| K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002. |
....different system properties (including timing behaviour) of an arbitrarily complex and heterogeneous platform architecture still remains elusive. Relation to previous work. To address this problem, a general approach to timing analysis for heterogeneous systems was recently presented in [8] and [9]. It is based on identifying architectural components for which analysis methods are already known in the literature, and then combining these to obtain a compositional description of the complex system level timing behaviour. The main drawback of this approach is that it can only accommodate ....
....strategies such as static priority, proportional share, time division multiplexing, and earliest deadline first on standard event models like periodic, periodic with jitter, sporadic, etc, turn out to be special cases of the results that can be obtained in our framework. The work in [8] and [9] is based on composing different analysis domains where each analysis domain is restricted to only standard event models. Our work extends and generalizes the concepts presented in [8, 9] and is not restricted to timing analysis, but can also address other system properties in an uniform way such ....
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K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In 39th DAC, 2002.
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K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, R. Ernst, "Model Composition for Scheduling Analysis in Platform Design," Proc. Design Automation Conf. (DAC02), ACM Press, New York, 2002, pp. 287-292.
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K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proc. 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proc. 39th Design Automation Conference (DAC), New Orleans, LA, June 2002. ACM Press.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
....decouple the interaction of processes on different resources. Of course, as some point this interaction has to be accounted for. A process on one resource generates output signals which are input to another resource. The output of signals or events can also be captured using event models. In [18], we have shown that these output event models are within the four input event models introduced above. Furthermore, we provided rules to derive output event models from the already known performance parameters (input event models and response times) We can easily couple the performance analyses ....
K. Richter, D. Ziegenbein, R. Ernst, L. Thiele, and J. Teich. Model composition for scheduling analysis in platform design. In submitted to Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
....purely periodic anymore, but will experience a jitter that equals the difference between the upper (t resp ) and the lower (t resp )response time bounds. An overview of how output event models can be derived from the analysis characteristics (input event model and response time) is provided in [19]. 5. Conclusions In this paper, we presented a three level bottom up approach to formal timing analysis of complex heterogeneous HW SW platforms. We started with analyzing single task execution on the target processors. Subsequently, we analyzed the influence of resource sharing strategies for ....
K. Richter, D. Ziegenbein, R. Ernst, L. Thiele, and J. Teich. Model composition for scheduling analysis in platform design. In submitted to Proceeding 39th Design Automation Conference, New Orleans, USA, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, R. Ernst, Model composition for scheduling analysis in platform design, in: Design Automation Conference (DAC), 2002, pp. 287--292.
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K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model Composition for Scheduling Analysis in Platform Design. In Proceedings of DAC, 2002.
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K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In Design Automation Conference (DAC), pages 287--292, June 2002.
No context found.
K. Richter, D. Ziegenbein, M. Jersak, and R. Ernst. Model composition for scheduling analysis in platform design. In 39th DAC, 2002.
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