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EE141 EECS 151/251A Spring 2018 Digital Design and Integrated Circuits Instructors: Nicholas Weaver & John Wawrzynek Lecture 1

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Page 1: Instructors: Nicholas Weaver & John Wawrzynek Lecture 1eecs151/sp18/files/Lecture1.pdfInstructors: Nicholas Weaver & John Wawrzynek Lecture 1. EE141 Class Goals and ... Fundamentals

EE141

EECS 151/251ASpring2018DigitalDesignandIntegratedCircuitsInstructors:NicholasWeaver&JohnWawrzynek

Lecture 1

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EE141

Class Goals and Outcomes

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EE141

What this class is all about?❑ Introduction to digital integrated circuit and system engineering

▪ Key concepts needed to be a good digital designer ▪ Discover you own creativity!

❑ Learn models that allow reasoning about design behavior ▪ Manage design complexity through abstraction and understanding of tools ▪ Allow analysis and optimization of the circuit’s performance, power, cost, etc.

❑ Learn how to make sure your circuit and system works ▪ Do you want your transistor/block to be the one that screws up a 1 billion

transistor chip?

3

Digital design is not a spectator sport! Learn by doing.

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EE1414

Course Focus

IC processing

Transistor Physics

Devices

Circuits

EE 40

EE 141

CS 61C

Gates

FlipFlops

HDL

Machine Organization

Instruction Set Arch

Programming Languages

Asm / Machine Lang

EECS 151

Deep Digital Design Experience

Fundamentals of Boolean Logic

Synchronous Circuits

Finite State Machines

Timing & Clocking

Device Technology & Implications

Controller Design

Arithmetic Units

Memories

Testing, Debugging

Hardware Architecture

Hardware Design Language (HDL)

Design Flow (CAD)

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EE141

ADMINISTRATIVIA

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EE1416

EECS151 CrewProfessor John

Wawrzynek (Warznek) 631 Soda Hall [email protected] Office Hours: Tu,Th 2:30PM, & by

appointment.

All TA office hours held in 125 Cory. Check website for days and times.

Michael

Taehwan Kim

Dr. Nicholas Weaver 329 Soda Hall [email protected] Office Hours: M 1-3pm & by appointment

& just drop by if my door is open

Arya Reais-Parsi

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EE141

Course Information❑ Basic Source of Information, class website:

http://inst.eecs.berkeley.edu/~eecs151/sp18/

▪ Lecture notes and video modules ▪ Assignments and solutions ▪ Lab and project information ▪ Exams ▪ Piazza Discussion Forum ▪ Many other goodies …

Print only what you need: Save a tree!7

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EE141

Class Organization❑ Lectures ❑ Discussion sessions ❑ Office hours ❑ Problem Sets ❑ Labs – FPGA or ASIC or both ❑ Design project ❑ 2 Midterms + 1 Final

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EE141

Class Textbooks

❑Useful LA lab reference (EE151/251A): ▪ Erik Brunvand: Digital VLSI Chip Design with Cadence and Synopsys CAD Tools

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Required Recommended

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EE141

Discussions▪ Not recorded – but material posted

▪ F 11:00AM-12 | 106 Moffitt Library

▪ Lead GSI: Arya Reais-Parsi – Only one may be viable given class size

and GSI assignment

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EE141

Problem Sets❑ Approximately 10 over the course of

the semester ❑ Posted on Thursday, due on Friday the

next week at 11:59pm ❑ Essential to understanding of the

material ▪ Hence …

❑ Ok to work with colleagues but need to turn in your own work / write-up

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EE141

Labs❑ Choose either FPGA or ASIC or both ❑ 7 FPGA / 7 ASIC labs ❑ Lab report due by next lab session ❑ Lab times – all in 125 Cory ▪ ASIC: W 5-8PM (Taehwan) ▪ FPGA: W, Th 2-5PM (Arya) ▪ All labs start next Week

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EE141

Midterms and Final❑ Midterms scheduled in class plus extra

time. No lecture that day. Special review session in advance. ▪ Midterm 1: Th Feb 15 – 5pm - 8pm ▪ Midterm 2: Th Mar 22 – 5pm - 8pm

❑ Final: Fri May 11, 11:30-2:30PM

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All exams are open book – it is understanding that matters!

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EE141

Course Information❑ For interactions between faculty, GSIs and fellow students –

we are using Piazza For fastest response post your questions on Piazza.

(make sure to register ASAP if you don’t want to miss any of the action)http://piazza.com/berkeley/spring2018/eecs151251a

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EE141

Snippets of Knowledge❑ Can work together on homework

▪ But you must turn in your own solution ❑ Lab reports due in lab 1 week after the lab session ❑ Labs done solo ❑ Project is done in groups of 2 ❑ No late assignments

▪ Solutions available shortly after due date/time ❑ Don’t even think about cheating!

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EE14117

Cheating• Details of our cheating policy on the class web site. Please read it and ask

questions.• If you turn in someone else's work as if it were your own, you are guilty of

cheating.  This includes homework sets, answers on exams, Verilog code, block diagrams, etc.

• Also, if you knowingly aid in cheating, you are guilty.• We have software that compares your submitted work to others. • However, it is okay to discuss with others lab exercises and the project. Okay

to work together on homework. But everyone must turn in their own work.• Do not post your work on public repositories like github (private o.k.) • If we catch you cheating, you will get negative points on the assignment: It is

better to not do the work than to cheat!  If it is a midterm exam, final exam, or final project, you get an F in the class.  All cases reported to the office of student conduct. 

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EE141

Grading Breakdown

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EECS 151/251A Lecture

Final 50%

Midterm2 20%

Midterm1 20%

Homework 10%

LA – ASIC

Project 62.5%

Labs 37.5%

LB – FPGA

Project 75%

Labs 25%

3 units

2 units

2 units

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EE14119

Tips on How to Get a Good GradeThe lecture material is not the most challenging part of the course.

• You should be able to understand everything as we go along. • Do not fall behind in lecture and tell yourself you “will figure it out later from the notes or book”. • Notes will be online before the lecture (usually the night before). Look at them before class. Do

assigned reading (only the required sections). • Ask questions in class and stay involved in the class - that will help you understand. Come to office

hours to check your understanding or to ask questions. • Complete all the homework problems - even the difficult ones. • The exams will test your depth of knowledge. You need to understand the material well enough to

apply it in new situations. You need to enroll in both the lab and the course.

• Take the labs very seriously. They are an integral part of the course. • Choose your partner carefully. Your best friend may not be the best choice! • Most important (this comes from 30+ years of hardware design experience):

• Be well organized and neat with homework, labs, project. • In lab, add complexity a little bit at a time - always have a working design. • Don’t be afraid to throw away your design and start fresh.

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EE141

Getting Started❑ Discussions and labs start next week ❑ HW 1 assigned later this week

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EE141

Course Accounts❑ A new online system to get account: ▪ go to http://inst.eecs.berkeley.edu/webacct, or ▪ click "WebAcct" on http://inst.eecs.berkeley.edu.

❑ Need Calnet login to get account and password immediately

❑ All enrolled and waitlisted students are included. Will need SIDs for others (e.g. CE).

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EE141

Digital Integrated Circuits and Systems – From The Past to the Future …

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EE14123Page

Electronics all around us

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Consumer

Products

Communications

Infrastructure

Automotive

Aerospace and

Military

Toys

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EE141

And then plenty more …

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EE141

How did this all arise?

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EE141

The Transistor Revolution

First transistor Bell Labs, Dec 1947

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EE141

First Integrated Circuits (1958-59)

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Jack Kilby, TI

Bob Noyce, Fairchild

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EE141

Transistor Counts

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EE14129

Moore’s Law – 2x stuff per 1-2 yr

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EE141301980 Pong game

10’s of logic gates

CS150 Project Complexity

1995 MIDI synthesizer 1000’s of logic gates

2000-2010 eTV tuner 10K’s logic gates

2010-2017 MIPS CPU or BYO 1M logic gates

2018 MIPS CPU Programmable SOC: dual-core ARM, 85K logic cells, 220 MACC

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EE141

The most important outcome: cost

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EE141

The other outcome

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EE141

Dennard Scaling (1974)

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❑ Voltages and currents should be scaled proportional to the dimensions of the transistor

❑ If so, delay and power should scale as the technology ▪ Delay ~ C . V / Iav ▪ P ~ C V2/Delay

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EE141

Frequency Trends in Intel's MicroprocessorsFr

eque

ncy

[MH

z]

0

1

10

100

1000

10000

1974 1983 1992 2001 2010

❑ 4004❑ 8008

❑ 8080

❑ 8086

❑ 8088

❑ 80286❑ 386DX

❑ 486DX ❑ 486DX4❑ Pentium

❑ Pentium Pro❑ Pentium II

❑ Pentium MMX

❑ Pentium III

❑ Pentium 4

❑ Itanium❑ Itanium II

❑ Core2

Frequency

Wasdoublingevery2years,

buthasvirtuallystoppedin2010

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EE141

Power Dissipation

Has been > doublingevery 2 years

Has to stay ~constant

Power Trends in Intel's Microprocessors

Pow

er [W

]

0.1

1

10

100

1000

1974 1983 1992 2001 2010

4004

8008 8080

80868088

80286

386DX

486DXPentium

Pentium Pro

Pentium II

Pentium IIIPentium 4

ItaniumItanium II Core 2

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EE141

Cause: Power Density

400480088080

80858086

286 386 486Pentium® proc

P6

1

10

100

1000

10000

1970 1980 1990 2000 2010Year

Pow

er D

ensi

ty (W

/cm

2)

Hot Plate

Nuclear Reactor

Rocket Nozzle

S. Borkar

Sun’s Surface

Power density too high for cost-effective cooling36

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EE141

Not enough cooling…

*Pictures from http://www.tomshardware.com/2001/09/17/hot_spot/ "We know computers really run on magic smoke, because when the magic smoke escapes the chip stops working"

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EE141

Way Beyond Microprocessors

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EE141

Some quick questions

❑ True or False: Moore’s law allows us to predict future properties in the same way that the law of gravity allows us to predict the path of a planet around the sun.

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EE141

Some quick questions

❑ True or False: Moore's law says that computer performance doubles every 18-24 months

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The other Demon: Complexity

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EE141

Complexity and Productivity Trends

110

1001,000

10,000100,000

1,000,00010,000,000

2003

1981

1983

1985

1987

1989

1991

1993

1995

1997

1999

2001

2005

2007

2009

101001,00010,000100,0001,000,00010,000,000100,000,000

Logic Tr./ChipTr./Staff Month.

xxxxxx

x21%/Yr. compoundProductivity growth rate

x

58%/Yr. compoundedComplexity growth rate

10,000

1,000

100

10

1

0.1

0.01

0.001Logi

c Tr

ansi

stor

per

Chi

p(M

)

0.01

0.1

1

10

100

1,000

10,000

100,000

Prod

uctiv

ity

(K) T

rans

./Sta

ff -

Mo.

Source: Sematech

Complexity outpaces design productivity

Com

plex

ity

Courtesy, ITRS Roadmap42

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EE141

The answer❑ Design methodology! ▪ Abstraction ▪ Hierarchy ▪ Reuse

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EE14144

Digital System Design:A few basic concepts

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EE14145

Example Digital Systems❑ General Purpose Desktop/Server Digital Computer

▪ Often designed to maximize performance. "Optimized for speed"

- Usually designed to minimize cost.

“Optimized for low cost”

- Of course, low cost comes at the expense of speed.

• Handheld Calculator

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EE14146

Example Digital Systems❑ Digital Watch

▪ Low power operation comes at the expense of:– lower speed– higher cost

Designed to minimize power.

Single battery must last for years.

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EE14147

Basic Design Tradeoffs

• Improve on one at the expense of the others • Tradeoffs exist at every level in the system design• Design Specification

– Functional Description– Performance, cost, power constraints

• Designer must make the tradeoffs needed to achieve the function within the constraints

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EE14148

Design Space & Optimality

Performance

Costlow-performance at low-cost

high-performance at high-cost

“Pareto Optimal” Frontier

(# of components)

(tasks/sec)

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EE14149

Hierarchy & Design Representation

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EE14150

Hierarchy in Designs – Complexity Control❑ Design Abstraction ▪ Hide details and reduce

number of things to handle at any time

❑ Modular design ▪ Divide and conquer ▪ Simplifies implementation

and debugging

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EE141

Design Methodologies❑ Top-Down Design

▪ Starts at the top (root) and works down by successive refinement.

❑ Bottom-up Design ▪ Starts at the leaves & puts pieces together to build

up the design. ❑ Which is better?

▪ In practice both are needed & used ▪ Top-down to handle the complexity (divide and

conquer) ▪ Bottom-up since structure influenced by available

primitives (in a well designed system)

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EE14152

Digital Design: What’s it all about?Given a functional description and performance, cost, & power constraints, come up with

an implementation using a set of primitives. • How do we learn how to do this?

1. Learn about the primitives and how to use them. 2. Learn about design representations. 3. Learn formal methods and tools to manipulate the representations. 4. Look at design examples. 5. Use trial and error - CAD tools and prototyping. Practice!

• Digital design is in some ways more an art than a science. The creative spirit is critical in combining primitive elements & other components in new ways to achieve a desired function.

• However, unlike art, we have objective measures of a design: Performance Cost Power

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EE141

Next Lecture❑ Design flow and substrates ▪ RTL design abstraction ▪ FPGA fabric overview ▪ ASIC std-cell overview ▪ Design tools (synthesis, p&r, verification)

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