Embedded System Hardware
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technische universität fakultät für informatik dortmund informatik 12 Embedded System Hardware Peter Marwedel Informatik 12 TU Dortmund Germany TU Dortmund Structure of this course New 3: Embedded clustering e g System HW d e l w 5: Scheduling, o n HW/SW-Partitioning, K 8: Testing 2: Specifications n Applications to MP- o i t Mapping a c i l p 4: Standard p A Software, Real- 7: Optimization of 6: Evaluation Time Operating Embedded Systems Systems technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 2 - TU Dortmund Embedded System Hardware Embedded system hardware is frequently used in a loop („hardware in a loop“): actuators technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 3 - TU Dortmund Many examples of such loops . Heating . Lights . Engine control . Power supply . … . Robots Heating: www.masonsplumbing.co.uk/images/heating.jpg Robot:: Courtesy and ©: H.Ulbrich, F. Pfeiffer, TU München technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 4 - TU Dortmund Sensors Processing of physical data starts with capturing this data. Sensors can be designed for virtually every physical and chemical quantity . including weight, velocity, acceleration, electrical current, voltage, temperatures etc. chemical compounds. Many physical effects used for constructing sensors. Examples: . law of induction (generation of voltages in an electric field), . light-electric effects. Huge amount of sensors designed in recent years. technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 5 - TU Dortmund Example: Acceleration Sensor Courtesy & ©: S. Bütgenbach, TU Braunschweig technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 6 - TU Dortmund Charge-coupled devices (CCD) image sensors Based on charge transfer to next pixel cell Corresponding to “bucket brigade device” (German: http://www.schulen.regensburg. de/hhgs/klassen/2001a/feuerwehr/k “Eimerkettenschaltung”) ette2.jpg technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 7 - TU Dortmund CMOS image sensors Based on standard production process for CMOS chips, allows integration with other components. technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 8 - TU Dortmund Comparison CCD/CMOS sensors CMOS: low cost devices + digital SLR cameras (due to large size, …) CCD: medium to high end non-SLR cameras Source: B. Diericks: CMOS image sensor concepts. Photonics West 2000 Short course (Web) technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 9 - TU Dortmund Example: Biometrical Sensors Example: Fingerprint sensor (© Siemens, VDE): Matrix of 256 x 256 elem. Voltage ~ distance. Resistance also computed. No fooling by photos and wax copies. Carbon dust? Integrated into ID mouse. technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 10 - TU Dortmund Artificial eyes © Dobelle Institute (was at www.dobelle.com) technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 11 - TU Dortmund Artificial eyes (2) He looks hale, hearty, and healthy — except for the wires. They run from the laptops into the signal processors, then out again and across the table and up into the air, flanking his face like curtains before disappearing into holes drilled through his skull. Since his hair is dark and the wires are black, it's hard to see © Dobelle Institute the actual points of entry. From a distance the wires look like long ponytails. technische universität fakultät für p.marwedel, Show movie from www.dobelle.com dortmund informatik informatik 12, 2008 (e.g. blind person driving a car) - 12 - TU Dortmund Other sensors . Rain sensors for wiper control („Sensors multiply like rabbits“ [ITT automotive]) . Pressure sensors . Proximity sensors . Engine control sensors . Hall effect sensors technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 13 - technische universität fakultät für informatik dortmund informatik 12 Discretization TU Dortmund Discretization of time → Ve is a mapping ℝ ℝ In this course: restriction to digital information processing; Known digital computers can only process discrete time series. Discrete time; sample and hold-devices. Ideally: width of clock pulse -> 0 → Vx is a sequence of values or a mapping ℤ ℝ technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 15 - TU Dortmund Aliasing Impossible to reconstruct fast signals after slow sampling: multiple fast signals share same sampled sequence; Example: Signal: 5.6 Hz; Sampling: 9 Hz 1.5 1 0.5 0 -0.5 -1 ~1 s -1.5 [http://www.cise.ufl.edu/~prabhat/Teaching/cis6930-f04/comp1.ppt] More info at end of chapter. technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 16 - TU Dortmund Discretization of values: A/D-converters 1. Flash A/D converter (1) Digital computers require digital form of physical values A/D-conversion; many methods with different speeds. Example: 1. Flash A/D converter: Encodes input number of most significant ‘1’ as an unsigned number, e.g. “1111” -> “100”, “0111” -> “011”, “0011” -> “010”, “0001” -> “001”, “0000” -> “000” (Priority encoder). technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 17 - TU Dortmund Discretization of values: A/D-converters 1. Flash A/D converter (2) Parallel comparison with reference voltage Speed: O(1) Hardware complexity: O(n) with n= # of distinguished voltage levels Applications: e.g. in video processing technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 18 - TU Dortmund Discretization of values 2. Successive approximation Key idea: binary search: Speed: O(ld(n)) Set MSB='1' Hardware complexity: O(ld(n)) if too large: reset MSB with n= # of distinguished Set MSB-1='1' voltage levels; if too large: reset MSB-1 slow, but high precision possible. technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 19 - TU Dortmund Successive approximation (2) V 1100 1011 Vx 1010 1000 V- t technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 20 - TU Dortmund Application areas for flash and successive approximation converters Effective number of bits at bandwidth (used in multimeters) (using single bit D/A-converters; common for high quality audio equipments) [http://www.beis.de/Elektronik/ DeltaSigma/DeltaSigma.html] (Pipelined flash converters) [Gielen et al., DAC 2003] technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 21 - TU Dortmund Quantization Noise N = (approximated - real signal) called quantization noise. Example: quantization noise for sine wave * [http://www.beis.de/Elektronik/DeltaSigma/DeltaSigma.html] technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 22 - TU Dortmund Quantization noise for audio signal e.g.: 20 log(2)=6.02 decibels effective signal voltage signal to noise ratio (SNR) [db] = 20 log effective noise voltage Signal to noise for ideal n-bit converter : n * 6.02 + 1.76 [dB] e.g. 98.1 db for 16-bit converter, ~ 160 db for 24-bit converter Additional noise for non-ideal converters Source: [http://www.beis.de/Elektronik/ DeltaSigma/DeltaSigma.html] technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 23 - technische universität fakultät für informatik dortmund informatik 12 Information Processing Peter Marwedel Informatik 12 TU Dortmund Germany TU Dortmund Embedded System Hardware Embedded system hardware is frequently used in a loop („hardware in a loop“): actuators technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 25 - TU Dortmund Processing units Need for efficiency (power + energy): Why worry about energy and power? „Power is considered as the most important constraint in embedded systems“ [in: L. Eggermont (ed): Embedded Systems Roadmap 2002, STW] Energy consumption by IT is the key concern of green computing initiatives (embedded computing leading the way) http://www.esa.int/images/earth,4.jpg technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 26 - TU Dortmund Importance of Energy Efficiency 7 0 0 2 , C E M I , s n p i a l i h M P e : D y s o e g t r u u H o C © poor design techniques IPE=Inherent power efficiency AmI=Ambient Intelligence technische universität fakultät für p.marwedel, Efficient sdoorfttmwuandre design needed, oitnhfoerrmwaitiske, the pricinefo rfmoart isk o12ft,w 2a00re8 flexibility cannot be paid. - 27 - TU Dortmund Application Specific Circuits (ASICS) or Full Custom Circuits Custom-designed circuits necessary .if ultimate speed or .energy efficiency is the goal and .large numbers can be sold. Approach suffers from .long design times, .lack of flexibility (changing standards) and .high costs (e.g. Mill. $ mask costs). technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 28 - TU Dortmund Mask cost for specialized HW becomes very expensive Trend towards implementation in Software HW synthesis not covered in this course. [http://www.molecularimprints.com/Technology/ tech_articles/MII_COO_NIST_2001.PDF9] technische universität fakultät für p.marwedel, dortmund informatik informatik 12, 2008 - 29 - TU Dortmund