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On-line Trace Based Automatic Parallelization of Java Programs on Multicore Platforms
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  • On-line Trace Based Automatic Parallelization of Java Programs on Multicore Platforms
  • On-line Trace Based Automatic Parallelization of Java Programs on Multicore Platforms
저자명
Sun. Yu,Zhang. Wei
간행물명
Journal of computing science and engineering
권/호정보
2012년|6권 2호|pp.105-118 (14 pages)
발행정보
한국정보과학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

We propose two new approaches that automatically parallelize Java programs at runtime. These approaches, which rely on run-time trace information collected during program execution, dynamically recompile Java byte code that can be executed in parallel. One approach utilizes trace information to improve traditional loop parallelization, and the other parallelizes traces instead of loop iterations. We also describe a cost/benefit model that makes intelligent parallelization decisions, as well as a parallel execution environment to execute parallelized programs. These techniques are based on Jikes RVM. Our approach is evaluated by parallelizing sequential Java programs, and its performance is compared to that of the manually parallelized code. According to the experimental results, our approach has low overheads and achieves competitive speedups compared to the manually parallelizing code. Moreover, trace parallelization can exploit parallelism beyond loop iterations.