Sinossi
Caches in Embedded Systems improve average case performance, but they are a source of unpredictability, especially in the worst case software timing analysis with the consideration of data caches. This is a critical problem in real-time systems, where tight Worst Case Execution Time (WCET) is required for their schedulability analysis. Few works have studied data cache impacts on the WCET of programs, but only for programs with no input-dependent data accesses. To provide an efficient and accurate analysis for input-dependent data accesses, we develop classified cache architecture and a WCET framework for the architecture. Our work classifies predictable and unpredictable accesses, then allocates them into predictable caches and unpredictable caches accordingly, and uses CME (Cache Miss Equations) and our reuse-distance-based algorithm for their timing analysis respectively. Compared with simulation, our analysis framework produces a very good WCET tightness, and our architecture creates almost no hardware overhead or performance degradation. In addition, we examine NP-completeness of WCET analysis. We also explore data allocation techniques to improve system performance.
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L'autore
After Bachelor in Computer Science from NEU, I did my Master in Computer Engineering from National University of Singapore. During which,I went to ETH Zurich to conduct research in distributed computing. After my Master, I worked at Motorola and then Gemalto as Software Engineer in Singapore.Now I work at Motorola Mobility in Chicago.
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Cache Modeling for Timing Analysis in Real-Time Systems
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LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3844384707
ISBN 13: 9783844384703
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Caches in Embedded Systems improve average case performance, but they are a source of unpredictability, especially in the worst case software timing analysis with the consideration of data caches. This is a critical problem in real-time systems, where tight Worst Case Execution Time (WCET) is required for their schedulability analysis. Few works have studied data cache impacts on the WCET of programs, but only for programs with no input-dependent data accesses. To provide an efficient and accurate analysis for input-dependent data accesses, we develop classified cache architecture and a WCET framework for the architecture. Our work classifies predictable and unpredictable accesses, then allocates them into predictable caches and unpredictable caches accordingly, and uses CME (Cache Miss Equations) and our reuse-distance-based algorithm for their timing analysis respectively. Compared with simulation, our analysis framework produces a very good WCET tightness, and our architecture creates almost no hardware overhead or performance degradation. In addition, we examine NP-completeness of WCET analysis. We also explore data allocation techniques to improve system performance. 116 pp. Englisch. Codice articolo 9783844384703
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li YanhuiAfter Bachelor in Computer Science from NEU, I did my Master in Computer Engineering from National University of Singapore. During which,I went to ETH Zurich to conduct research in distributed computing. After my Master, I w. Codice articolo 5475991
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Cache Modeling for Timing Analysis in Real-Time Systems
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LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3844384707
ISBN 13: 9783844384703
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Caches in Embedded Systems improve average case performance, but they are a source of unpredictability, especially in the worst case software timing analysis with the consideration of data caches. This is a critical problem in real-time systems, where tight Worst Case Execution Time (WCET) is required for their schedulability analysis. Few works have studied data cache impacts on the WCET of programs, but only for programs with no input-dependent data accesses. To provide an efficient and accurate analysis for input-dependent data accesses, we develop classified cache architecture and a WCET framework for the architecture. Our work classifies predictable and unpredictable accesses, then allocates them into predictable caches and unpredictable caches accordingly, and uses CME (Cache Miss Equations) and our reuse-distance-based algorithm for their timing analysis respectively. Compared with simulation, our analysis framework produces a very good WCET tightness, and our architecture creates almost no hardware overhead or performance degradation. In addition, we examine NP-completeness of WCET analysis. We also explore data allocation techniques to improve system performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Codice articolo 9783844384703
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Cache Modeling for Timing Analysis in Real-Time Systems
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844384707
ISBN 13: 9783844384703
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Caches in Embedded Systems improve average case performance, but they are a source of unpredictability, especially in the worst case software timing analysis with the consideration of data caches. This is a critical problem in real-time systems, where tight Worst Case Execution Time (WCET) is required for their schedulability analysis. Few works have studied data cache impacts on the WCET of programs, but only for programs with no input-dependent data accesses. To provide an efficient and accurate analysis for input-dependent data accesses, we develop classified cache architecture and a WCET framework for the architecture. Our work classifies predictable and unpredictable accesses, then allocates them into predictable caches and unpredictable caches accordingly, and uses CME (Cache Miss Equations) and our reuse-distance-based algorithm for their timing analysis respectively. Compared with simulation, our analysis framework produces a very good WCET tightness, and our architecture creates almost no hardware overhead or performance degradation. In addition, we examine NP-completeness of WCET analysis. We also explore data allocation techniques to improve system performance. Codice articolo 9783844384703
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Cache Modeling for Timing Analysis in Real-Time Systems
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Taschenbuch. Condizione: Neu. Cache Modeling for Timing Analysis in Real-Time Systems | Yanhui Li | Taschenbuch | 116 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844384703 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106830807
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Cache Modeling for Timing Analysis in Real-Time Systems
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ISBN 13: 9783844384703
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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-F-077-00309
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ISBN 13: 9783844384703
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