CPA: Compositional Performance Analysis

Hofmann, Robin; Ahrendts, Leonie; Ernst, Rolf

doi:10.1007/978-94-017-7267-9_24

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…Providing end-to-end guarantees across computation and communication resources often requires complex analysis approaches, such as compositional performance analysis [18], [19] for the worst-case end-to-end timing behavior. By decoupling the data layer where transmission is performed from the control layer responsible for allocation and arbitration of available resources, data transfers are established and scheduled at a higher logical level before applications acquire access to physical shared resources.…”

Section: Admission Control For Guaranteeing E2e Qos In Mpsocsmentioning

confidence: 99%

The Road towards Predictable Automotive High - Performance Platforms

Rehm

Seitter

Larsson

et al. 2021

2021 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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Due to the trends of centralizing the E/E architecture and new computing-intensive applications, high-performance hardware platforms are currently finding their way into automotive systems. However, the SoCs currently available on the market have significant weaknesses when it comes to providing predictable performance for time-critical applications. The main reason for this is that these platforms are optimized for averagecase performance. This shortcoming represents one major risk in the development of current and future automotive systems. In this paper we describe how high-performance and predictability could (and should) be reconciled in future HW/SW platforms. We believe that this goal can only be reached in a close collaboration between system suppliers, IP providers, semiconductor companies, and OS/hypervisor vendors. Furthermore, academic input will be needed to solve remaining challenges and to further improve initial solutions.

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Section: Admission Control For Guaranteeing E2e Qos In Mpsocsmentioning

confidence: 99%

The Road towards Predictable Automotive High - Performance Platforms

Rehm

Seitter

Larsson

et al. 2021

2021 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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“…CPA [10] is a compositional analysis framework, that analyzes the timing behavior of each component in the system and encodes behavioral dependencies between components by the propagation of event flows. A component can represent (1) a task or (2) a join or fork of event flows where the join/fork operation adheres to system-specific rules.…”

Section: Principles Of Cpamentioning

confidence: 99%

“…According to the CPA algorithm at the component level [10], the IBP η , η is derived in a 3-step procedure which we briefly reproduce:…”

Section: Principles Of Cpamentioning

confidence: 99%

Increasing Accuracy of Timing Models: From CPA to CPA+

Köhler¹,

Nikolic²,

Ernst³

et al. 2019

2019 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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Formal analysis methods of embedded systems provide safe, but unfortunately often pessimistic bounds on response times. An important source of pessimism is the common approach to characterize service request either by the amount of data or the number of events to be processed. Several works, e.g. [1]-[4], have demonstrated that a dual model-which includes information on both data and events-is more accurate, especially for more complex scheduling problems. In this paper, we enrich Compositional Performance Analysis (CPA) by a new component interface which, as we show, is consistent with the generic dual model proposed in [3]. Furthermore, we discuss how composition of components should be realized and how the new information should be integrated into the analysis technique. The improved CPA is called CPA+, and we identify different types of scenarios where CPA+ is particularly beneficial.

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