Exploiting Standard Deviation of CPI to Evaluate Architectural Time-Predictability
| Autor: | Yiqiang Ding, Wei Zhang |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Measure (data warehouse)
Computer science Cycles per instruction business.industry Reliability (computer networking) General Engineering Standard deviation Computer Science Applications Software Computer engineering Computer architecture Metric (mathematics) Feature (machine learning) Predictability business |
| Zdroj: | Journal of Computing Science and Engineering. 8:34-42 |
| ISSN: | 1976-4677 |
| DOI: | 10.5626/jcse.2014.8.1.34 |
| Popis: | Time-predictability of computing is critical for hard real-time and safety-critical systems. However, currently there is no metric available to quantitatively evaluate time-predictability, a feature crucial to the design of time-predictable processors. This paper first proposes the concept of architectural time-predictability, which separates the time variation due to hardware architectural/microarchitectural design from that due to software. We then propose the standard deviation of clock cycles per instruction (CPI), a new metric, to measure architectural time-predictability. Our experiments confirm that the standard deviation of CPI is an effective metric to evaluate and compare architectural time-predictability for different processors. Category: Embedded computing |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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