized in the LTRANS stage and
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turned into real functions. Passes executed after the virtual
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clone were introduced also perform their <em>Transform</em> stage
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on new functions, so for a pass there is no significant
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difference between operating on a real function or a virtual
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clone introduced before its <em>Execute</em> stage.
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</p>
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<p>Optimization passes then work on virtual clones introduced before
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their <em>Execute</em> stage as if they were real functions. The
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only difference is that clones are not visible during the
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<em>Generate Summary</em> stage.
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</p>
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<p>To keep function summaries updated, the callgraph interface
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allows an optimizer to register a callback that is called every
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time a new clone is introduced as well as when the actual
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function or variable is generated or when a function or variable
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is removed. These hooks are registered in the <em>Generate
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summary</em> stage and allow the pass to keep its information intact
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until the <em>Execute</em> stage. The same hooks can also be
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registered during the <em>Execute</em> stage to keep the
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optimization summaries updated for the <em>Transform</em> stage.
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</p>
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<a name="IPA-references"></a>
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<h4 class="subsection">25.3.2 IPA references</h4>
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<p>GCC represents IPA references in the callgraph. For a function
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or variable <code>A</code>, the <em>IPA reference</em> is a list of all
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locations where the address of <code>A</code> is taken and, when
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<code>A</code> is a variable, a list of all direct stores and reads
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to/from <code>A</code>. References represent an oriented multi-graph on
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the union of nodes of the callgraph and the varpool. See
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<samp>ipa-reference.c</samp>:<code>ipa_reference_write_optimization_summary</code>
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and
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<samp>ipa-reference.c</samp>:<code>ipa_reference_read_optimization_summary</code>
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for details.
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</p>
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<a name="Jump-functions"></a>
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<h4 class="subsection">25.3.3 Jump functions</h4>
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<p>Suppose that an optimization pass sees a function <code>A</code> and it
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knows the values of (some of) its arguments. The <em>jump
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function</em> describes the value of a parameter of a given function
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call in function <code>A</code> based on this knowledge.
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</p>
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<p>Jump functions are used by several optimizations, such as the
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inter-procedural constant propagation pass and the
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devirtualization pass. The inliner also uses jump functions to
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perform inlining of callbacks.
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</p>
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<hr>
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<div class="header">
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<p>
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Next: <a href="WHOPR.html#WHOPR" accesskey="n" rel="next">WHOPR</a>, Previous: <a href="LTO-object-file-layout.html#LTO-object-file-layout" accesskey="p" rel="prev">LTO object file layout</a>, Up: <a href="LTO.html#LTO" accesskey="u" rel="up">LTO</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Option-Index.html#Option-Index" title="Index" rel="index">Index</a>]</p>
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</div>
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