Behind Today s Trends The Technologies Driving Change. Jim Tung MathWorks Fellow 9 July 2014
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1 Behind Today s Trends The Technologies Driving Change Jim Tung MathWorks Fellow 9 July 2014
2 Industry 4.0 Big Data Wearable Tech Cloud Computing Internet of Things MOOC
3 Trends from 2009 Social Computing Smart Phones Complex Event Processing Software as a Service Executable Internet
4 Google Trends over Time Big Data MOOC Software as a Service Social Computing
5 TRENDS COME AND GO
6 R&D Expenditure (% of GDP) Engineers and Scientists in R&D (per million people) 3.0% 4, % 4,000 3, % 3, % 2,500 2, % 0.5% Germany China 1,500 1, % 0
7 Long-Term Transformations Driving Changes in Markets and Technical Applications Spreading into every industry Complexifying systems Speeding up development cycles Intensifying applied research Challenging the education systems to produce those skillsets Our strategy, based on what those transformations imply for the long term
8 Algorithms in everything Hardware in specialized form factors Connected chips, devices & systems People computing anywhere
9 ALGORITHMS IN EVERYTHING
10 Intel predicts 170 billion transistors per person 200x IN 10 YEARS in the world by 2015 Transistors Worldwide
11 % Compute Kalman Gain: W = P*M'*inv(M*P*M'+ R); TEXTUAL & % Update estimate xhat = xhat + W*residual; % Update Covariance Matrix P = (eye(4)-w*m)*p*(eye(4)-w*m)' + W*R*W'; GRAPHICAL
12 Simulink Stateflow % Predicted state and covariance x_prd = A * x_est; p_prd = A * p_est * A' + Q; % Estimation S = H * p_prd' * H' + R; B = H * p_prd'; klm_gain = (S \ B)'; % Estimated state and covariance x_est = x_prd + klm_gain * (z - H * x_prd); p_est = p_prd - klm_gain * H * p_prd; % Compute the estimated measurements y(:,i) = H * x_est; MATLAB
13 Physical Modeling Computer Vision and Image Processing Digital Signal Processing Data Analysis Computational Finance Large Collection of Function Libraries Mathematical Modeling Communications Control Systems
14 NEW in Release 2014a LTE System Toolbox Golden reference End-to-end link-level simulation Signal generation and analysis Transmitter Test Waveform Generation Signal information recovery
15 NEW in Release 2013b MATLAB System block Incorporate MATLAB System objects into a Simulink model Simplify the expression and implementation of algorithms for streaming data Applications such as audio enhancement, wireless processing, object tracking and radar beamforming
16 Signal processing algorithm development Basic math Advanced digital signal processing DSP System Toolbox Rapid iteration for development and testing Growing library of algorithms
17 APPS
18 NEW in Release 2014a Control System Tuner App Tune fixed-structure controllers in Simulink Specify blocks to tune Add tuning goals Visualize tuning results Update the tuned Simulink blocks from app
19 User-Created Apps
20 User-Created Apps
21 ALGORITHMS IN EVERYTHING Unified textual & graphical programming Portfolio of libraries Apps and resources on MATLAB Central
22 HARDWARE IN SPECIALIZED FORM FACTORS
23 RUN YOUR ALGORITHM
24 Power plants 100s Cars 1,000,000s Planes 1,000s
25 Real-Time Test System USB Plug-In Device HIL Simulator Custom ASIC Microcontroller CPU-FPGA platforms Microprocessor
26 ExploreToday Customer Talk Modellbasierte Entwicklung eingebetteter Systeme für AUTOSAR mit der MathWorks-Toolkette Dr. David Seider, Validas
27 NEW in Release 2014a Simulink Real-Time Build, run, and test real-time applications Simulink Real-Time Explorer Real-time simulation and testing DSP and vision system prototyping HIL simulation Designed for a turnkey experience
28 NEW in Release 2014a Simulink Real-Time Build, run, and test real-time applications Simulink Real-Time Explorer ExploreToday Track 2 Model-Based Design, Verifikation, Validierung und Test Real-time simulation and testing DSP and vision system prototyping HIL simulation Designed for a turnkey experience
29 with Model-Based Design and rapid real-time prototyping, we maintain the product development pace that our business demands. Run algorithms on real-time hardware for testing and verification Simulink Real-Time Release 2014a Design iteration and testing in minutes
30 The Rise of Low-Cost Hardware for the Masses Arduino 300,000+ commercially produced Prices ~$30 Raspberry Pi 2.5+ million shipped $35 LEGO Mindstorms EV3 $350
31 Low-Cost Hardware Same board different approaches TETHERED Write code and communicate with the board
32 Low-Cost Hardware Same board different approaches EMBEDDED Develop a model and program the board
33 MathWorks.com/hardware NEW in Release 2014a LEGO MINDSTORMS EV3 Hardware support packages Get connected and running quickly 150 packages today, for Arduino, RaspPi, iphone, webcams, Kinect, and more Samsung Galaxy S4
34 MathWorks.com/hardware NEW in Release 2014a LEGO MINDSTORMS EV3 Hardware support packages Get connected and running quickly 150 packages today, for Arduino, RaspPi, iphone, webcams, Kinect, and more ExploreToday Track 3 MATLAB und Simulink in Forschung und Lehre Samsung Galaxy S4
35 Magnus Egerstedt Khepera 3 MATLAB Simulation
36 HARDWARE IN SPECIALIZED FORM FACTORS Code generation for prototyping and embedded Run your algorithms directly on real-time hardware Connecting to low-cost hardware for the masses
37 CONNECTED CHIPS, DEVICES, & SYSTEMS
38 Internet of Things THINGS 50+ billion Thing connectivity People connectivity via mobile devices PEOPLE 5 billion Place connectivity INFLECTION POINTS PLACES 1 billion Growth in Global Connectivity 2010 Ericsson AB from Joshipura, Arpit, Infrastructure Innovation - Can the Challenge be met? Global Semiconductor Alliance, September 2010
39 Big Data in Energy Production Megabyte 1,000,000 bytes (million) Gigabyte Terabyte Petabyte 1,000,000,000 bytes (billion) 1,000,000,000,000 bytes (trillion) 1,000,000,000,000,000 bytes (million billion) Exabyte Analytics Data quantity Data frequency 1,000,000,000,000,000,000 bytes (billion billion) Turbine (machine) Asset optimization Wind farm (plant) Operations optimization Energy Producer (enterprise) Business optimization >100 tags >6,000 tags >1M+ tags 40 milliseconds 1 second 1 second 10 minutes 17 MB/day 6.3 GB/year 4.1 GB/day 1.5 TB/year 0.7 TB/day 0.25 PB/year Source: General Electric
40 Big Data in Many Industries Exabyte 1,000,000,000,000,000,000 bytes (billion billion) ENERGY Smart grid FINANCE Fraud detection AUTO Fleet data will influence vehicle design AERO Maintenance, reliability BIOTECH Instrumented humans
41 Big Data in MATLAB Memory & Disk Management 64-bit Memory Mapped Variables Disk Variables Intrinsic Multicore Math Image Block Processing Processing Speed GPU Computing Parallel Computing Cloud Computing Distributed Arrays Algorithms Streaming Algorithms Machine Learning
42 Big Data in MATLAB Memory & Disk Management 64-bit Memory Mapped Variables Disk Variables Intrinsic Multicore Math Image Block Processing ExploreToday MasterClass 2^48 - keine Angst vor großen Datensätzen mit MATLAB Processing Speed GPU Computing Parallel Computing Cloud Computing Distributed Arrays Algorithms Streaming Algorithms Machine Learning
43 PROCESSING OPTIONS MATLAB RESTful interface to Cluster MATLAB Hadoop Streaming NoSQL connector (e.g. mongo) MATLAB / Java App accessing Cluster MATLAB Map-Reduce Components
44 CONNECTED CHIPS, DEVICES, & SYSTEMS Memory management Computing power Advanced algorithms
45 PEOPLE COMPUTING ANYWHERE
46 Cloud as a New Platform BILLIONS of users MILLIONS of apps Cloud mobile, browser, social, big data HUNDREDS OF MILLIONS of users 10,000s of applications PC - LAN, Internet MILLIONS of users 1,000s of applications Terminal - mainframe, mini Source: IDC, 2013
47 MATLAB Mobile Support for iphone, ipad & Android
48 The cloud, enhancing your MATLAB Desktop MATLAB Distributed Computing Server on Amazon EC2
49 The cloud, running MATLAB, on demand, from anywhere
50 The cloud, running MATLAB, on demand, from anywhere
51 Running in Enterprise IT Environments MATLAB Production Server This product is a game changer, for sure. Quantlabs Deploy MATLAB analytics into enterprise IT frameworks Integrate with databases, webservers and application servers Seamless transition from algorithm prototyping to enterprise-scale analytics without recoding
52 Running in Enterprise IT Environments MATLAB Production Server ExploreToday Track 1 This product is a game changer, for sure. Quantlabs Deploy MATLAB analytics into enterprise IT frameworks Integrate with databases, webservers and application servers Mathematische Modellierung, Datenerfassung, Signalverarbeitung und analyse Seamless transition from algorithm prototyping to enterprise-scale analytics without recoding
53 PEOPLE COMPUTING ANYWHERE MATLAB on mobile devices MATLAB on the cloud MATLAB in enterprise IT frameworks
54 Algorithms in everything Hardware in specialized form factors Connected chips, devices & systems People computing anywhere
55 Algorithms in everything Hardware in specialized form factors Connected chips, devices & systems People computing anywhere
56 MOOCs Massive Online Open Courses Online course Unlimited participation Open access via the web
57 Keynote: Neues Lernen - MOOC, MATLAB und Simulink Prof. Dr.-Ing. Georg Fries Professor der Ingenieurswissenschaften Hochschule RheinMain
58 Algorithms in everything Hardware in specialized form factors Connected chips, devices & systems People computing anywhere
59 ExploreToday Seize the opportunity to Learn what s new. and how to apply it Engage your colleagues Benefit from the experience Enjoy the conference!
60
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