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Modeling and Simulation of Invasive Applications and Architectures

Bag om Modeling and Simulation of Invasive Applications and Architectures

This book covers two main topics: First, novel fast and flexible simulation techniques for modern heterogeneous NoC-based multi-core architectures. These are implemented in the full-system simulator called InvadeSIM and designed to study the dynamic behavior of hundreds of parallel application programs running on such architectures while competing for resources. Second, a novel actor-oriented programming library called ActorX10, which allows to formally model parallel streaming applications by actor graphs and to analyze predictable execution behavior as part of so-called hybrid mapping approaches, which are used to guarantee real-time requirements of such applications at design time independent from dynamic workloads by a combination of static analysis and dynamic embedding.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811383861
  • Indbinding:
  • Hardback
  • Sideantal:
  • 168
  • Udgivet:
  • 13. juni 2019
  • Udgave:
  • 12019
  • Vægt:
  • 448 g.
  • BLACK NOVEMBER
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Leveringstid: 8-11 hverdage
Forventet levering: 21. november 2024

Beskrivelse af Modeling and Simulation of Invasive Applications and Architectures

This book covers two main topics: First, novel fast and flexible simulation techniques for modern heterogeneous NoC-based multi-core architectures. These are implemented in the full-system simulator called InvadeSIM and designed to study the dynamic behavior of hundreds of parallel application programs running on such architectures while competing for resources. Second, a novel actor-oriented programming library called ActorX10, which allows to formally model parallel streaming applications by actor graphs and to analyze predictable execution behavior as part of so-called hybrid mapping approaches, which are used to guarantee real-time requirements of such applications at design time independent from dynamic workloads by a combination of static analysis and dynamic embedding.

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