Live Objects All The Way Down: Removing the Barriers between Applications and Virtual Machines
CoRR(2023)
摘要
Object-oriented languages often use virtual machines (VMs) that provide
mechanisms such as just-in-time (JIT) compilation and garbage collection (GC).
These VM components are typically implemented in a separate layer, isolating
them from the application. While this approach brings the software engineering
benefits of clear separation and decoupling, it introduces barriers for both
understanding VM behavior and evolving the VM implementation. For example, the
GC and JIT compiler are typically fixed at VM build time, limiting arbitrary
adaptation at run time. Furthermore, because of this separation, the
implementation of the VM cannot typically be inspected and debugged in the same
way as application code, enshrining a distinction in easy-to-work-with
application and hard-to-work-with VM code. These characteristics pose a barrier
for application developers to understand the engine on top of which their own
code runs, and fosters a knowledge gap that prevents application developers to
change the VM.
We propose Live Metacircular Runtimes (LMRs) to overcome this problem. LMRs
are language runtime systems that seamlessly integrate the VM into the
application in live programming environments. Unlike classic metacircular
approaches, we propose to completely remove the separation between application
and VM. By systematically applying object-oriented design to VM components, we
can build live runtime systems that are small and flexible enough, where VM
engineers can benefit of live programming features such as short feedback
loops, and application developers with fewer VM expertise can benefit of the
stronger causal connections between their programs and the VM implementation.
To evaluate our proposal, we implemented Bee/LMR, a live VM for a
Smalltalk-derivative environment in 22057 lines of code. We analyze case
studies on tuning the garbage collector, avoiding recompilations by the
just-in-time compiler, and adding support to optimize code with vector
instructions to demonstrate the trade-offs of extending exploratory programming
to VM development in the context of an industrial application used in
production. Based on the case studies, we illustrate how our approach
facilitates the daily development work of a small team of application
developers.
Our approach enables VM developers to gain access to live programming tools
traditionally reserved for application developers, while application developers
can interact with the VM and modify it using the high-level tools they use
every day. Both application and VM developers can seamlessly inspect, debug,
understand, and modify the different parts of the VM with shorter feedback
loops and higher-level tools.
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