Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties
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1 EMC2 Project Conference Paris, France Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties Funded by the EC under Grant Agreement Kim Grüttner (OFFIS) The CONTREX consortium (Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties)
2 2 Motivation: State-of-the-art Safety relevant system Non-Safety, performance (QoS) critical system F1 F2 F3 F4 F5 CPU Memory HW IP... CPU Memory HW IP... F1 F2 F4 F3 t F5 t d 2->3 d 4->5 Safety critical tasks Hard deadlines (e.g. d 2->3 ) Static schedule based on BCET/WCET analysis No power constraints No temperature constraints Mission critical tasks Soft deadlines (e.g. d 4->5 ) based on QoS metrics Dynamic schedule Hard power constraints (e.g. battery limited) Hard temperature constraints
3 3 Motivation: Integration on a single chip!? We aim at: - consideration of extra-functional requirements and constraints (timing, power, temperature) at design entry - representation of extra-functional properties timing power temperature in executable prototypes and - analysis of these properties under different application deployments and mappings and scheduling, power and thermal management decisions.
4 4 Outline Introduction and Motivation Project Overview CONTREX Methodology Overview Modeling of EFPs and Criticalities EFP Modeling, Simulation, and Monitoring Runtime Management Summary
5 5 Project Overview and Consortium PARTICIPANT NO. PARTICIPANT ORGANISATION NAME PART. SHORT NAME COUNTRY 1 (Coordinator) OFFIS e.v. OFFIS Germany 2 STMicroelectronics srl STM Italy 3 GMV Aerospace and Defence SA GMV Spain 4 Cobra Telematics SA Cobra Switzerland 5 EuroTech S.p.A. EUTH Italy 6 Intecs S.p.A. INTECS Italy 7 ixtronics GmbH ix Germany 8 EDALab srl EDALab Italy 9 Docea Power Docea France 10 Politecnico di Milano PoliMi Italy 11 Politecnico di Torino PoliTo Italy 12 Universidad de Cantabria UC Spain 13 Kungliga Tekniska Högskolan KTH Sweden 14 Electronic Chips & Systems design Initiative ECSI France 15 ST-POLITO Societa' consortile a r.l. ST-PoliTo Italy 16 Intel Corporation SAS Intel France Starting date: 01/10/2013 Duration in month: 36 Call identifier: FP7-ICT Website: Universities and Research Institutes Industry Small and Medium Size Enterprises Other
6 6 CONTREX Reference Architecture System Models (e.g. from 3rd party model-driven design flow) CONTREX UML/MARTE Model Legacy HW/SW (e.g. existing C-Code, VHDL, Verilog, ) Generic Task Model Generic HW Model ForSyDe Model Starting point Model capturing and (timing) analysis Analytical DSE for timing Off-Chip Network Model User SW MiddleWare (e.g. Kura) OS with RT and Resource manager Hardware Model Timing Monitor Timing Model Environment Model (functional & extra-functional) Virtual Platform Power Monitor Power Model Battery Monitor Battery Model Temp. Monitor Temp. Model Functional and extrafunctional analysis Simulative DSE for power and temp. Actual HW (e.g. Xilinx Zynq, ST inemo, ST SeCSoC) Tech. data: package desc., floorplan, technology, HW in-the-loop facilities Timing Measurement Power Measurement (Temperature Measurement) Design validation
7 7 Use-Cases and Demonstrators Avionics Telecommunication Automotive Telematics Flight Control Computer for a Remotely Piloted Aircraft Goal: Executes safety-, mission- and non-critical applications on the same multi-core execution platform. Criticalities: safety- and mission-critical Extra-functional properties: hard real-time, power, temperature, reliability Ethernet over Radio System Goal: Optimization of performance/cost characteristics of a Gbit Ethernet over radio system. Criticalities: safety-, mission-, non-critical. Extra-functional properties: real-time, power, temperature, reliability Automotive Telematics Box Goal: Move processing from local (on-board) devices into the cloud. Criticalities: mission- and non-critical. Extra-functional properties: performance, power, security, reliability
8 8 Early Modeling of EFPs and Criticalities: Avionics Motivation & CONTREX answer Design of Remote Piloted Aircraft (RPA) equipment: Partitioning in early phases, based on design expertise Resource oversizing (avoid late integration issues) Adaption to new contexts difficult Size, Power, Weight constraints System-Level Modeling and Design approach
9 9 CONTREX Eclipse Plugin
10 10 Modelling of EFPs and Criticalities EFPs and Criticalities: Fundamental and Necessary information for DSE and for efficient design of Mixed-Critical Systems Captured in UML/MARTE EFPs: At System Inputs and Outputs At Application, Platform & System Level Criticalities: Associated to Components and to EFPs and Performance requirements Novel & Minor extension of MARTE (raised to OMG)
11 11 Modelling for Design Space Exploration DSE parameters: Define Design Space Design Space Exploration for Application parameters (e.g. task periods) Platform parameters (e.g. working frequency) Performance Requirements
12 12 Use-Cases and Demonstrators Avionics Telecommunication Automotive Telematics Flight Control Computer for a Remotely Piloted Aircraft Goal: Executes safety-, mission- and non-critical applications on the same multi-core execution platform. Criticalities: safety- and mission-critical Extra-functional properties: hard real-time, power, temperature, reliability Ethernet over Radio System Goal: Optimization of performance/cost characteristics of a Gbit Ethernet over radio system. Criticalities: safety-, mission-, non-critical. Extra-functional properties: real-time, power, temperature, reliability Automotive Telematics Box Goal: Move processing from local (on-board) devices into the cloud. Criticalities: mission- and non-critical. Extra-functional properties: performance, power, security, reliability
13 13 Telecom Demonstrator The Telecom Demonstrator is based on the Point-to-Point (P2P) Ethernet over Radio Microwave Wireless System Out-Door Unit Software components developed within Intecs (except for L2Switch + Modem - FPGA) High reliability Automatic Transmit Power Control (ATPC) Timing guarantees Power, temperature, weight, and size constraints
14 14 90 VP-based EFP Modelling and Simulation Application Application Application Temperature [ o C] Zynq50 power model (PSM) Zynq platform model Zynq Component-Level Floorplan Temperature by Docea Time [s] Zynq Cadence 1 Virtual Platform Primary traces V DD (t) DD (t) C(t) C(t) Power [W] f clk (t) Functio n(t) Functioncall(t) Power mapper Total power map P tot (x,y,z Time i ) [s] Thermal model Zynq IC CPU1 package data Thermal Profiler P = f( f_clk, proc_load, axi_load, ) CPU2 GPU Stream processing Secondary traces Docea AcePlorer Temperature map θ(x,y,z i ) TOOL ANY OTHER I/O DATA I leak (t) dyn P (t) dyn dyn (t) (t) per comp. TRACE Source: Cadence
15 16 Automatic IP Integration Automatic abstraction to TLM Automatic PSM generation from power traces Automatic generation of VP component with power model
16 17 Use-Cases and Demonstrators Avionics Telecommunication Automotive Telematics Flight Control Computer for a Remotely Piloted Aircraft Goal: Executes safety-, mission- and non-critical applications on the same multi-core execution platform. Criticalities: safety- and mission-critical Extra-functional properties: hard real-time, power, temperature, reliability Ethernet over Radio System Goal: Optimization of performance/cost characteristics of a Gbit Ethernet over radio system. Criticalities: safety-, mission-, non-critical. Extra-functional properties: real-time, power, temperature, reliability Automotive Telematics Box Goal: Move processing from local (on-board) devices into the cloud. Criticalities: mission- and non-critical. Extra-functional properties: performance, power, security, reliability
17 19 Automotive Telematics Demonstrator High-end sensor node In-Field Low-cost sensor node Main ECU Telecommunication (GPS/GPRS) Data Center Remote Facilities Control Room LAN/VPN Number of occupants Self-calibration Improved crash detection Low-energy crash detection Kura Pervasive Platform MQTT Protocol Cloud infrastructure Services
18 20 Runtime Resource Management with EFP Operating condition profiles derived at design-time Decision based on three types of information Functional status Operating mode (e.g. car motion status, key on/off, ) Extra-functional status Metrics exposed by extra-functional monitoring infrastructure Power sensor, temperature sensor, battery status, Design-time configurations Based on developer knowledge and simulation results System characterisation framework for hardware and software Battery models for easy integration in EFP monitoring framework Based on SystemC and SystemC AMS
19 21 Summary and Conclusion Tools for power and temperature specification, analysis and management in combined multi-core real-time and high-performance embedded systems UML/MARTE modelling and analysis framework for extra-functional properties Power and temperature aware simulation / virtual platform Run-Time resource manager A B Enables energy efficient and cost-effective design of highly integrated systems Source: Trenz Electronics
20 22 Thank you very much for your attention! Find more information at: Funded by the EC under Grant Agreement
Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties. Final Publishable Summary Report
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