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Optimizing Instruction Prefetching to Improve Worst-Case Performance for Real-Time Applications
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  • Optimizing Instruction Prefetching to Improve Worst-Case Performance for Real-Time Applications
  • Optimizing Instruction Prefetching to Improve Worst-Case Performance for Real-Time Applications
저자명
Ding. Yiqiang,Yan. Jun,Zhang. Wei
간행물명
Journal of computing science and engineering
권/호정보
2009년|3권 1호|pp.59-71 (13 pages)
발행정보
한국정보과학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

While the average-case performance is important for general-purpose applications, worst-case performance is crucial for real-time systems to ensure schedulability and reliability. Recent work has shown that simple prefetching techniques such as the Next-N-Line prefetching can benefit both average-case and worst-case performance; however, the improvement on the worstcase execution time (WCET) is rather limited and inefficient. This paper presents two instruction prefetching approaches that are specially designed to enhance the worst-case performance, including the loop-based prefetching and WCET-oriented prefetching. Our experiments indicate that both instruction prefetching techniques can achieve better worst-case execution cycles than the Next-N-Line prefetching while having various impacts on the average-case performance.