Dr. Ton Engbersen May, 2013 Computing Power, processing and memory for Intelligent language and Situation understanding Cognitive Systems & the New Era of Computing Dr. Ton Engbersen Scientific Director ASTRON & IBM Center for Exascale Technology, Mgr. Energy Management Member IBM Academy of Technology – Past VP Europe IBM Zurich Research Laboratory – Switzerland. © 2013 IBM Corporation IBM Research Globalization Dublin China Zurich Almaden Austin Watson Haifa Tokyo India Semiconductors Processors Africa Brazil Australia IBM Research Labs © 2013 IBM Corporation IBM Research Collaborations DOME China Dublin New York Almaden Almaden Austin Austin Zurich Watson China Haifa Haifa India India Tokyo Africa Brazil Australia IBM Research Labs © 2013 IBM Corporation © 2013 IBM Corporation SKA Array & Receptor Technologies 250 Dense Aperture Arrays 2500 Dishes 3-Core Central Region 250 Sparse Aperture Arrays Artists’ Renditions from Swinburne Astronomy Productions © 2013 IBM Corporation © 2013 IBM Corporation Big Data SKA Exa Up to 10,000 Times larger Peta Data at Rest Data Scale Tera Giga Mega Traditional Data Warehouse and Business Intelligence Up to 10,000 times faster Data in Motion Kilo yr mo wk Occasional day hr min sec Frequent Decision Frequency … ms µs Real-time © 2013 IBM Corporation SKA as an example 25..250 PByte/day 150 Tbit/s (all stations) RCU Board RSP Board A/D Filter Σ Filter Σ Beamformer WAN Filter Σ Filter Σ Backplane & RF Shield Output control Distributed Beamforming Station GbE switch (24 ports) GbE RSP board 24 14 EByte/day (all antennas) WAN fibre connections © 2013 IBM Corporation 25 … 250 PB/day Top 500: Sum=123 PFlops. 2GFlops/watt. 100x Flops of Sum! ~ 7GWh 1… 3 PB/Day © 2013 IBM Corporation System Analysis -P1: Algorithms & Machines Computing - P4: Microservers - P5: Accelerators Transport - P3: Nanophotonics - P7: RT-Communications - P6: Compressive Sampling Storage - P2: Access Patterns P8: Project Lead © 2013 IBM Corporation Exa Up to 10,000 Times larger Peta Data at Rest Data Scale Tera Giga Mega Traditional Data Warehouse and Business Intelligence Up to 10,000 times faster Data in Motion Kilo yr mo wk Occasional day hr min sec Frequent Decision Frequency … ms µs Real-time © 2013 IBM Corporation © 2013 IBM Corporation © 2013 IBM Corporation Cognitive Computing The Growth of Uncertain Data Presents a Challenge to Today’s Computers: Sensors & Devices 9000 Volume in Exabytes Percentage of uncertain data 80 7000 60 6000 Social Media 5000 4000 40 You are here VoIP 20 3000 Percent of uncertain data 8000 100 Enterprise Data 0 2010 14 2015 © 2013 IBM Corporation Cognitive Computing Big Data is Ushering in a New Era of Computing Volume Terabytes to exabytes of existing data to process 15 Velocity Streaming data, milliseconds to seconds to respond Variety Structured, unstructured, text and multimedia Veracity Uncertainty from inconsistency, ambiguities, etc. © 2013 IBM Corporation Cognitive Computing Eras of Computing Tabulating Systems 16 Programmable Systems Sorting and counting Transaction processing Sales Database marketing Inventory e-Commerce Accounting/ general ledger Near real-time decision support Cognitive Systems Cog.ni.tive: of or pertaining to the mental processes of perception, memory, judgment, learning, and reasoning. © 2013 IBM Corporation Cognitive Computing On February 14, 2011, IBM Watson changed history . . . 17 © 2013 IBM Corporation Cognitive Computing The New Era of Computing – Cognitive Systems Society (Natural Interfaces) Active Learning Verification Engines (e.g. Simulations) Nature Institutions Training and Learning Engines To Build Models and Define Insight Archives Policy Engine Business, Legal and Ethical Rules Hypothesis Engines To Understand and Plan Actions Outcome Engine Actuation and Validation 18 © 2013 IBM Corporation Cognitive Computing Watson vs. Brain: Big Efficiency Gap Calls for Technology Innovation 45 nm System Power (W) 15 to 11 nm 5 nm Watson Power Scaling with Moore’s Law > 1,000x Efficiency Gap* Human Brain *brain does far more than scaled Watson Year 19 © 2013 IBM Corporation Cognitive Computing Cognitive Computing Nanotechnology 20 © 2013 IBM Corporation Cognitive Computing Brain can Integrate and Co-ordinate Multiple Sensory, Motor Modalities 21 © 2013 IBM Corporation Cognitive Computing Computers and the Brain: Different & Complementary Separates memory and processor Integrates memory and processor Sequential, centralized processing Parallel, distributed processing Ever increasing clock rates, high active power Event-driven, low active power Huge passive power Does “nothing” better, low passive power Programmed system, hard-wired, fault-prone Learning system, reconfigurable, fault-tolerant Algorithms and analytics Substrate and pattern recognition 22 © 2013 IBM Corporation Cognitive Computing “Mimicking” the Brain: "Spikes“ as Computational Primitives 0 Threshold W_0*w(0) 1 W_1*w(1) ∑ 0/1 W_i*w(i) i W_n*w(n) n 23 © 2013 IBM Corporation Cognitive Computing First cognitive computing chips developed at IBM Research – Almaden Learn more at ibm.com/synapse 24 © 2013 IBM Corporation Cognitive Computing Demonstrated Two Neurosynaptic Cores in 45nm CMOS-SOI Synapses Scheduler Neurons (a) 256 neurons, 64K synapses, 1MHz Learning on board (b) 256 neurons, 256K synapses, asynchronous, 45 pJ/spike ~ 1000x Human Brain 25 © 2013 IBM Corporation Cognitive Computing 26 © 2013 IBM Corporation Cognitive Computing IBM Watson brings together a set of transformational technologies to drive optimized outcomes 2 1 Understands natural language and human speech Generates and evaluates hypothesis for better outcomes 99% 60% 10% 3 Adapts and Learns from user selections and responses 27 IBM Watson represents a new class of cognitive solutions built on a massively parallel probabilistic evidence-based architecture © 2013 IBM Corporation Cognitive Computing Case Study: A Cognitive System Applied to Medical Diagnosis Memorial Sloan Kettering Cancer Center Challenge Rising caseloads: 1.6 million new cancer cases this year in the US alone* Complexity of cancer: a disease with hundreds of sub-types Non-specialists cannot keep up with rapidly changing information Solution Combine IBM Watson with Sloan Kettering’s clinical knowledge, molecular and genomic data and vast repository of cancer case histories, along with updated guidelines and published research Share evidenced-based options to oncologists anywhere to help them decide how best to care for an individual patient 28 *American Cancer Society, Cancer Facts and Figures 2012 Watson just keeps getting smarter First applications for lung, breast and prostate cancers under development. Pilots to begin with a select group of oncologists by year-end © 2013 IBM Corporation Cognitive Computing Device and Technology Roadmap Bio-Inspired Computation Computing Without Programming Quantum Devices & Circuits Neuromorphic Devices &Circuits Neuromorphic & Quantum Devices Increasing Efficiency 50µm Non-Von Neumann Architectures + Von Neumann Architectures Algorithms InAs Si Vddh ck2b_hi Computing with Programs: Fetch Instructions, Decode, Execute & Repeat. ck2_hi Vc=Vddh-Vdd (constant) ck2 en ck2b ck2b_lo ck2_lo Low V Circuits & Architecture Low V Devices New Architectures Leveraging 100’s of Billions of Low-Voltage Devices Spintronic & Magnetic Existing Architectures FPGA’s Reconfigurable Logic Nanowires High-k Accelerators Carbon Electronics Subsystem Integration (3D, SCM, Photonics) Today 29 New Devices, Architectures & Computing Paradigms Time © 2013 IBM Corporation Cognitive Computing Biologically-Inspired Learning Systems 1014 Synapses 30 © 2013 IBM Corporation Cognitive Computing Cognitive Systems: The New Tools for the 21st Century The New IT Frontier Cognitive Systems “Within ten years a digital computer will be the world's chess champion” 1958, H. A. Simon and Allen Newell Computer Intelligence Watson 2011 Deep Blue 1997 System/360 1964 Abacus circa 3500 BC Antikythera Astronomical Computer circa 87 BC Napier’ ’s Rods circa 1600 Counting Machine Circa 1820 ENIAC circa 1945 Calculators Time 31 © 2013 IBM Corporation “There is a sense from many places that whoever figures out how the brain computes will come up with the next generation of computers,” says Dr. Thomas Insel, the director of the USA National Institute of Mental Health. 32 © 2013 IBM Corporation
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