Blogs (28) >>
ECOOP 2016
Sun 17 - Fri 22 July 2016 Rome, Italy
Mon 18 Jul 2016 14:50 - 15:20 at Alfieri - Session 3 Chair(s): Edd Barrett

A method handle (MH) is a reference to an underlying Java method with potential method type transformations. Multiple interconnected method handles form a method handle graph (MHG). Together with the Java Virtual Machine (JVM) instruction, invokedynamic, the implementation of MHGs is significant to dynamically typed language implementations on the JVM. Addressing the abundance of equivalent MHGs during program runtime, this paper presents an MHG equivalence model and an online Method Handle Deduplication System (MHDeS). The equivalence model determines the equivalence of two MHGs in terms of two kinds of keys, i.e., MH key and MHG key, which uniquely identify the transformation of an MH and an MHG, respectively. MHDeS is an implementation of the equivalence model. Instead of creating equivalent MHGs and then detecting their equivalency, MHDeS employs a light-weight structure, the MHG index key, which wraps constructor parameters of an MH. MHDeS uses a transformation index, fast-path comparison, and filters, to speed up the equivalency detection of an MHG index key. Our experimental results with the Computer Language Benchmark Game (CLBG) JRuby micro-indy show that 1) MHDeS with filter off can speed up the benchmark by 4.67% and reduces memory usage by 7.19% on average; 2) the deduplication result can be affected by the choice of MH transformations for filtering; 3) MHDeS can have the MH JIT compilation performed earlier; and 4) as much as 32% of MHG index keys are detected as non-unique and eliminated by MHDeS, and the expense for a single detection is trivial.

Preprint (icooolps-final4.pdf)578KiB

Mon 18 Jul
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13:50 - 15:20: Session 3ICOOOLPS at Alfieri
Chair(s): Edd BarrettKing's College London
13:50 - 14:50
Talk
Growing an Abstract Grammar: Teaching Language Engineering
ICOOOLPS
Theo D'HondtVrije Universiteit Brussel
Media Attached
14:50 - 15:20
Talk
MHDeS: Deduplicate Method Handle Graph for Efficient Dynamic JVM Language Implementations
ICOOOLPS
Shijie XuUniversity of New Brunswick, David BremnerUniversity of New Brunswick, Daniel HeidingaIBM
Media Attached File Attached