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CCC Workshop on Extreme Scale EDA Teaching the First EDA MOOC: Reflec?ons on the Experience, and Opportuni?es for the Discipline
Rob A. Rutenbar Abel Bliss Professor & Head
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Context
§ From March – May 2013, I did the first-‐ever MOOC on how we build EDA tools for chip design, on Coursera § In contrast to lots of MOOCS, explicitly a “grad level” course
Slide 2
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More Context
§ I spent 25 years on faculty in ECE at Carnegie Mellon
§ And I taught this class… § About 15 ?mes over the years § To about 700-‐750 students over these years § Class called: VLSI CAD: Logic to Layout
§ I “came of age” in Mead&Conway era, so it’s “VLSI” and “CAD” for me…
§ …even tho in course I explained “yeah, it’s really EDA”
Slide 3
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What Does the “Regular” Class Teach?
§ Classical ASIC Flow § Some models § Some synthesis § Some verifica?on § Some logic, some layout § Some ?ming
§ Topics § Computa?onal Boolean Alg § Logic verifica?on: BDDs, SAT § FSM verifica?on (no model check) § Logic synthesis: 2-‐level, mul?-‐level § Technology mapping § Timing analysis: sta?c + electrical § Placement (Itera?ve, mincut, analy?cal) § Rou?ng: maze § Geometric data structures § Extras: eg, Litho simula?on
Slide 4
Timing Verification
Layout Synthesis
Logic Verification
Logic Synthesis
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Physical On-‐Campus Class à MOOC
§ My physical class is § 15 weeks § 948 PPT slides § 20 separate slide decks § Delivered as roughly 14*3
hours (est) = 52 hours of lecs
§ But, typical MOOC not same length & intensity as a standard semester
Slide 5
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Designing Coverage for my MOOC § Walking thru each lec slide by slide, and chunking into
individual essen?al topics, was for me a very useful exercise § I have ~102 separate topics, with per-‐topic slides counts below
Slide 6
0 5
10 15 20 25 30 35 40
SLIDES PER CAD TOPIC
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Closeup on Topical Coverage
§ Example of 2 topics, up close, PPT lecture slide counts
Slide 7
0" 5" 10" 15" 20" 25" 30" 35" 40"
cofactors"bol"diff"
quan7f"defns"network"repair"
compu"strategies"URP"
BDD"basic"defs"ROBDD"Building,"Var"order,"Simple"SAT"
Mul7"root,"GC"Neg"arc"
Ops,"Retrict"&"ITE"ITE"implementa7on,"hash"tables"
Computational Boolean Algebra
BDDs
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Result: From Regular Course to MOOC
Slide 8
Regular class: 20 Lectures
948 PPT slides
69 Short Video Lectures
Average length: 15 minutes
615 total PPT slides
17 total lecture hours / 10 weeks
à 50-60% of regular course,
In about 1/3 of the time
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MOOC Video Content: Minutes/Lecture, by Week
Slide 9
0" 5" 10" 15" 20" 25" 30" 35"1.1#
1.3#
1.5#
2.1#
2.3#
2.5#
2.7#
3.2#
3.4#
3.6#
4.1#
4.3#
4.5#
4.7#
5.1#
5.3#
5.5#
5.7#
5.9#
6.2#
6.4#
6.6#
7.2#
7.4#
7.6#
7.8#
8.1#
8.3#
8.5#
8.7#
9.1#
9.3#
Series2#
1. Comp Bool Alg
2. BDDs & SAT 3. Logic Synth I
4. Logic Synth II
5. Placement
6. Tech Map
7. Routing
8. Timing Tool Tutorials
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Why Many Short Video Segments?
§ Pedagogy § Beber reten?on with short bursts of focused instruc?on § Emphasize one (or few) core topics
§ Bandwidth § In much of planet, cannot download 2-‐hour video as 1 chunk § So– keep vids short. Don’t stream “live”. Download, view later § Cri?cal to respect infrastructure reali?es for successful MOOC
Slide 10
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What’s In A Video Lecture?
§ Start with “talking Rob head” intro of lecture topic
Slide 11
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What’s In A Video Lecture? § Most content is me wri?ng-‐on-‐the-‐slides of lec + voiceover
Slide 12
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MOOC Assignments § 8 weekly homeworks, aka, Problem Sets
§ True/False § Mul?ple Choice § Type a number in a box, etc
§ What’s different than in-‐class versions? § Can’t do math deriva?ons § Must “over supply” sub-‐problems, and randomize (chea?ng) § Par??on big problems into smaller, step-‐by-‐step parts
§ Took about 3 HW sets to “get this right”, style-‐wise Slide 13
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Example: One HW Problem Spec
Slide 14
Randomize selec?on from this 1st group of sub-‐ques?ons
Randomize selec?on from this 2nd group of sub-‐ques?ons
Etc…
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MOOC Assignments § Lots of cri?cism of MOOCs being “dumbed down”
§ Yes, they are a bit simpler. No, not a lot “dumber” § Mostly, burden on instructor to design smart assignments § Ex: this is the “macro answer” to one factoring HW problem
Slide 15
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MOOC Assignments: 2 Paths Thru Class
Slide 16
CODE!
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EDA MOOC: Some Philosophy
§ I don’t believe you can teach a serious EDA course without: § Experimen?ng with some exis?ng EDA tools § Designing sogware to build some EDA tools
§ How to do this at scale? To 10,000 students? § CDNS, SNPS, etc, are not going to give us free stuff § Lots of IP, Licensing, etc, landmines: you get to know your university’s top lawyers on a first name basis, in your MOOC
§ Answers § Carefully select open source sogware § Write everything else yourself
Slide 17
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VLSI CAD MOOC: Sogware Ecosystem
Slide 18
kbdd espresso SIS miniSAT Ax=b
Tool Portals for Student Use
Input: Text file Output: Webpage
Prog1 Prog2 Prog3 Prog4
Auto-‐Graders
Input: Text file Output: Webpage
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Aside: Building this Sogware Ecosystem
Slide 19
kbdd espresso SIS miniSAT Ax=b
Yes.
Ohhhh….
Rob – what is this stuff? Is this K&R
C or what??
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VLSI CAD MOOC: Sogware Ecosystem
Slide 20
kbdd
txt Tool output à Private webpage
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VLSI CAD MOOC: 4 Sogware Projects
Slide 21
1. Boolean Data Structures & Computa?on (URP,PCN)
2. BDD-‐based Logic Network Repair
3. Quadra?c Placement R
4. Maze Rou?ng
S
Layer 1 Layer 2
T v
v
v v
1
2
2 2
2
3
3
3
3
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About MOOC Sogware Projects
§ We provide the spec and input data; we grade output file
§ Too hard to compile/run other people’s code § Too many plalorm issues; too many language issues § ASCII texlile in; ASCII texlile out
§ Architect like a real “regression test suite” § Several benchmarks, from ?ny to big § Par?al credit for each part (as much as possible) § Lots of feedback in the webpage portal about how it went
Slide 22
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Concrete Example: Regression-‐Like Benchmarks
§ Can you route a 2-‐point wire in 1 lqyer?? Horizontal? Ver?cal? Around obstacle? Straight line? With a bend? etc
Slide 23
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Sogware Project Examples: Layout
Slide 24
Recursive Quadratic Placer 2-Layer ASIC-style Maze Router
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New Problem: How Can Students See Layout? § Can’t control what plarorm they use! § Answer: custom HTML5 geometry web-‐based environment
§ If they have a modern browser, they can drag/drop text file
Slide 25 (HTML5 design and pic by Nicholas Chen)
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The Elephant In The (MOOC) Room…
Slide 26
LOTS of people start…
NOT so many people finish
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VLSI CAD MOOC: The Par?cipant Landscape § 17,500 par?cipants at peak § 7,000 people watched a video § 1,300 people did a homework § 400 people tried a sonware assignment § 500 people took the Final Exam § 386 Statement of Accomplishment Cert’s
Slide 27
DEMOGRAPHICS Average age: 30 Min: 15 Max: 75 Have a Bachelors: 30% Have MS/PhD: 29% Male: 88% Female 12%
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Slide 28
VLSI CAD Student Percent0%
0.01 - 1%
1.01 - 2.5%
2.51 - 5%
5.01 - 10%
10.01 - 29.69%
ATLAS Statistics GroupUniversity of Illinois
Data gathered between Fall 2012 and Spring 2013
University of Illinois Coursera Students: VLSI CADPercent of Students by Country
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0"
1000"
2000"
3000"
4000"
5000"
6000"
7000"
8000"
1.1"
2.2"
2.4"
2.6"
3.2"
3.4"
4.2"
5.1"
5.3"
6.2"
6.4"
7.1"
7.3"
8.2"
8.4"
9.1"
9.3"
9.5"
9.7"
9.9"
10.2"
10.4"
10.6"
11.2"
11.4"
11.6"
11.8"
12.1"
12.3"
12.5"
12.7"
Details: Views Across All My MOOC Videos
Slide 29
Roughly number of employees in SYNOPSYS, world’s largest EDA company
Roughly equivalent to 40 years of students for this course
Many ways to deliver educa?onal value in a MOOC; it’s not all about how many people take the Final…
Roughly attendance at DAC’13
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Things One Learns in MOOC-‐Land..
Slide 30
My handwri?ng unreadable for a planetary audience
MOOCers crave interac6on with instructors, 24x7!
Be sensi?ve to diversity of IT resources of par?cipants
Crea6vity to make homeworks in mul?ple-‐choice format
F!=!pt!+!xz!+!qt!+!pyz!+!rst!+!qyz!+!puv!+!px!+!quvw!+!rsuvw!
S!=!pt,!pyz,!puvw,!px!co!=!p!F/co!=!t+yz+uvw+x!
p!
S!=!qt,!qyz,!quvw!co!=!q!F/co!=!t+yz+uvw!
q!
S!=!rst,!rsuvw!co!=!rs!F/co!=!t+uvw!
r!
S!=!pt,!qt,!rst!co!=!t!F/co!=!p+q+rs!
S!=!puvw,quvw,rsuvw!co!=!uvw!F/co!=!p+q+rs!
t!s**!
**!!=!when!2!or!more!individual!variables!in!the!main!!loop!“For!(each!variable!x!in!F)!yield!the!same!soluAon!for!F/x,!we!just!draw!them!poinAng!to!the!same!child!box!in!our!diagram!of!the!progress!of!the!algorithm.!!!
u! v**! w**!
S!=!xz,!px!co!=!x!F/co!=!p+z!
x!
S!=!pyz,!qyz!co!=!yz!F/co!=!p+q!
y!
S!=!xz,!pyz,!qyz!co!=!z!F/co!=x+py+qy!
z!
y!
S!=!pyz,!qyz!co!=!yz!F/co!=!p+q!
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My MOOCers: Want More EDA…
Slide 31
Word-‐cloud from Final Exam ques?on: what else would you like us to cover
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Why Did I Do This…?
Slide 32
Because every vibrant discipline needs a solid on-‐ramp, and teaching of core-‐EDA was vanishing, rapidly…
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Reflec?ons…
§ If we want to energize a new genera?on of EDA § Moving EDA into other areas or kinds of systems § Moving EDA into new technology plalorms (eg, post-‐Moore) § Transla?ng EDA “sideways” into adjacent opportunity areas
§ If we want to do any of these things, somebody has to be teaching the founda?onal topics § Maybe it is the case that planet can only support a handful of these large, global-‐scale courses on EDA founda?ons
§ Maybe this is only way to reach broadest, global audience § OK – so be it. Here’s my shot at “regenera?ng the excitement” Slide 33
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Me: Personally Posi?ve on MOOC Poten?al
Slide 34
Version 002 of my EDA MOOC goes live MARCH 3, 2014
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Me: Personally Posi?ve on MOOC Poten?al
Slide 35
Me, March-‐May 2013
Me, Aug 2013
INABIF, Villa El Salvadore, Peru
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Summary
§ I taught the first-‐ever EDA MOOC last year § Exhilara?ng. Amazing. (Terrifying). Sa?sfying. § Why? Because somebody has teach this stuff at scale. § Why? Because the material is important & beau6ful. § Why? Because need excitement for vibrancy of discipline.
§ I’m doing it again this year (in about 2 weeks) § Ask me at DAC how Round #2 goes….
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