Kahn Process Networks and a Reactive Extension - Lorentz Center

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32 Operational semantics Configuration B challenges models kpn rpn the hierarchy the future Configuration A transition
33 The <strong>Kahn</strong> Principle “ But hey, now we have two semantics of the model! Are they the same? ” The <strong>Kahn</strong> Principle: Any fair execution in the operational model realizes the denotational semantics, the mathematical function This provides the boundaries for realizations of KPNs challenges models kpn rpn the hierarchy the future
Page 1 and 2: Kahn Process Networks and a Reactiv
Page 3 and 4: 3 The problem: an example • Use-c
Page 5 and 6: 5 Objectives • Reliable, resource
Page 7 and 8: 7 Objectives • Reliable, resource
Page 9 and 10: 9 Scientific challenges • Reliabl
Page 11 and 12: 11 Computational models
Page 13 and 14: 13 A gaming example scene graph & p
Page 15 and 16: 15 Essential challenges predictabil
Page 17 and 18: 17 Dataflow expressiveness hierarch
Page 19 and 20: 19 Kahn Process Networks processes
Page 21 and 22: 21 Denotational semantics processes
Page 23 and 24: 23 Computing the function of a netw
Page 25 and 26: 25 U i Kleene iteration U 0 = ε U
Page 27 and 28: 27 U i Kleene iteration U 0 = ε U
Page 29 and 30: 29 Strengths & weaknesses • compo
Page 31: 31 Operational semantics operationa
Page 35 and 36: 35 A run-time environment (RTE) req
Page 37 and 38: 37 Dataflow function in a KPN actor
Page 39 and 40: 39 Dataflow function in a KPN 22 34
Page 41 and 42: 41 Synchronous DataFlow: actor firi
Page 43 and 44: 43 i ii iii iv v vi vii Simple sche
Page 45 and 46: 45 i ii iii iv v vi vii Simple sche
Page 47 and 48: 47 Reactive Process Networks [M.C.W
Page 49 and 50: 49 A gaming example challenges mode
Page 51 and 52: 51 Reactive Process Networks challe
Page 53 and 54: 53 Operational semantics challenges
Page 55 and 56: 55 1.5 Prototype implementation •
Page 57 and 58: 57 An analyzable subclass of RPN Sc
Page 59 and 60: 59 Scenario-Aware DataFlow (SADF) H
Page 61 and 62: 61 Scenario-aware performance analy
Page 63 and 64: 63 The dataflow hierarchy
Page 65 and 66: 65 Dataflow expressiveness hierarch
Page 67 and 68: 67 SDF 2 ‘equivalent’ HSDF tran
Page 69 and 70: 69 Boolean DataFlow (BDF [Buck 1993
Page 71 and 72: 71 Looking Forward
Page 73 and 74: 73 SDF3 toolkit challenges models k
Page 75: 75 Thank you ! Questions ? More inf

Kahn Process Networks and a Reactive Extension - Lorentz Center

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