Lecture 4: Technology Scaling
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1 Digital Integrated Circuits (83-313) Lecture 4: Technology Scaling Semester B, Lecturer: Dr. Adam Teman TAs: Itamar Levi, Robert Giterman 2 April 2017 Disclaimer: This course was prepared, in its entirety, by Adam Teman. Many materials were copied from sources freely available on the internet. When possible, these sources have been cited; however, some references may have been cited incorrectly or overlooked. If you feel that a picture, graph, or code example has been copied from you and either needs to be cited or removed, please feel free to adam.teman@biu.ac.il and I will address this as soon as possible.
2 Motivation If transistors were people Courtesy: Intel 2011 Now imagine that those 1.3B people could fit onstage in the original music hall. That s the scale of Moore s Law. 2
3 3 Lecture Content
4 1 Moore s Law 2 Scaling Models 3 Current and Future Trends Moore s Law 4
5 Moore s Law In 1965, Gordon Moore noted that the number of components on a chip doubled every 18 to 24 months. He made a prediction that semiconductor technology will double its effectiveness every 18 months 5 Electronics, April 19, 1965.
6 Computersciencezone.org Moore s Law 6
7 Reports of my death were greatly exaggerated 7 "In my 34 years in the semiconductor industry, I have witnessed the advertised death of Moore s Law no less than four times. As we progress from 14 nanometer technology to 10 nanometer and plan for 7 nanometer and 5 nanometer and even beyond, our plans are proof that Moore s Law is alive and well Bryan Krzanich, CEO Intel, April 2016
8 Technology supporting Moore s Law Courtesy: Intel 8
9 Moore s Law Today (2016) Intel Xeon E V4 IBM 7nm Test Chip 14nm Broadwell 22 Cores 2.2 GHz 55MB Cache 416 mm Billion Transistors 456 mm 2 Die size Introduced March 31, nm EUV Photolithography SiGe channels Introduced July
10 10 Evolution in Memory Complexity
11 Die size (mm) Die Size Growth P6 Pentium proc ~7% growth per year ~2X growth in 10 years Year Apparently, that doesn t apply anymore Die size grows by 14% to satisfy Moore s Law 11 Courtesy, Intel
12 12 Moore was not always accurate
13 Teman s Law ~25 cm ~8 cm 13
14 14 Cost per Transistor
15 15 Scaling
16 Goals of Technology Scaling Make things cheaper: Want to sell more functions (transistors) per chip for the same money Build same products cheaper, sell the same part for less money Price of a transistor has to be reduced But also want to be faster, smaller, lower power Rabaey s Law of Playstations 16
17 Technology Scaling Dennard s Law Benefits of scaling the dimensions by 30% (Dennard): Double transistor density Reduce gate delay by 30% (increase operating frequency by 43%) Reduce energy per transition by 65% (50% power 43% increase in frequency Die size used to increase by 14% per generation Technology generation spans 2-3 years 17
18 1 Moore s Law 2 Scaling Models 3 Current and Future Trends Scaling Models 18
19 Dennard Scaling In 1974, Robert Dennard of IBM described the MOS scaling principles that have accompanied us for forty years. As long as we scale all dimensions of a MOSFET by the same amount (S), we will arrive at better devices and lower cost: L 1/S W 1/S t ox 1/S Na S Vdd 1/S V T 1/S 19
20 Reminder our simple timing/power models In our previous course, we developed the unified model for MOS transistor conduction: 2 I K V V 0.5V 1 V K C I R t ox C W L n ox t ox ox 2 on n GT on V K V DD I R C pd on g on DS GT DSeff DSeff DS V min V, V, V DSeff GT DS DSAT 20 P dyn f C V 2 DD
21 Dennard (Full) Scaling for Long Transistors V L S W S t V V ox DD T N A DSat 1 S S 1 1 S S 1 1 crit L Property Sym Equation Calculation Scaling Good? Oxide Capacitance Device Area Gate Capacitance Transconductance Saturation Current On Resistance Intrinsic Delay Power Power Density C ox A C g K n I on R on t pd P av PD ox t 1 ox Cox 1 S S W L 1 1 S S W L 1 1 S S S C W L 1 1 n ox S S S KV 2 n S S VDD I 1 1 on S S K V V V n DSat GT DSat on GT S S S 1 R C 1 S g f C V DD S S S 2 2 P A S S av 1 S 1 S S 1 S 1 1 S 1 S
22 Dennard Scaling This previous slide showed the principal that has led to scaling for the last 50 years. Assume that we scale our process by 30% every generation S 2 S Therefore, if the area scales by 1/S 2 =1/2, our die size goes down by 2X every generation! In addition, our speed goes up by 30%! And our power also gets cut in half, without any increase in power density. We have hit one of those rare win-win free lunch situations! Sorry I couldn t resist! 22
23 But what if we want more speed? We saw that t C V I pd g DD on We can aggressively increase the speed by keeping the voltage constant. I K V 2 S on n GT 1 2 t S 1 S 1 S pd This led to the Fixed Voltage Scaling Model, which was used until the 1990s (V DD =5V) 23
24 Moore s Law in Frequency 24 Nature
25 Fixed Voltage Scaling V DD L W t V ox T N A 1 S S 1 S S 1 S 1 1 Property Sym Equation Calculation Scaling Good? Oxide Capacitance Device Area Gate Capacitance Transconductance Saturation Current On Resistance Intrinsic Delay Power Power Density C ox A C g K n I on R on t pd P av PD ox t 1 ox Cox 1 S S W L 1 1 S S 1 S W L 1 1 S S S 1 S ncoxw L 1 1 S S S KV n V I 1 S DD on on S S 1 S 2 f C V 2 1 DD S S 1 S Pav 2 GT R C g A S S 1 S 1 1 S S 2 1 S 3 S
26 Fixed Voltage Scaling Short Channel What happens with velocity saturated devices? I on KnVDSat VGT VDSat S S So the on current doesn t increase leading to less effective speed increase. 1 t R C 1 S 1 S pd on g 26 The power density still increases quadratically! DD PD fcv A S S S S
27 Power density (2004 expectation) The Power Density Crisis Patrick Gelsinger, Intel ISSCC
28 What happens as a result of power density? Let s remove the CPU fan 28
29 29 What actually happened?
30 Technology Scaling Models 30 Fixed Voltage Scaling Supply voltages have to be similar for all devices (one battery) Only device dimensions are scaled. 1970s-1990s Full Dennard Scaling (Constant Electrical Field) Scale both device dimensions and voltage by the same factor, S. Electrical fields stay constant, eliminates breakdown and many secondary effects. 1990s-2005 General Scaling Scale device dimensions by S and voltage by U. Now!
31 How about Leakage Power? Later in the semester, we will see that the off current is exponentially dependent on the threshold voltage. VT Ioff In the case of Full Scaling, the leakage current increases exponentially as V T is decreased! e n T Since the 90nm node, static power is one of the major problems in ICs. 31
32 1 Moore s Law 2 Scaling Models 3 Current and Future Trends Current and Future Trends 32
33 ITRS International Technology Roadmap for Semiconductors 33
34 Technology Strategy Roadmap More Moore More than Moore Beyond Moore Quantum Computing 34
35 35 When will Moore s Law End?
36 36 Current Strategies
37 Further Reading J. Rabaey, Digital Integrated Circuits 2003, Chapter 1.3 E. Alon, Berkeley EE-141, Lecture 2 (Fall 2009) a number of years of experience! 37
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