Techniques for obtaining high performance in Java programs
ACM Computing Surveys (CSUR)
A Comprehensive Dynamic Processor Allocation Scheme for Multiprogrammed Multiprocessor Systems
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Min-cut program decomposition for thread-level speculation
Proceedings of the ACM SIGPLAN 2004 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
Software speculative multithreading for Java
Companion to the 22nd ACM SIGPLAN conference on Object-oriented programming systems and applications companion
Automatic parallelization for graphics processing units
PPPJ '09 Proceedings of the 7th International Conference on Principles and Practice of Programming in Java
Parallel execution of Java loops on Graphics Processing Units
Science of Computer Programming
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This paper presents a new approach to improve performance of Java programs by extending the superthreaded speculative execution model to exploit coarse-grained parallelism on a shared-memory multiprocessor system. The parallelization model, called Java Speculative MultiThreading (JavaSpMT), combines control speculation with run-time dependence checking to parallelize a wide variety of loop constructs, including do-while loops, that cannot be parallelized using standard parallelization techniques. JavaSpMT is implemented using the standard Java multithreading mechanism and the parallelization is expressed using a Java source-to-source transformation. Thus, the transformed programs are still portable to any shared-memory multiprocessor system with a Java Virtual Machine implementation that supports native threads.