2007Unpublished venueRequires access

Software speculative multithreading for Java

Christopher J. F. Pickett

Open publisher page 4 citations

Abstract

We apply speculative multithreading to sequential Java programs in software to achieve speedup on existing multiprocessors. A common speculation library supports both Java bytecode interpreter and JIT compiler implementations. Initial profiling results indicate three main optimizations: adaptive return value prediction, online fork heuristics, and in-order nested method level speculation.

About this research paper

What this paper is about

We apply speculative multithreading to sequential Java programs in software to achieve speedup on existing multiprocessors. A common speculation library supports both Java bytecode interpreter and JIT compiler implementations. Initial profiling results indicate three main optimizations: adaptive return value prediction, online fork heuristics, and in-order nested method level speculation.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We apply speculative multithreading to sequential Java programs in software to achieve speedup on existing multiprocessors. A common speculation library supports both Java bytecode interpreter and JIT compiler implementations. Initial profiling results indicate three main optimizations: adaptive return value prediction, online fork heuristics, and in-order nested method level speculation.

Key concepts: Computer science, Speculative multithreading, Java bytecode, Java, Multithreading, Parallel computing, Programming language, Operating system

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