Seven Challenges of Embedded Software Development
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1 Corporate Technology Seven Challenges of Embedded Software Development EC consultation meeting New Platforms addressing mixed criticalities Brussels, Feb. 3, 2012 Urs Gleim Siemens AG Corporate Technology System Architecture & Platforms Parallel Processing Systems Program System Architecture & Platforms Copyright Siemens AG All rights reserved.
2 Introduction Corporate Technology Customers Chief Technology Officer (CTO) Review innovation strategies Drive technology based synergies Secure innovation power Technology assessments Governance and guidance Sectors / Divisions Energy Healthcare Industry Infrastructure & Cities Regions Chief Technology Office (CT O) Direct support of CTO Corporate Research and Technologies (CT T) GTFs with multiple impact Pictures of the Future Accelerators Corporate Development Center (CT DC) Software development partner for the Sectors Corporate Intellectual Property and Functions (CT IP) Intellectual property Standardization and regulation Information research Corporate Technology (CT) Seite 2 Januar 2012 Urs Gleim
3 Introduction Embedded Systems in Siemens Domains Industrial control systems e.g. rolling mill Transportation systems e.g. railway, car Medical equipment e.g. magnetic resonance imaging Communication systems e.g. network switch Energy management e.g. smart meter Seite 3 Januar 2012 Urs Gleim
4 Vision Future Evolution in General Ambient Intelligence Pervasive Computing Cyber Physical Systems 2000 Embedded Systems Time Seite 4 Januar 2012 Urs Gleim
5 Vision Enabling Technologies Multicore processors will provide still increasing computing power, even in embedded environments with electric power limitations. Past (Single-Core) Today (Multi-Core) Future (Many-Core) in 10 years Increasing semiconductor integration levels provide powerful on-chip networking facilities. source: International Roadmap for Semiconductors 2009 ( Progress in wireless communication allows for flexible interconnect topologies. Hardware and software commoditization and Open Source provide powerful platforms. Seite 5 Januar 2012 Urs Gleim
6 Challenges 1. Consolidation Hardware Consolidation I/O DSP CPU GC I/O Video Multi-core reduced number of controllers and DSPs I/O CPU I/O µc ASIC DSP I/O I/O increased flexibility due to software I/O µc I/O Logic solutions Real-time system architectures ensure real-time behavior with partitioning and virtualization technologies PCI I/O I/O Video I/O Architectures for mixed critical systems separation of safety-relevant subsystems on the same processor Efficient development and evolvability of safetycritical systems (e.g., independent certification of safety-critical (software) components) Dependability in open systems Seite 6 Januar 2012 Urs Gleim
7 Challenges 2. Decentralization Decentralization e.g., HMI/SCADA and MES functionality integrated in in controller devices Consolidation Consolidation Seite 7 Januar 2012 Urs Gleim
8 Challenges 3. Heterogeneity Heterogeneous multi-/many-core architectures Utilization of special purpose cores of multicore processors (portable programming models, load balancing) Hardware accelerators Optional acceleration units (e.g., GPUs) image: TI Cloud computing Flexible deployment Scalability of resources Communication bottleneck Security and data privacy image: Strato Seite 8 Januar 2012 Urs Gleim
9 Challenges 4. Security Der digitale Erstschlag ist erfolgt. Frankfurter Allgemeine Zeitung The more complex and interconnected a system is, the bigger the number of security vulnerabilities: We have to defend against cyber-attacks. Seite 9 Januar 2012 Urs Gleim
10 Challenges 5. Energy Management Power Efficiency Mobility: Energy consumption of on-board electronics must be minimal. (public transportation, ecar) Mobile devices driven by battery or energy harvesting (e.g., healthcare in rural areas with unreliable energy supply) limited installation space in industrial devices or energy management (waste heat problem) Universal energy management architecture needed! Seite 10 Januar 2012 Urs Gleim
11 Challenges 6. Programming Models For parallel hardware architectures today's Programming Models are too complex error prone not scaling with number of processing units non-deterministic We need programming models that are suitable for the masses taking parallelism mainstream (Microsoft) development efficiency comparable to sequential software development abstraction from hardware architectures to the greatest possible extent compatibility to common programming languages (huge code base available) flat learning curve for developers Seite 11 Januar 2012 Urs Gleim
12 Challenges 7. Migration Strategies Parallel processing units enable doing more data volume increases constantly doing faster interactive work with IT systems in healthcare and industry (simulation) huge code base of sequential code to be parallelized where to start? how to parallelize? how to ensure correctness? Seite 12 Januar 2012 Urs Gleim
13 Summary The 7 Challenges of Embedded Software Development 1. Consolidation shift from HW to SW utilization of multi-/many-core systems taking into account safety and real-time requirements 2. Decentralization flexible deployment of functionality in distributed systems 3. Heterogeneity heterogeneous multi-/many-core architectures hardware accelerators cloud computing 4. Security data privacy protection against manipulation 5. Energy management power-efficient hard- and software 6. Programming models Development efficiency and future-proofness Portability, HW-independence Scalability with processing power (more cores) 7. Migration strategies utilize parallel hardware preserving existing code bases Seite 13 Januar 2012 Urs Gleim
14 Thank You! Seite 14 Januar 2012 Urs Gleim
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