Java Virtual Machine Specification
Java Virtual Machine Specification
In Search of Speculative Thread-Level Parallelism
PACT '99 Proceedings of the 1999 International Conference on Parallel Architectures and Compilation Techniques
The Jrpm system for dynamically parallelizing Java programs
Proceedings of the 30th annual international symposium on Computer architecture
Mitosis compiler: an infrastructure for speculative threading based on pre-computation slices
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
SableSpMT: a software framework for analysing speculative multithreading in Java
PASTE '05 Proceedings of the 6th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
POSH: a TLS compiler that exploits program structure
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Path specialization: reducing phased execution overheads
Proceedings of the 7th international symposium on Memory management
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The insertion of read and write barriers into managed code is a typical runtime compilation task of a Virtual Machine. As part of our current work in applying Thread-Level Speculation (TLS) to Java, we insert a high density of barriers that are conditionally executed based on the identity of the running thread and current execution context. Rather than perform runtime tests, it is more profitable for our TLS system to maintain thread and execution-context specific versions of methods that are compiled with unconditional barriers, and then rely on modified dispatch semantics to ensure conditional execution. In this paper, we extract the method versioning system from our TLS implementation and present it in a general form, which we call Dynamic Method Versioning (DMV). DMV allows thread and execution-context specific versions of Java methods to be dynamically generated and compiled, with inter-version dispatch managed by a runtime policy. We describe our technique via its implementation within the Jikes Research Virtual Machine, and present initial measurements of its runtime overheads.