This post is a brief overview of our new study of abstract-syntax-tree and bytecode interpreters on top of RPython and the GraalVM metacompilation systems, which we are presenting next week at OOPSLA. Prelude: Why Did I Build a Language on Top of the Truffle and RPython Metacompilation Systems? Writing this post, I realized that I have been working on interpreters on top of metacompilation systems
Last week, I gave two lectures at the Programming Language Implementation Summer School (PLISS). PLISS was very well organized and the students and other presenters made for a very enjoyable week of new ideas, learning, and discussing. For my own lectures, I decided to take an approach that focused more on the high-level ideas and can introduce a wider audience to how we build interpreters and a r
233 AST vs. Bytecode: Interpreters in the Age of Meta-Compilation OCTAVE LAROSE, University of Kent, UK SOPHIE KALEBA, University of Kent, UK HUMPHREY BURCHELL, University of Kent, UK STEFAN MARR, University of Kent, UK Thanks to partial evaluation and meta-tracing, it became practical to build language implementations that reach state-of-the-art peak performance by implementing only an interprete
Abstract Runtime metaprogramming enables many useful applications and is often a convenient solution to solve problems in a generic way, which makes it widely used in frameworks, middleware, and domain-specific languages. However, powerful metaobject protocols are rarely supported and even common concepts such as reflective method invocation or dynamic proxies are not optimized. Solutions proposed
Abstract With the rise of domain-specific languages (DSLs), research in language implementation techniques regains importance. While DSLs can help to manage the domain’s complexity, it is rarely affordable to build highly optimizing compilers or virtual machines, and thus, performance remains an issue. Ideally, one would implement a simple interpreter and still reach acceptable performance levels.
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