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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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Page 1: CCC!Workshop!on!Extreme!Scale!EDA !!!!Teaching!the!First ... · Slide36. Title: 2014-02 RUTENBAR CCC EDA v0r.pptx Author: ROB RUTENBAR Created Date: 8/12/2014 6:04:33 PM

 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

3

3

4

4

4

4

4

5

6

6

6

6

5

5

5

5

5

5

6

6

6

6 6

7

7

7

8

8

8

8 8

8

8

8 7

7

7

7

7

7

7

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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….  

 Slide  36