annotate docs/tutorial/LangImpl4.rst @ 0:95c75e76d11b

LLVM 3.4
author Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
date Thu, 12 Dec 2013 13:56:28 +0900
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children 60c9769439b8
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1 ==============================================
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2 Kaleidoscope: Adding JIT and Optimizer Support
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3 ==============================================
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4
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5 .. contents::
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6 :local:
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7
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8 Chapter 4 Introduction
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9 ======================
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10
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11 Welcome to Chapter 4 of the "`Implementing a language with
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12 LLVM <index.html>`_" tutorial. Chapters 1-3 described the implementation
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13 of a simple language and added support for generating LLVM IR. This
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14 chapter describes two new techniques: adding optimizer support to your
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15 language, and adding JIT compiler support. These additions will
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16 demonstrate how to get nice, efficient code for the Kaleidoscope
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17 language.
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18
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19 Trivial Constant Folding
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20 ========================
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21
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22 Our demonstration for Chapter 3 is elegant and easy to extend.
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23 Unfortunately, it does not produce wonderful code. The IRBuilder,
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24 however, does give us obvious optimizations when compiling simple code:
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25
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26 ::
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27
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28 ready> def test(x) 1+2+x;
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29 Read function definition:
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30 define double @test(double %x) {
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31 entry:
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32 %addtmp = fadd double 3.000000e+00, %x
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33 ret double %addtmp
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34 }
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35
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36 This code is not a literal transcription of the AST built by parsing the
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37 input. That would be:
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38
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39 ::
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40
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41 ready> def test(x) 1+2+x;
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42 Read function definition:
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43 define double @test(double %x) {
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44 entry:
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45 %addtmp = fadd double 2.000000e+00, 1.000000e+00
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46 %addtmp1 = fadd double %addtmp, %x
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47 ret double %addtmp1
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48 }
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49
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50 Constant folding, as seen above, in particular, is a very common and
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51 very important optimization: so much so that many language implementors
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52 implement constant folding support in their AST representation.
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53
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54 With LLVM, you don't need this support in the AST. Since all calls to
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55 build LLVM IR go through the LLVM IR builder, the builder itself checked
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56 to see if there was a constant folding opportunity when you call it. If
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57 so, it just does the constant fold and return the constant instead of
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58 creating an instruction.
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59
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60 Well, that was easy :). In practice, we recommend always using
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61 ``IRBuilder`` when generating code like this. It has no "syntactic
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62 overhead" for its use (you don't have to uglify your compiler with
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63 constant checks everywhere) and it can dramatically reduce the amount of
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64 LLVM IR that is generated in some cases (particular for languages with a
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65 macro preprocessor or that use a lot of constants).
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66
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67 On the other hand, the ``IRBuilder`` is limited by the fact that it does
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68 all of its analysis inline with the code as it is built. If you take a
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69 slightly more complex example:
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70
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71 ::
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72
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73 ready> def test(x) (1+2+x)*(x+(1+2));
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74 ready> Read function definition:
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75 define double @test(double %x) {
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76 entry:
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77 %addtmp = fadd double 3.000000e+00, %x
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78 %addtmp1 = fadd double %x, 3.000000e+00
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79 %multmp = fmul double %addtmp, %addtmp1
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80 ret double %multmp
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81 }
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82
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83 In this case, the LHS and RHS of the multiplication are the same value.
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84 We'd really like to see this generate "``tmp = x+3; result = tmp*tmp;``"
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85 instead of computing "``x+3``" twice.
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86
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87 Unfortunately, no amount of local analysis will be able to detect and
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88 correct this. This requires two transformations: reassociation of
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89 expressions (to make the add's lexically identical) and Common
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90 Subexpression Elimination (CSE) to delete the redundant add instruction.
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91 Fortunately, LLVM provides a broad range of optimizations that you can
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92 use, in the form of "passes".
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93
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94 LLVM Optimization Passes
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95 ========================
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96
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97 LLVM provides many optimization passes, which do many different sorts of
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98 things and have different tradeoffs. Unlike other systems, LLVM doesn't
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99 hold to the mistaken notion that one set of optimizations is right for
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100 all languages and for all situations. LLVM allows a compiler implementor
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101 to make complete decisions about what optimizations to use, in which
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102 order, and in what situation.
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103
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104 As a concrete example, LLVM supports both "whole module" passes, which
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105 look across as large of body of code as they can (often a whole file,
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106 but if run at link time, this can be a substantial portion of the whole
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107 program). It also supports and includes "per-function" passes which just
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108 operate on a single function at a time, without looking at other
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109 functions. For more information on passes and how they are run, see the
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110 `How to Write a Pass <../WritingAnLLVMPass.html>`_ document and the
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111 `List of LLVM Passes <../Passes.html>`_.
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112
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113 For Kaleidoscope, we are currently generating functions on the fly, one
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114 at a time, as the user types them in. We aren't shooting for the
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115 ultimate optimization experience in this setting, but we also want to
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116 catch the easy and quick stuff where possible. As such, we will choose
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117 to run a few per-function optimizations as the user types the function
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118 in. If we wanted to make a "static Kaleidoscope compiler", we would use
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119 exactly the code we have now, except that we would defer running the
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120 optimizer until the entire file has been parsed.
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121
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122 In order to get per-function optimizations going, we need to set up a
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123 `FunctionPassManager <../WritingAnLLVMPass.html#passmanager>`_ to hold
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124 and organize the LLVM optimizations that we want to run. Once we have
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125 that, we can add a set of optimizations to run. The code looks like
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126 this:
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127
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128 .. code-block:: c++
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129
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130 FunctionPassManager OurFPM(TheModule);
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131
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132 // Set up the optimizer pipeline. Start with registering info about how the
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133 // target lays out data structures.
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134 OurFPM.add(new DataLayout(*TheExecutionEngine->getDataLayout()));
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135 // Provide basic AliasAnalysis support for GVN.
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136 OurFPM.add(createBasicAliasAnalysisPass());
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137 // Do simple "peephole" optimizations and bit-twiddling optzns.
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138 OurFPM.add(createInstructionCombiningPass());
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139 // Reassociate expressions.
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140 OurFPM.add(createReassociatePass());
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141 // Eliminate Common SubExpressions.
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142 OurFPM.add(createGVNPass());
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143 // Simplify the control flow graph (deleting unreachable blocks, etc).
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144 OurFPM.add(createCFGSimplificationPass());
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145
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146 OurFPM.doInitialization();
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147
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148 // Set the global so the code gen can use this.
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149 TheFPM = &OurFPM;
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150
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151 // Run the main "interpreter loop" now.
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152 MainLoop();
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153
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154 This code defines a ``FunctionPassManager``, "``OurFPM``". It requires a
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155 pointer to the ``Module`` to construct itself. Once it is set up, we use
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156 a series of "add" calls to add a bunch of LLVM passes. The first pass is
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157 basically boilerplate, it adds a pass so that later optimizations know
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158 how the data structures in the program are laid out. The
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159 "``TheExecutionEngine``" variable is related to the JIT, which we will
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160 get to in the next section.
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161
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162 In this case, we choose to add 4 optimization passes. The passes we
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163 chose here are a pretty standard set of "cleanup" optimizations that are
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164 useful for a wide variety of code. I won't delve into what they do but,
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165 believe me, they are a good starting place :).
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166
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167 Once the PassManager is set up, we need to make use of it. We do this by
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168 running it after our newly created function is constructed (in
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169 ``FunctionAST::Codegen``), but before it is returned to the client:
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170
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171 .. code-block:: c++
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172
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173 if (Value *RetVal = Body->Codegen()) {
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174 // Finish off the function.
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175 Builder.CreateRet(RetVal);
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176
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177 // Validate the generated code, checking for consistency.
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178 verifyFunction(*TheFunction);
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179
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180 // Optimize the function.
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181 TheFPM->run(*TheFunction);
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182
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183 return TheFunction;
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184 }
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185
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186 As you can see, this is pretty straightforward. The
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187 ``FunctionPassManager`` optimizes and updates the LLVM Function\* in
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188 place, improving (hopefully) its body. With this in place, we can try
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
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189 our test above again:
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190
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191 ::
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192
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193 ready> def test(x) (1+2+x)*(x+(1+2));
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194 ready> Read function definition:
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195 define double @test(double %x) {
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196 entry:
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197 %addtmp = fadd double %x, 3.000000e+00
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198 %multmp = fmul double %addtmp, %addtmp
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199 ret double %multmp
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200 }
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201
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202 As expected, we now get our nicely optimized code, saving a floating
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diff changeset
203 point add instruction from every execution of this function.
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204
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205 LLVM provides a wide variety of optimizations that can be used in
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
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diff changeset
206 certain circumstances. Some `documentation about the various
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
207 passes <../Passes.html>`_ is available, but it isn't very complete.
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parents:
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208 Another good source of ideas can come from looking at the passes that
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diff changeset
209 ``Clang`` runs to get started. The "``opt``" tool allows you to
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
210 experiment with passes from the command line, so you can see if they do
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
211 anything.
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212
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213 Now that we have reasonable code coming out of our front-end, lets talk
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
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214 about executing it!
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215
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216 Adding a JIT Compiler
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217 =====================
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218
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219 Code that is available in LLVM IR can have a wide variety of tools
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
220 applied to it. For example, you can run optimizations on it (as we did
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
221 above), you can dump it out in textual or binary forms, you can compile
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
222 the code to an assembly file (.s) for some target, or you can JIT
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
223 compile it. The nice thing about the LLVM IR representation is that it
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
224 is the "common currency" between many different parts of the compiler.
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225
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226 In this section, we'll add JIT compiler support to our interpreter. The
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
227 basic idea that we want for Kaleidoscope is to have the user enter
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parents:
diff changeset
228 function bodies as they do now, but immediately evaluate the top-level
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
229 expressions they type in. For example, if they type in "1 + 2;", we
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parents:
diff changeset
230 should evaluate and print out 3. If they define a function, they should
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
231 be able to call it from the command line.
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232
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233 In order to do this, we first declare and initialize the JIT. This is
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parents:
diff changeset
234 done by adding a global variable and a call in ``main``:
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235
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236 .. code-block:: c++
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237
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238 static ExecutionEngine *TheExecutionEngine;
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
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239 ...
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parents:
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240 int main() {
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241 ..
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parents:
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242 // Create the JIT. This takes ownership of the module.
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parents:
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243 TheExecutionEngine = EngineBuilder(TheModule).create();
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244 ..
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245 }
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246
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247 This creates an abstract "Execution Engine" which can be either a JIT
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
248 compiler or the LLVM interpreter. LLVM will automatically pick a JIT
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parents:
diff changeset
249 compiler for you if one is available for your platform, otherwise it
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
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diff changeset
250 will fall back to the interpreter.
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
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diff changeset
251
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
252 Once the ``ExecutionEngine`` is created, the JIT is ready to be used.
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
253 There are a variety of APIs that are useful, but the simplest one is the
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
254 "``getPointerToFunction(F)``" method. This method JIT compiles the
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
255 specified LLVM Function and returns a function pointer to the generated
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Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
256 machine code. In our case, this means that we can change the code that
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parents:
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257 parses a top-level expression to look like this:
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diff changeset
258
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259 .. code-block:: c++
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260
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261 static void HandleTopLevelExpression() {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
262 // Evaluate a top-level expression into an anonymous function.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
263 if (FunctionAST *F = ParseTopLevelExpr()) {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
264 if (Function *LF = F->Codegen()) {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
265 LF->dump(); // Dump the function for exposition purposes.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
266
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
267 // JIT the function, returning a function pointer.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
268 void *FPtr = TheExecutionEngine->getPointerToFunction(LF);
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
269
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
270 // Cast it to the right type (takes no arguments, returns a double) so we
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
271 // can call it as a native function.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
272 double (*FP)() = (double (*)())(intptr_t)FPtr;
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
273 fprintf(stderr, "Evaluated to %f\n", FP());
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
274 }
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
275
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
276 Recall that we compile top-level expressions into a self-contained LLVM
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
277 function that takes no arguments and returns the computed double.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
278 Because the LLVM JIT compiler matches the native platform ABI, this
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
279 means that you can just cast the result pointer to a function pointer of
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
280 that type and call it directly. This means, there is no difference
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
281 between JIT compiled code and native machine code that is statically
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
282 linked into your application.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
283
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
284 With just these two changes, lets see how Kaleidoscope works now!
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
285
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
286 ::
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
287
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
288 ready> 4+5;
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
289 Read top-level expression:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
290 define double @0() {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
291 entry:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
292 ret double 9.000000e+00
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
293 }
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
294
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
295 Evaluated to 9.000000
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
296
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
297 Well this looks like it is basically working. The dump of the function
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
298 shows the "no argument function that always returns double" that we
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
299 synthesize for each top-level expression that is typed in. This
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
300 demonstrates very basic functionality, but can we do more?
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
301
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
302 ::
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
303
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
304 ready> def testfunc(x y) x + y*2;
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
305 Read function definition:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
306 define double @testfunc(double %x, double %y) {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
307 entry:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
308 %multmp = fmul double %y, 2.000000e+00
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
309 %addtmp = fadd double %multmp, %x
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
310 ret double %addtmp
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
311 }
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
312
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
313 ready> testfunc(4, 10);
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
314 Read top-level expression:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
315 define double @1() {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
316 entry:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
317 %calltmp = call double @testfunc(double 4.000000e+00, double 1.000000e+01)
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
318 ret double %calltmp
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
319 }
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
320
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
321 Evaluated to 24.000000
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
322
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
323 This illustrates that we can now call user code, but there is something
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
324 a bit subtle going on here. Note that we only invoke the JIT on the
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
325 anonymous functions that *call testfunc*, but we never invoked it on
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
326 *testfunc* itself. What actually happened here is that the JIT scanned
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
327 for all non-JIT'd functions transitively called from the anonymous
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
328 function and compiled all of them before returning from
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
329 ``getPointerToFunction()``.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
330
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
331 The JIT provides a number of other more advanced interfaces for things
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
332 like freeing allocated machine code, rejit'ing functions to update them,
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
333 etc. However, even with this simple code, we get some surprisingly
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
334 powerful capabilities - check this out (I removed the dump of the
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
335 anonymous functions, you should get the idea by now :) :
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
336
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
337 ::
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
338
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
339 ready> extern sin(x);
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
340 Read extern:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
341 declare double @sin(double)
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
342
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
343 ready> extern cos(x);
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
344 Read extern:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
345 declare double @cos(double)
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
346
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
347 ready> sin(1.0);
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
348 Read top-level expression:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
349 define double @2() {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
350 entry:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
351 ret double 0x3FEAED548F090CEE
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
352 }
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
353
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
354 Evaluated to 0.841471
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
355
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
356 ready> def foo(x) sin(x)*sin(x) + cos(x)*cos(x);
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
357 Read function definition:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
358 define double @foo(double %x) {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
359 entry:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
360 %calltmp = call double @sin(double %x)
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
361 %multmp = fmul double %calltmp, %calltmp
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
362 %calltmp2 = call double @cos(double %x)
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
363 %multmp4 = fmul double %calltmp2, %calltmp2
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
364 %addtmp = fadd double %multmp, %multmp4
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
365 ret double %addtmp
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
366 }
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
367
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
368 ready> foo(4.0);
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
369 Read top-level expression:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
370 define double @3() {
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
371 entry:
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
372 %calltmp = call double @foo(double 4.000000e+00)
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
373 ret double %calltmp
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
374 }
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
375
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
376 Evaluated to 1.000000
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
377
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
378 Whoa, how does the JIT know about sin and cos? The answer is
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
379 surprisingly simple: in this example, the JIT started execution of a
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
380 function and got to a function call. It realized that the function was
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
381 not yet JIT compiled and invoked the standard set of routines to resolve
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
382 the function. In this case, there is no body defined for the function,
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
383 so the JIT ended up calling "``dlsym("sin")``" on the Kaleidoscope
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
384 process itself. Since "``sin``" is defined within the JIT's address
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
385 space, it simply patches up calls in the module to call the libm version
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
386 of ``sin`` directly.
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
387
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
388 The LLVM JIT provides a number of interfaces (look in the
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
389 ``ExecutionEngine.h`` file) for controlling how unknown functions get
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
390 resolved. It allows you to establish explicit mappings between IR
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
391 objects and addresses (useful for LLVM global variables that you want to
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
392 map to static tables, for example), allows you to dynamically decide on
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
393 the fly based on the function name, and even allows you to have the JIT
95c75e76d11b LLVM 3.4
Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp>
parents:
diff changeset
394 compile functions lazily the first time they're called.
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395
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396 One interesting application of this is that we can now extend the
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397 language by writing arbitrary C++ code to implement operations. For
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398 example, if we add:
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399
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400 .. code-block:: c++
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401
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402 /// putchard - putchar that takes a double and returns 0.
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403 extern "C"
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404 double putchard(double X) {
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405 putchar((char)X);
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406 return 0;
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407 }
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408
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409 Now we can produce simple output to the console by using things like:
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410 "``extern putchard(x); putchard(120);``", which prints a lowercase 'x'
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411 on the console (120 is the ASCII code for 'x'). Similar code could be
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412 used to implement file I/O, console input, and many other capabilities
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413 in Kaleidoscope.
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414
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415 This completes the JIT and optimizer chapter of the Kaleidoscope
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416 tutorial. At this point, we can compile a non-Turing-complete
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417 programming language, optimize and JIT compile it in a user-driven way.
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418 Next up we'll look into `extending the language with control flow
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419 constructs <LangImpl5.html>`_, tackling some interesting LLVM IR issues
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420 along the way.
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421
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422 Full Code Listing
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423 =================
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424
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425 Here is the complete code listing for our running example, enhanced with
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426 the LLVM JIT and optimizer. To build this example, use:
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427
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428 .. code-block:: bash
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429
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430 # Compile
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431 clang++ -g toy.cpp `llvm-config --cppflags --ldflags --libs core jit native` -O3 -o toy
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432 # Run
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433 ./toy
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434
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435 If you are compiling this on Linux, make sure to add the "-rdynamic"
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436 option as well. This makes sure that the external functions are resolved
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437 properly at runtime.
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438
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439 Here is the code:
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440
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441 .. literalinclude:: ../../examples/Kaleidoscope/Chapter4/toy.cpp
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442 :language: c++
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443
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444 `Next: Extending the language: control flow <LangImpl5.html>`_
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445