Model-Based Design for Embedded Systems- P26 ppt

Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 726 2009-10-1 726 Index specialization discrete functional category, 507 hybrid category, 509–510 multi-viewpoint composition, 512–515 safety/probabilistic categories, 510–512 semantic atoms, 507 system architecture, 512 timed category, 507–509 wrapper mechanism, 512 Hierarchical event streams (HESs) inner and output event streams, 71–73 structure, 71 system analysis, 70–71 HRC, see Heterogeneous rich component (HRC) state machines Hybrid approach advantages and disadvantages, 35–36 basic block pipeline modeling, 40–43 principles, 39 static cycle calculation, 40 cycle prediction, dynamic correction branch prediction, 43 cache analysis blocks, 44 cache model, 44 cycle calculation code, 45 instruction cache, 43 objectives, 35 software tasks, 46–47 SystemC code annotation, 38–40 task switches, 46 WCET/BCET value, back-annotation advantages, 38 architecture, 36–37 instruction set, 37–38 Hybrid automata exhaustive verification abstraction, 403–404 autonomous linear systems, 398 finite syntactic representation, 397–398 linear inequalities, 397 linear systems, 398–401 nonlinear systems, 401–403 nontrivial differential equations, 396–397 piecewise constant derivatives (PCD), 396 time steps, 398 model-based design, 383–384 modeling discrete dynamics, 389–390 Lipschitz continuous, 390 non-determinism, 391 trajectories, 390–391 rapidly-exploring random trees (RRTs) algorithm, 408–409 hybrid distance, 410–411 iterations, 409–410 simulations, 409 test generation algorithm, steps, 425 cases and executions, 423–424 continuous inputs, 422 coverage-guided sampling, 425–426 discrete transitions, 422–423 state coverage strategies, 421–422 test coverage, 424–425 testing, 411–412 I IBIS, see Interconnection bus for integrated sensors ICAP, see Internal configuration access port IContinu, see Continuous domain interface, model IDiscrete, see Discrete domain interface, model Inertial measurement unit (IMU), 698, 702, 703, 716, 717 InitializeTA method, 469, 471 Input/output buffer (IOB), 368 Integrated multi-technology systems abstraction levels, 608, 609 application, 622–631 CMOS transistor, 603–604 design productivity gap, 606 ENIAC, 604–605 heterogeneous design methods, 639–640 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 727 2009-10-1 Index 727 integrated optical interconnect delay analysis, 632–634 gate area analysis, 632, 633 link specification set, 631 optical point-to-point link synthesis, 623, 626–630 performance metrics and specification sets, 630–631 power analysis, 634–638 simulation and synthesis, 622–623, 624–625 simulation conditions, 632 synthesis procedures, 631 ITRS and design technology, 606–607 Rune II project abstraction levels, 612–618 design technology, 608, 610 goals, 610–611 posteriori evaluation, 612 priori generation, 612 SoC/SiP design flow, 610–611 system-level and physical-level phases, 611–612 UML/XML implementation, 618–622 several economic sectors, 604 silicon and system complexity, 604, 606 systems on chip (SoC), 603–604 Integrated optical interconnect delay analysis, 632–634, 635 gate area analysis, 632, 633 link specification set, 631 optical point-to-point link synthesis bit error rate (BER), 629 classes-definition, 626, 628 CMOS circuit, 623, 626 Morikuni formula, 627, 629 optical link sizing method, 626–627, 629 photonic devices, 630 physical implementation, 623, 627 scenarios, 628 schematic approach, 626 transistor-level synthesis method, 626–627 performance metrics and specification sets, 630–631 power analysis BPT, 634–636 link sizing method, 634 power vs. interconnect length, 634, 636 static and dynamic power, 637–638 total power vs. interconnect length, 637 simulation and synthesis functional model, 622–623 optical device parameters, 623, 626 structural model, 622–623 UML class diagram, 623–625 Verilog-AMS, 623 simulation conditions, 632 synthesis procedures, 631 Interconnection bus for integrated sensors (IBIS) communications, 699 drivers, 708–711 sensors, 714–715 structure, 711, 714 Internal configuration access port (ICAP), 358, 370–372 International technology roadmap for semiconductors (ITRS), 520 Inverse discrete cosine transformation (IDCT) accelerator address map and interfacing code, 222–223 interfacing code and interrupt handler code, 223–224 macroblock decoding tasks, 221–222 types, 222 J Just-in-time (JIT) compilation, 31 L Linear electrical networks (LEN), 588–589 Linear multistep (LMS) methods, 575 Linear systems, hybrid automata autonomous, 398 convex polyhedron, 399 ellipsoids, 400 Minkowski sum, 400–401 reachability technique, 398–399 support functions, 399 zonotopes, 401 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 728 2009-10-1 728 Index Linear temporal logic (LTL), 529 Linux EDK designs design constraints, 361–362 device trees, 362–363 managing partial reconfiguration bitstreams, 372 ICAP device, 370 reconfiguration process, 371 LOC, see Logic of constraints Logic of constraints (LOC) formula, 276–277 Lookup tables (LUTs), 355 Lower event-arrival function, η − ,61 M MATLAB R  , 22, 575 Memory-aware algorithms, 407 Message-passing interface (MPI), 208 Meta-variables, 99 METRO II design environment academic approaches BIP framework, 299–300 ForSyDe model, 298 FunState, 300 MILAN, 296 MoC/domains, 299 model-integrated computing (MIC), 295–296 Ptolemy II and SystemC-H, 297 design elements adaptors, 284 annotators and schedulers, 283 components, 280–282 constraint solvers, 282 mappers, 283–284 overview, 281 ports, 282 implementation, 280 industrial approaches, 294–295 intelligent buildings electronic control units (ECUs), 315 function model and OpenModelica, 314–315 goals, 313 room temperature control system, 313–314 origin, 292–293 overview behavior-performance orthogonalization, 278–279 heterogeneous IP import, 278 mapping specification, 279 semantics mapping, 287–292 required/provided ports, 287 three-phase execution, 285–287 universal mobile telecommunications system (UMTS) architectural modeling, 304–306 functional modeling, 301–303 mapped system, 306 results, 306–312 METROPOLIS design environment METROPOLIS meta-model (MMM) architecture modeling, 269–271 function modeling, 268–269 mapping, 271–273 recursive paradigm, platforms, 273–275 overview design activities, 267 syntactic and semantic mechanisms, 267–268 tools formal property verification, 276 LOC-monitor technique, 276–277 quasi-static scheduling (QSS), 277 simulation, 275–276 Micro-electrical-mechanical (MEM) systems 4f optoelectronic link, 666–667 BER vs. frequency, 668–669 Chatoyant analysis, 667–668 CMOS drivers, 668 GLV system, 674–675 grating light valve (GLV), 674–679 insertion and crosstalk vs. mechanical tolerancing, 668–669 optical beam steering/alignment system, 668–674 vertical cavity surface emitting laser (VCSEL), 667–668 Micro-elevator by self assembly (MESA) structure, 668–670 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 729 2009-10-1 Index 729 Microelectromechanical systems (MEMS) design methodology, 700–702 VHDL-AMS, 697–698 Microinstrument implementation, see Smart sensors modeling Mixed continuous and discrete systems abstract semantics, 561 actor abstract semantics communication operations, 565 postfire methods, 466, 564–465 prefire and fire, 564–465 Ptolemy II models, 564 setup, 564 Simulink S-function interface, 563–564 wrapup, 564 actor-oriented models abstract syntax, 562 atomic actors, 562 communication, 562–563 composite actor and hierarchical abstraction, 561–562 hierarchical abstraction, 562 priori configuration, 561–562 continuous-time (CT) dynamics ContinuousStepSizeController interface, 576 Euler methods, 575 first-order differential equations, 573 MATLAB R  , 575 opaque composite actor, 576, 577 ordinary differential equations (ODEs), 573 Runge-Kutta (RK) methods, 574–575 third-order nonlinear differential equation, 573–574 discrete-event (DE) systems approaches, 568–569 event queue, 571 functions, 570 mixed DE and SR model, 572–573 modal model, 573 setup phase/postfire method, 570–571 globally asynchronous/locally synchronous, 561 heterogeneous systems, 560 models of computation (MoCs), 560–561 software implementation, 576–578 synchronous/reactive models CountDown actor, 568 feedback system, 566 multiclock SR model, 568, 569 postfire, prefire and fire, 567 synchronous languages, 567 Mobile robots, sensor networks bus communication, 164 complete model, 165–167 evaluation, 167–168 hardware models, 161–163 physical scenario, 161 radio communication, 164–165 simulation model, 160–161 software components, 160 Model integrated computing (MIC), 295–296, 464, 465, 473 Modeling and analysis framework computation model execution traces, 132 Huge State Space, 133–134 hyper-periods, 133 task characterization, 131 motivation best-case and worst-case execution time, 124–125 cross-layer analysis, 124 multiprocessing timing anomaly, 124–125 MoVES analysis framework nondeterministic execution times, 140 overview, 122–123 simple multicore embedded system, 136–137 smart phones, 137–140 stopwatch model, 140–141 timed-automata model, 134 UPPAAL models operating models, 123 support, 135–136 multiprocessor system-on-chip (MPSoC), 121 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 730 2009-10-1 730 Index system-level models application model, 126 execution platform model, 127–129 illustration, 126 memory and power model, 129–130 task mapping, 129 Models of computation (MoC), 522, 560–561 Modified nodal analysis (MNA), 650–652 Modular performance analysis, real-time calculus characteristics, 17 component model, 14–15 greedy shaper component (GSC), 16 modeling scheduling policies, 18 MPA framework, abstract components, 15–16 system performance model, 16–17 transfer functions, 15–16 variability characterization curves (VCCs) arrival and service curves, 13–14 compact representation, 19–22 MONTIUM system-on-chip average power consumption, 338 design methodology, 335–336 heterogeneous, 336–338 partial dynamic reconfiguration, 339 reconfigurable processing core communication and configuration unit (CCU), 333–334 tile processor (TP), 334–335 reference locality, 338–339 MoVES analysis framework nondeterministic execution times, 140 overview, 122–123 simple multicore embedded system, 136–137 smart phones, 137–140 stopwatch model, 140–141 timed-automata model, 134 UPPAAL models operating models, 123 support, 135–136 MPEG-2 video decoding tasks, 7 MPSoC platform mapping tools 3G application mapping experiments block diagram, 198 load variance (LV) statistics, 200–201 manual and static mapping, 199 maximal communication (MC) statistics, 202 maximal load (ML) statistics, 201 total communication (TC) statistics, 200–201 versions, 199 causes, 180 MultiFlex mapping technology developments, 186 iterative mapping flow, 186–187 streaming programming model, 187–188 user-defined parallel applications, 185 MultiFlex streaming mapping flow abstraction levels, 189–190 application constraints, 191 functional capture, 190–191 high-level platform specification, 192 intermediate format, 192 model assumptions and distinctive features, 192–194 MultiFlex streaming mapping tools component back-end compilation, 197 MpAssign tool, 194–195 MpCompose tool, 195–197 runtime support components, 197–198 parallel multiprocessor characteristics heterogeneous composition, PE types, 185 RISC-style processors, 184 platform programming models advantages and drawbacks, 182–184 classes, 182 explicit capture of parallelism, 184 refinement and simulation, 202–203 MPSoCs, see Multiprocessor system-on-chip Multi-domain systems on chips (MDSoCs) Chatoyant multi-domain simulation, 646–679 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 731 2009-10-1 Index 731 HDL co-simulation environment, 680–689 system simulation, 644–645 Multi-viewpoint state machines components and contracts assumptions, 491 canonical form, 490, 492 implementation, 490 parallel composition, 491 synchronization, 492–495 contract-based specification, 489 extended state machines (ESMs) continuous dynamics, 495–496 definition, 496–497 events and interactions, 495–496 input and outputs, 499 macrostates/locations, 501 openness, 500–501 product, 498 projection, 497–498 receptiveness, 499–500 runs, 497 union/disjunction, 498–499 variables and ports, 495–496 heterogeneous rich component (HRC) definition, 501–503 labeling functions, 503–506 specialization, 507–515 original equipment manufacturers (OEM), 488 system design, 489 Multicore architectures advantages, 325–326 Aspex Linedancer ASProCore architecture, 340–341 content addressable memory (CAM), 339–340 design methodology, 342 hardware architecture, 341–342, 343 scalable architecture, 340–341 SIMD architectures, 340 classification architectures, 332–333 building blocks, 332 flexibility vs. performance, 330–331 interconnect structures, 332 multiprocessor system-on-chip (MPSoC), 331–332 design criteria dependability, 330 energy efficiency, 328–329 predictable and composable, 327–328 programmability, 329–330 heterogenous SoC template, 325–326, 327 MONTIUM/ANNABELLE system-on-chip average power consumption, 338 design methodology, 335–336 heterogeneous, 336–338 partial dynamic reconfiguration, 339 reconfigurable processing core, 333–335 reference locality, 338–339 PACT-XPP architecture, 343–344 design methodology, 344–345 streaming applications, 324–325 Tilera processor design methodology, 346 features, 346 iMesh on-chip network, 346 tile64, 345 MultiFlex platform mapping technology developments, 186 iterative mapping flow, 186–187 streaming programming model, 187–188 user-defined parallel applications, 185 MultiFlex streaming mapping flow abstraction levels, 189–190 application constraints, 191 functional capture, 190–191 high-level platform specification, 192 intermediate format, 192 model assumptions and distinctive features, 192–194 stages, 188 MultiFlex streaming mapping tools component back-end compilation, 197 MpAssign tool, 194–195 MpCompose tool, 195–197 runtime support components, 197–198 MultiFlex toolset, 186–187 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 732 2009-10-1 732 Index Multiprocessor system-on-chip (MPSoC), 331–332 abstraction levels system architecture level, 242–243 transaction accurate architecture level, 244–245 virtual architecture level, 243 virtual prototype level, 245 aggregate busy time, 68–69 event models, 65–66 formal performance analysis deriving aggregate busy time, 68–69 deriving output event models, 65–66 multicore component, 64 response time analysis, 66–68 hardware architecture, 235 hardware–software interface, 236–237 message passing organization, 234 modeling and analysis framework, 121 modern hardware systems, 121 performance analysis loop, 63 programming steps, 245–248 aspects, 245 description, 246–247 illustration, 246 response time analysis, 66–68 shared memory organization, 234 Simulink R  - and SystemC-based programming, 245–248 software architecture, 235–236 software development, 211–212 tasks, 64–65 N Negation as failure (NAF), 448–449 Non-deterministic finite automaton (NFA), 450 Noncausal methods, continuous execution model, 526 ns-2 discrete-event simulator, 148 O Open SystemC initiative (OSCI), 587 Optical beam steering/alignment system Chatoyant, 670–671 MESA structures, 668–670 scanning mirror system, 669–670 scanning waveforms and diamond pattern, 670, 672 scratch drive actuator (SDA), 669 self-aligning system, 672–674 Ordinary differential equations (ODEs), 573, 652, 654 Original equipment manufacturers (OEM), 488 P PACT-XPP, 343–345 Parallel multiprocessor, SoC platform heterogeneous composition, PE types, 185 RISC-style processors, 184 PBD, see Platform-based design PeaCE model, 220 Picture-in-picture (PiP) application, 7–9 Piecewise linear (PWL), 649 Platform-based design (PBD) and frameworks design challenge, 261 METRO II design environment academic approaches, 295–300 design elements, 279–284 industrial approaches, 294–295 intelligent buildings, 313–315 origin, 292–293 overview, 278–279 semantics, 284–292 universal mobile telecommunications system (UMTS), 301–313 METROPOLIS design environment METROPOLIS meta-model (MMM), 268–275 overview, 267–268 tools, 275–277 principles definition, 262 design parameters, 266 flow concept, 263–264 fractal nature, 264–266 productivity, 262 system-level design (SLD), 260 Predictive technology model (PTM), 630–631 Preemption, 101–102 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 733 2009-10-1 Index 733 PriorityTA method, 470 Programming models, MPSoC H.264 encoder application and architecture specification, 248–249 system architecture level, 249–250 transaction accurate architecture level, 253–254 virtual architecture level, 250–252 virtual prototype level, 254–256 hardware architecture, 235 hardware–software interface, 236–237 heterogeneous design flow, 232–233 processing units and communication schemes, 231 requirements, 232 software development platform, 232–233 Simulink R  - and SystemC-based programming abstraction levels, 241–245 MPSoC programming steps, 245–248 SoC design models, 238 primitives, 239 programming levels, 238 software architecture, 235–236 Proportional/integral/derivative (PID) controller, 462 Protothreads, 163 Ptolemy II design environment, 297 Pure scheduling simulator, 148 Q Quality of service (QoS), 513–515 Quasi-static scheduling (QSS), 277 R Rapidly-exploring random trees (RRTs) algorithm, 408–409 hybrid distance, 410–411 iterations, 409–410 simulations, 409 Ray tracing techniques, 659 Rayleigh–Sommerfeld formulation, 663, 666 RBbots hardware architecture, 163 I 2 C bus, 164 types, 161–162 Retargetable, embedded software design methodology CIC programming model architecture information file, 214–215 description, 209 program generation, 211 task code, 212–214 CIC translator generic API translation, 216–217 HW-interfacing code generation, 217 OpenMP translator, 217–218 scheduling code generation, 218–220 workflow, 215–216 experiments architecture, 220 design space exploration, 220–221 HW-interfacing code generation, 221–223 productivity analysis, 224–227 scheduling code generation, 223–224 MPSoC software development, 211–212 parallel programming models characteristics, 210 design productivity, 208–209 message-passing model, 208 MultiFlex MPSoC programming environment, 209 shared address-space model, 208 SW architecture, 210 task-transaction-level (TTL) interface, 210 Rich component models, see Multi-viewpoint state machines Robustness data quality, 80 dynamic design robustness (DDR), 81–82 evaluation and optimization, 80–81 fault tolerance, 79 maintainability and extensibility, 80 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 734 2009-10-1 734 Index reusability and modularity, 80 static design robustness (SDR), 81 RTC Toolbox MATLAB libraries, 23 software architecture, 22 RunCS_TA method, 472 Rune II project abstraction levels AMS/MT hierarchy, 612–613, 614–615, 616 evaluation method, 617–618 functional level, 613–614 IP design process, 615, 617 modeling and structural hierarchies, 613 single-level loop, 618 synthesis method, 617 design technology, 608, 610 goals, 610–611 posteriori evaluation, 612 priori generation, 612 SoC/SiP design flow, 610–611 system-level and physical-level phases, 611–612 UML/XML implementation AMS/MT IP blocks, 618–620, 622 class diagram, 620–621 GUI flowchart, 618–619 object management group (OMG), 618–619 Runge-Kutta (RK) methods, 574–575 S Scalar diffractive models computation time vs.accuracy, 662–663 Helmholtz equation, 661 Maxwell equations, 659–660 modeling technique, 660 Rayleigh–Sommerfeld diffractive formulation, 661–662 valid propagation, 661–662 wave equation, 661 Scenario-aware analysis added and completed task, 74 compositional methodology, 75–76 echo effect, 74–75 unchanged task, 74 Schedulability analysis, UPPAAL attributes, 100 framework model abstract task and resource models, 102–103 data structures, 103–104 resource template, 107–109 scheduling policies, 109–112 task template, 104–107 instantiation schedulability problem, 114–115 schedulability query, 113 modeling language features and stopwatches, 99 timed computation tree logic (TCTL), 99 train-gate model, 96–98 real-time model checking, 94 resources, 101–102 single-processor systems, 94 task dependencies, 100–101 time-triggered architecture (TTA), 94 Scratch drive actuator (SDA), 669 SDR, see Static design robustness Self-reconfiguring platform (SRP), 358–359, 360, 361, 363, 364, 368, 372 Sensitivity analysis approach characterization, 76–77 performance slack modifications, 77 robustness optimization, 78 system dimensioning, 78 Shared address-space model, 208 SimEvents R  2 toolbox, 149 Simics system, 149 Simple multicore embedded system, 136–137 Simulation interfaces applications co-simulation framework, 549 distribution, 538–539 formalization and verification, 539–546 internal architecture, definition, 546–549 library elements, 550 methodology co-simulation framework, 530–531 CTL and LTL, 529 Nicolescu/Model-Based Design for Embedded Systems 67842_C022 Finals Page 735 2009-10-1 Index 735 distribution, 528 formalization, 529 internal architecture, 530 library elements, 531 verification, 528–529 Simulation-based approaches, 521–522 Simulink R  model, mobile robots, 158, 167 Simulink R  - and SystemC-based programming environment MPSoc abstraction levels system architecture level, 242–243 transaction accurate architecture level, 244–245 virtual architecture level, 243 virtual prototype level, 245 MPSoC programming steps aspects, 245 description, 246–247 illustration, 246 Smart optical pixel transceiver (SPOT), 685–687, 688–689 Smart phones, 137–140 Smart sensors modeling accelerometer description, 704–706 IBIS drivers, 708, 710–711, 714 interface, 711 output circuitry, 706–708, 709, 710, 711, 712, 713, 714 application, 702–704 distributed architecture, 698–700 gyroscope, 711, 713 microelectromechanical systems (MEMS), 697–698 design methodology, 700–702 simulation and validation, 716, 717 gyroscope, 715–717 IBIS drivers, 714–715 VHDL-AMS models, 698 SoC, see System-on-chip Software defined radio (SDR), 597–598 Static data flow (SDF), 646 Static design robustness (SDR), 81 Stochastic automata networks (SAN), 30 Stopwatch model, 99, 140–141 Streaming applications characteristics, 324–325 dependability, 330 energy efficiency, 328–329 predictable and composable, 327–328 programmability, 329–330 Streaming programming model advantages and drawbacks, 182–183 data-dominated applications, 187 MultiFlex tool flow, 189 objectives, 188 Structural semantics specification, DSMLs adding domain constraints derived functions, 456–458 NFA abstraction, 455 compositions and domains includes operator, 458–459 operators, 458–459 properties, 460–461 pseudo-coproduct operator, 460 pseudo-product operator, 459–460 renaming operator, 459 domains and models finite state machine (FSM), 449–450 non-deterministic finite automaton (NFA), 450 types, 451 expressive constraints definitions, 447 domain constraints, 449 expressions, 447 LP approaches, 446–447 negation as failure (NAF), 448–449 queries, 449 semantics, 448 logic programming (LP), 444–445 metamodeling language, 443 model contents boolean composition, 454–455 negation as failure, 452–454 queries, 451–452 non-recursive and stratified, 445 operations, 444 signatures and terms, 445 syntax, 444 terms with types, 445–446 Symmetric multiprocessor (SMP) model, 182–183 System under test (SUT), 413–414, 420–421 [...]...736 System-in-FPGA (SIF) architecture, 352 System-level models application model, 126 execution platform model, 127–129 illustration, 126 memory and power model, 129–130 performance analysis analytic techniques, 6 design space exploration cycle, 4–5 distributed embedded platforms, 4 picture-in-picture (PiP) application, 7–9 simulation-based methods, 5–6 task mapping, 129 System-on-chip... consumption, 338 design methodology, 335–336 heterogeneous, 336–338 partial dynamic reconfiguration, 339 reconfigurable processing core, 333–335 reference locality, 338–339 MPSoC programming models models, 238 primitives, 239 programming levels, 238 multiprocessor system, 331–333 platform progrmming models advantages and drawbacks, 182–184 classes, 182 explicit capture of parallelism, 184 SiP design process,... GReAT transformation, 477–478, 479 logical execution time (LET), 474 MetaGME metamodels, 475 model, 479–480 pseudo-code, 479–480 timed automaton (TA), 476–477 transformation steps, 476 TinyGALS, 241 Transaction-level modeling (TLM) abstraction levels, 32 accuracy and speed trade-off communication refinement, 33–34 computation refinement, 34 TrueTime advantages, 148 closed-loop control performance, 147... levels, 32 accuracy and speed trade-off, 33–34 SystemC-H design environment, 297 Systems in package (SiP), 604, 606, 610–611 T Tagged signal model (TSM), 463 Task transaction level interface (TTL) APIs, abstraction levels, 240 HW–SW component integration, 210 stream processing applications, 239 TDL, see Timing definition language (TDL) Tilera processor design methodology, 347 features, 346 iMesh on-chip... discrete state-transition system, 393 properties type, 391–392 region graph abstraction, 393 state-explosion, 394 time-abstract quotient, 394–395 timed Büchi automata (TBA), 395–396 zone graph, 395 model-based design, 383–384 modeling Alur–Dill model, 387–388 clock constraints, 388 discrete- vs dense-time debate, 388 finite-state automaton, 386 operational semantics, 386–387 rendez-vous type, 388–389 timed... architecture level, 591–592 cases, 591–592 code, 598–599 methodology-specific support, 595–596 Index open SystemC initiative (OSCI), 588–591 refinement activities, 592, 594 SystemC-based performance analysis distributed embedded systems analytical approaches, 29–30 hybrid approaches, 31–32 simulative approaches, 30–31 experimental results, 47–50 hybrid approach advantages and disadvantages, 35–36 basic... definition language (TDL) Tilera processor design methodology, 347 features, 346 iMesh on-chip network, 346 tile64, 345 Time-triggered architecture (TTA), 94 Time-triggered networked control system control performance and network schedule, 170 stand-alone network interface blocks, 169 Index Timed automata composition, 470–473 continuous/discrete co-simulation tools, 535–536 model checking, exhaustive verification... PI-controller, 154 initialization script and code functions, 153 scheduling algorithms, 153 library, 147 limitations and extensions execution times, 171–172 higher-layer protocols, 173 simulation platform, 173 single-core assumption, 170–171 single-thread execution, 172–173 mobile robots in sensor networks bus communication, 164 complete model, 165–167 evaluation, 167–168 hardware models, 161–163 physical... discrete-event simulator, 148 pure scheduling simulator, 148 sampled control theory, 146 SimEvents R 2 toolbox, 149 Simics system, 149 simulation, 146 time-triggered networked control system control performance and network schedule, 170 stand-alone network interface blocks, 169 timing and execution models implementation, 150 kernel simulators, 151–152 network simulators, 152 TTA, see Time-triggered architecture... 710–711, 714 interface, 711 output circuitry, 706–708, 709, 710, 711, 712, 713, 714 application, 702–704 distributed architecture, 698–700 gyroscope, 711, 713 microelectromechanical systems (MEMS), 697–698 design methodology, 700–702 models, 698 simulation and validation, 716, 717 gyroscope, 715–717 IBIS drivers, 714–715 Virtex 4 FX 100 device, 372–373, 374 X Xilinx MPMC, 367 Z Zero-crossing callback function, . 609 application, 622–631 CMOS transistor, 603–604 design productivity gap, 606 ENIAC, 604–605 heterogeneous design methods, 639–640 Nicolescu /Model-Based Design for Embedded Systems 67842_C022 Finals Page. 399 zonotopes, 401 Nicolescu /Model-Based Design for Embedded Systems 67842_C022 Finals Page 728 2009-10-1 728 Index Linear temporal logic (LTL), 529 Linux EDK designs design constraints, 361–362 device. (MESA) structure, 668–670 Nicolescu /Model-Based Design for Embedded Systems 67842_C022 Finals Page 729 2009-10-1 Index 729 Microelectromechanical systems (MEMS) design methodology, 700–702 VHDL-AMS,