McLAB

Hendren, Laurie; Doherty, Jesse; Dubrau, Anton; Garg, Rahul; Lameed, Nurudeen; Radpour, Soroush; Aslam, Amina; Aslam, Toheed; Casey, Andrew R.; Boisvert, Maxime Chevalier; Li, Jun; Verbrugge, Clark; Bélanger, Olivier Savary

doi:10.1145/2048147.2048203

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…A number of projects have attempted to use LLVM [38] as a compiler for high-level managed languages, such as Rubinius and MacRuby for Ruby [39,52], Unladen Swallow for Python [66], Shark and VMKit for Java [5,23], and McVM for MATLAB [24]. These implementations have to provide a translator from the guest languages' high-level semantics to the low-level semantics of LLVM IR.…”

Section: Other Approaches To High Performancementioning

confidence: 99%

One VM to rule them all

Würthinger¹,

Wimmer

Wöß

et al. 2013

Proceedings of the 2013 ACM International Symposium on New Ideas, New Paradigms, and Reflections on Programming &Amp; Software

240

127

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Building high-performance virtual machines is a complex and expensive undertaking; many popular languages still have low-performance implementations. We describe a new approach to virtual machine (VM) construction that amortizes much of the effort in initial construction by allowing new languages to be implemented with modest additional effort. The approach relies on abstract syntax tree (AST) interpretation where a node can rewrite itself to a more specialized or more general node, together with an optimizing compiler that exploits the structure of the interpreter. The compiler uses speculative assumptions and deoptimization in order to produce efficient machine code. Our initial experience suggests that high performance is attainable while preserving a modular and layered architecture, and that new highperformance language implementations can be obtained by writing little more than a stylized interpreter.

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Section: Other Approaches To High Performancementioning

confidence: 99%