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How machine delays change user strategies
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Does “just in time” = “better late than never”?
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Using annotations to reduce dynamic optimization time
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A dynamic optimization framework for a Java just-in-time compiler
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Java Virtual Machine Specification
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LaTTe: A Java VM Just-in-Time Compiler with Fast and Efficient Register Allocation
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Overview of the IBM Java just-in-time compiler
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The java hotspotTM server compiler
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JVM'01 Proceedings of the 2001 Symposium on JavaTM Virtual Machine Research and Technology Symposium - Volume 1
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Selective compilation via fast code analysis and bytecode tracing
Proceedings of the 2006 ACM symposium on Applied computing
Enhanced hot spot detection heuristics for embedded java just-in-time compilers
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Selective just-in-time compilation for client-side mobile javascript engine
CASES '11 Proceedings of the 14th international conference on Compilers, architectures and synthesis for embedded systems
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The simplest strategy in Java just-in-time (JIT) compilers is to compile each Java method the first time it is called. However, better performance can often be obtained by selectively compiling methods based on heuristics of how often they are likely to be called during the rest of the program's execution. Various heuristics are examined when used as part of the Caldera UNIX Java JIT compiler. The simplest heuristics involving the number of times the method has executed so far and the size of the method prove to be the most effective, with more complicated heuristics not providing much or any additional benefit.