Many dynamic language virtual machines (VM) written in C++ work by compiling code that passes parameters into VM C++ methods which do most of the heavy lifting. For example, adding two values becomes two x86 pushes onto the stack with a x86 call into a C++ method add. When I last looked at Apple's SquirrelFish, that's all it did. The generated x86 code in Tamarin more or less does the same thing with a few optimizations. And having such a simple compiler works surprisingly well, but it only takes you so far. Sooner or later, you'll want to generate better, faster machine code.
An effective way of generating faster code is method inlining. Instead of generating calls, the JIT should inline the methods that do the real work. The problem for Tamarin's JIT, is that it doesn't know how to inline C++ methods. NanoJIT only compiles LIR, not C++. Enter the C++ to LIR translator.
We do this by statically compiling Tamarin with LLVM. LLVM is a pretty awesome GCC replacement that is nicely designed, object oriented, and generally a pleasure to work with. The output of LLVM is like an object file, but instead contains LLVM bitcode. This new tool then translates LLVM bitcode into LIR. At runtime, Tamarin compiles the LIR, which really represents a VM C++ method. Boom, inlinable C++ methods.
We don't have to apply the translator to only method inlining. In essence, Tamarin compiles VM C++ methods as if they were ActionScript methods. Application ActionScript, such as a youtube video, prior to execution, is translated into LIR, which is then compiled into machine code. We also translate most of Tamarin, written in C++, into LIR, which is then compilable into machine code by NanoJIT. NanoJIT has the power to compile, inline, and optimize VM C++ methods for the performance win.
Consider the three images above just to clarify the differences. The "standard" VM approach, and what Tamarin did before, is to JIT code that calls into C++ methods. The host C++ compiler (Visual Studio/GCC) does a lot of work, and the JIT has no idea what was going on. In a self-interpreting VM, the JIT compiles everything, application and VM code, and knows everything about itself. This approach mimics a self-interpreting VM by translating C++ methods into LIR, and JITing both application and VM code.
Over the next few weeks, I'll be detailing the implementation/design decisions in Tamarin.