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  1. * The Mono runtime
  2. The Mono runtime engine is considered feature complete.
  3. It implements a Just-in-Time compiler engine for the CIL
  4. virtual machine, the class loader, the garbage collector,
  5. threading system and metadata access libraries.
  6. We currently have two runtimes:
  7. <ul>
  8. * <b>mono:</b> Our Just-in-Time and Ahead-of-Time code
  9. generator for maximum performance. This supports
  10. x86, PowerPC and SPARC cpus.
  11. * <b>mint:</b> The Mono interpreter. This is an
  12. easy-to-port runtime engine.
  13. </ul>
  14. We are using the Boehm conservative garbage collector.
  15. The Mono runtime can be used as a stand-alone process, or it
  16. can be <a href="embedded-api.html">embedded into applications</a> (see
  17. the documentation in mono/samples/embed for more details).
  18. Embedding the Mono runtime allows applications to be extended
  19. in C# while reusing all of the existing C and C++ code.
  20. Paolo Molaro did a presentation on the current JIT engine and
  21. the new JIT engine. You can find his <a
  22. href="http://primates.ximian.com/~lupus/slides/jit/">slides
  23. here</a>
  24. ** Current JIT Engine: technical details (<b>updated, June 28th, 2003</b>)
  25. We have re-written our JIT compiler. We wanted to support a
  26. number of features that were missing:
  27. <ul>
  28. * Ahead-of-time compilation.
  29. The idea is to allow developers to pre-compile their code
  30. to native code to reduce startup time, and the working
  31. set that is used at runtime in the just-in-time compiler.
  32. Although in Mono this has not been a visible problem, we
  33. wanted to pro-actively address this problem.
  34. When an assembly (a Mono/.NET executable) is installed in
  35. the system, it would then be possible to pre-compile the
  36. code, and have the JIT compiler tune the generated code
  37. to the particular CPU on which the software is
  38. installed.
  39. This is done in the Microsoft.NET world with a tool
  40. called ngen.exe
  41. * Have a good platform for doing code optimizations.
  42. The design called for a good architecture that would
  43. enable various levels of optimizations: some
  44. optimizations are better performed on high-level
  45. intermediate representations, some on medium-level and
  46. some at low-level representations.
  47. Also it should be possible to conditionally turn these on
  48. or off. Some optimizations are too expensive to be used
  49. in just-in-time compilation scenarios, but these
  50. expensive optimizations can be turned on for
  51. ahead-of-time compilations or when using profile-guided
  52. optimizations on a subset of the executed methods.
  53. * Reduce the effort required to port the Mono code
  54. generator to new architectures.
  55. For Mono to gain wide adoption in the Unix world, it is
  56. necessary that the JIT engine works in most of today's
  57. commercial hardware platforms.
  58. </ul>
  59. The JIT engine implements a number of optimizations:
  60. <ul>
  61. * Opcode cost estimates (our architecture allows
  62. us to generate different code paths depending
  63. on the target CPU dynamically).
  64. * Inlining.
  65. * Constant folding, copy propagation, dead code elimination.
  66. Although compilers typically do
  67. constant folding, the combination of inlining with
  68. constant folding gives some very good results.
  69. * Linear scan register allocation. In the past,
  70. register allocation was our achilles heel, but now
  71. we have left this problem behind.
  72. * SSA-based framework. Various optimizations are
  73. implemented on top of this framework
  74. </ul>
  75. There are a couple of books that deal with this technique: "A
  76. Retargetable C Compiler" and "Advanced Compiler Design and
  77. Implementation" are good references. You can also get a
  78. technical description of <a
  79. href="http://research.microsoft.com/copyright/accept.asp?path=http://www.research.microsoft.com/~drh/pubs/iburg.pdf&pub=ACM">lbrug</a>.
  80. The new JIT engines uses three intermediate representations:
  81. the source is the CIL which is transformed into a forest of
  82. trees; This is fed into a BURS instruction selector that
  83. generates the final low-level intermediate representation.
  84. The instruction selector is documented in the following
  85. papers:
  86. <ul>
  87. * <a href="http://research.microsoft.com/copyright/accept.asp?path=http://www.research.microsoft.com/~drh/pubs/interface.pdf&pub=wiley">A code generation interface for ANSI C</a>
  88. * <a href="http://research.microsoft.com/copyright/accept.asp?path=http://www.research.microsoft.com/~drh/pubs/iburg.pdf&pub=ACM">Engineering efficient code generators using tree matching and dynamic programming.</a>
  89. </ul>
  90. ** Garbage Collection
  91. We are using the Boehm conservative GC. We might consider
  92. adopting other GC engines in the future, like the Intel ORP GC
  93. engine. The Intel ORP GC engine as it provides a precise
  94. garbage collector engine, similar to what is available on the
  95. .NET environment.
  96. <ul>
  97. * Garbage collection list and FAQ:<br>
  98. <a href="http://www.iecc.com/gclist/">http://www.iecc.com/gclist/</a>
  99. * "GC points in a Threaded Environment":<br>
  100. <a href="http://research.sun.com/techrep/1998/abstract-70.html">
  101. http://research.sun.com/techrep/1998/abstract-70.html</a>
  102. * "A Generational Mostly-concurrent Garbage Collector":
  103. <a href="http://research.sun.com/techrep/2000/abstract-88.html">
  104. http://research.sun.com/techrep/2000/abstract-88.html</a>
  105. * Details on The Microsoft .NET Garbage Collection Implementation:<br>
  106. <a href="http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnmag00/html/GCI.asp">http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnmag00/html/GCI.asp</a>
  107. <a href="http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnmag00/html/GCI2.asp">http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnmag00/html/GCI2.asp</a>
  108. </ul>
  109. ** IO and threading
  110. The ECMA runtime and the .NET runtime assume an IO model and a
  111. threading model that is very similar to the Win32 API.
  112. Dick Porter has developed WAPI: the Mono abstraction layer
  113. that allows our runtime to execute code that depend on this
  114. behaviour.
  115. ** Useful links
  116. Paolo Molaro found a few interesting links:
  117. <ul>
  118. * On compilation of stack-based languages:<br>
  119. <a href="http://www.complang.tuwien.ac.at/projects/rafts.html">
  120. http://www.complang.tuwien.ac.at/projects/rafts.html</a>
  121. * A paper on fast JIT compilation of a stack-based language:<br>
  122. <a href="http://www.research.microsoft.com/~cwfraser/pldi99codegen.pdf">
  123. http://www.research.microsoft.com/~cwfraser/pldi99codegen.pdf</a>
  124. * Vmgen generates much of the code for efficient virtual machine (VM)
  125. interpreters from simple descriptions of the VM instructions:<br>
  126. <a href="http://www.complang.tuwien.ac.at/anton/vmgen/">
  127. http://www.complang.tuwien.ac.at/anton/vmgen</a>
  128. </ul>
  129. ** PInvoke
  130. PInvoke is the mechanism we are using to wrap Unix API calls
  131. as well as talking to system libraries.
  132. Initially we used libffi, but it was fairly slow, so we have
  133. reused parts of the JIT work to create efficient PInvoke
  134. trampolines.
  135. ** Remoting
  136. Mono has support for remoting and proxy objects, just like
  137. .NET does. The runtime provides these facilities.
  138. ** Porting
  139. If you are interested in porting the Mono runtime to other
  140. platforms, you might find the pre-compiled <a
  141. href="archive/mono-tests.tar.gz">Mono regression test
  142. suite</a> useful to debug your implementation.
  143. * COM and XPCOM
  144. We plan on adding support for XPCOM on Unix and COM on Microsoft
  145. Windows later in our development process.