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Multicore Architecture for Critical Real-Time Embedded Systems

Multicore Architecture for Critical Real-Time Embedded Systems. Marco Paolieri, Eduardo Quiñones, Francisco J. Cazorla, Mateo Valero {marco.paolieri, eduardo.quinones, francisco.cazorla, mateo.valero}@bsc.es. Multicores in CRTEs:. Critical Real-Time Embedded Systems

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Multicore Architecture for Critical Real-Time Embedded Systems

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  1. Multicore Architecture for Critical Real-Time Embedded Systems Marco Paolieri, Eduardo Quiñones, Francisco J. Cazorla, Mateo Valero {marco.paolieri, eduardo.quinones, francisco.cazorla, mateo.valero}@bsc.es Multicores in CRTEs: • Critical Real-Time Embedded Systems • (CRTESs) are in everyday life • CRTESs require time correctness • Tasks must finishbefore their deadline • In safety-critical real-time embedded • systems missing a deadline can have • catastrophic consequences! • CRTESs require higher performance • than what provided by current • embedded processors • Our real-time analyzable CMP • Our real-time analyzable CMP architecture • Guarantees by design that the maximum delay a request • accessing a hardware shared resource may suffer due to inter- • task interferences has an Upper Bound Delay (UBD) • On top of it, we introduce an execution mode (i.e. WCET • Computation Mode) that allows computing a WCET estimation of • HRT artificially delaying every request to a shared resource by UBD. • The processor also implements a normalexecution mode where no • additional delay is introduced. • The WCET Computation Mode has been applied to 2 shared resources: • On-chip shared bus • DDRx SDRAM Memory Controller • Cache partitioning is used to prevent L2 interferences among different • HRT tasks: bankization • DDRx SDRAM Memory Systems: a Worst-Case Execution Time Perspective • Memory System: • The resource with the highest effect on WCET is the memory controller • The time it takes a memory request to be processed depends on the history of requests • We defined an analytical model to compute the upper • bound delay (UBD) that a mem. request can suffer due to inter • task memory interferences coming from other co-running tasks. • Based on the generic timing constraints of DRAM memory devices and it allows selecting the device that leads to the lowest WCET estimation • We present a Generic Analyzable Memory Controller • (GAMC) for hard real-time CMPs : • Provides a predictable memory access time • Allows the computation of tight WCET estimations • Based on our analytical model • Implements extra hardware support to further reduce UBD • Deals with refresh operations such that their effect is • safely taken into account in the WCET analysis Results with a real case study: Honeywell collision avoidance application HON application running with 1 HRT task PR_MC: CMP with a private memory controller per core MOET: Maximum Observed Execution Time Baseline: WCET for the HRT task when it runs in - isolation (full cache), - private mem. controller - without inter-task interferences HON application running with 3 HRT tasks - The effect of the memory controller is high -Tight estima-tions in average: 20% higher than MOET for HON using DDR2-800C We have proposed a CMP architecture that is time analyzable and provides high performance This work has been supported by the Ministry of Science and Technology of Spain under contract TIN-2007-60625, by the HiPEAC European Network of Excellence and by the MERASA STREP-FP7 European Project under the grant agreement number 216415. Marco Paolieri is supported by the Catalan Ministry for Innovation, Universities and Enterprise of the Catalan Government and European Social Funds. Eduardo Quiñones is supported by Juan de la Cierva postdoctoral contract from the Ministry of Education and Science (MEC), Spain.

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