Dynamic code generation is the generation of machine code at runtime. It is typically used to strip a layer of interpretation by allowing compilation to occur at runtime. One of the most well-known applications of dynamic code generation is perhaps that of interpreters that compile source code to an intermediate bytecode form, which is then recompiled to machine code at run-time: this approach effectively combines the portability of bytecode representations with the speed of machine code. Another common application of dynamic code generation is in the field of hardware simulators and binary emulators, which can use the same techniques to translate simulated instructions to the instructions of the underlying machine.
Yet other applications come to mind: for example, windowing bitblt operations, matrix manipulations, and network packet filters. Albeit very powerful and relatively well known within the compiler community, dynamic code generation techniques are rarely exploited to their full potential and, with the exception of the two applications described above, have remained curiosities because of their portability and functionality barriers: binary instructions are generated, so programs using dynamic code generation must be retargeted for each machine; in addition, coding a run-time code generator is a tedious and error-prone task more than a difficult one.
GNU lightning provides a portable, fast and easily retargetable dynamic code generation system.
To be portable, GNU lightning abstracts over current architectures’ quirks and unorthogonalities. The interface that it exposes to is that of a standardized RISC architecture loosely based on the SPARC and MIPS chips. There are a few general-purpose registers (six, not including those used to receive and pass parameters between subroutines), and arithmetic operations involve three operands—either three registers or two registers and an arbitrarily sized immediate value.
On one hand, this architecture is general enough that it is possible to generate pretty efficient code even on CISC architectures such as the Intel x86 or the Motorola 68k families. On the other hand, it matches real architectures closely enough that, most of the time, the compiler’s constant folding pass ends up generating code which assembles machine instructions without further tests.