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annotate docs/HistoricalNotes/2001-04-16-DynamicCompilation.txt @ 3:9ad51c7bc036
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author | Kaito Tokumori <e105711@ie.u-ryukyu.ac.jp> |
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date | Wed, 15 May 2013 06:43:32 +0900 |
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1 By Chris: |
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2 |
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3 LLVM has been designed with two primary goals in mind. First we strive to |
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4 enable the best possible division of labor between static and dynamic |
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5 compilers, and second, we need a flexible and powerful interface |
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6 between these two complementary stages of compilation. We feel that |
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7 providing a solution to these two goals will yield an excellent solution |
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8 to the performance problem faced by modern architectures and programming |
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9 languages. |
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10 |
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11 A key insight into current compiler and runtime systems is that a |
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12 compiler may fall in anywhere in a "continuum of compilation" to do its |
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13 job. On one side, scripting languages statically compile nothing and |
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14 dynamically compile (or equivalently, interpret) everything. On the far |
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15 other side, traditional static compilers process everything statically and |
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16 nothing dynamically. These approaches have typically been seen as a |
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17 tradeoff between performance and portability. On a deeper level, however, |
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18 there are two reasons that optimal system performance may be obtained by a |
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19 system somewhere in between these two extremes: Dynamic application |
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20 behavior and social constraints. |
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21 |
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22 From a technical perspective, pure static compilation cannot ever give |
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23 optimal performance in all cases, because applications have varying dynamic |
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24 behavior that the static compiler cannot take into consideration. Even |
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25 compilers that support profile guided optimization generate poor code in |
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26 the real world, because using such optimization tunes that application |
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27 to one particular usage pattern, whereas real programs (as opposed to |
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28 benchmarks) often have several different usage patterns. |
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29 |
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30 On a social level, static compilation is a very shortsighted solution to |
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31 the performance problem. Instruction set architectures (ISAs) continuously |
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32 evolve, and each implementation of an ISA (a processor) must choose a set |
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33 of tradeoffs that make sense in the market context that it is designed for. |
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34 With every new processor introduced, the vendor faces two fundamental |
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35 problems: First, there is a lag time between when a processor is introduced |
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36 to when compilers generate quality code for the architecture. Secondly, |
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37 even when compilers catch up to the new architecture there is often a large |
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38 body of legacy code that was compiled for previous generations and will |
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39 not or can not be upgraded. Thus a large percentage of code running on a |
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40 processor may be compiled quite sub-optimally for the current |
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41 characteristics of the dynamic execution environment. |
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42 |
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43 For these reasons, LLVM has been designed from the beginning as a long-term |
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44 solution to these problems. Its design allows the large body of platform |
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45 independent, static, program optimizations currently in compilers to be |
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46 reused unchanged in their current form. It also provides important static |
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47 type information to enable powerful dynamic and link time optimizations |
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48 to be performed quickly and efficiently. This combination enables an |
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49 increase in effective system performance for real world environments. |