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Issue created Oct 08, 2014 by John Zhang@u5157779Developer

Code generator prototyping strategies

Created by: eliotmoss

As we start to ramp up in Amherst, we're pondering how best to get things rolling (i.e., what a good starting point is) and where we want to end up.

Initial prototype thought

For our initial prototype we are thinking about using QEMU (locally pronounced KEE-mew), the Quick Emulator. QEMU is a whole machine emulator (but can also be configured to run as user-mode only) that supports emulating one hardware ISA on another one (and same to same, of course). Beng whole-machine it deals with devices, interrupts, memory mapping, etc., but the part of greatest interest to us is that it takes guest ISA code blocks and dynamically translates them to host machine code, maintaining the translations in a code cache. Thus parts of its design will be great for dynamic and adaptive code generation. QEMU works by translating guest code into QEMU IR, which is then passed to a target code generator. That code generator does a useful level of local register allocation and local optimizations (hence the Quick in Quick Emulator).

For our case, μVM IR would be the guest ISA and our target would the host ISA that QEMU targets. A part of how QEMU does things is that the guest register file is represented as a memory data structure and (to first approximation) the host registers are used for local register allocation. To finer approximation I believe QEMU can bind some guest registers to host registers, useful where the host register set is larger. For μVM IR the "registers" are the SSA values and we can probably get some mileage from the SSA form in telling the QEMU register allocator helpful things about when things "die", etc.

Downsides of this prototype approach include:

  • Dependence on QEMU
  • Code quality may be limited, particularly in that it will tend to push all variables to memory as it crosses from block to block
  • It is not clear what the situation is with QEMU and multithreading, though it may support concurrent execution

Upsides:

  • Fast path to getting native code going
  • Useful optimizations, especially for a dynamic environment
  • Back-end architecture design that we might want to use a guide in our own work
  • Already implements major platforms of interest

Eventual system design thought

Down the line we may want something like QEMU's code generation design, with more provision for (optional) higher levels of optimization and register allocation across larger scopes (that is, for whole functions, not just blocks/traces). But their internal IR, code generators, etc., might be a very useful base, as well as having a notion of the code cache design and so forth.

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