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Comments on Development-Oriented vs Basic Research

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Title: Comments on Development-Oriented vs Basic Research


1
Comments on Development-Oriented vs Basic
Research
  • Prof. Jason Cong
  • cong_at_cs.ucla.edu
  • Computer Science Department
  • University of California, Los Angeles

2
Is There Basic Research In Computer Science
  • What is basic research?
  • Understanding the nature and discovering the
    ultimate truth
  • Without consideration of practical implication or
    commercial impact
  • With exception of theory, most of computer
    science is applied research, not basic research
  • But there is a lot to leverage from basic
    research
  • Examples from my research areas in computer-aided
    design

3
Characterization of Programmable Logic Blocks for
Lookup-Table (LUT) based FPGAs (Field-Programmable
Gate-Arrays)
Each box is a k-input look-up table, can
implement of any Boolean function up to k inputs
4
Use of Theory of Functional Decomposition
  • Wed like to answer the questions
  • f(x1,x2,,xn) g(y1(x1,,xk),,ym(x1,,xk),xk
    1,xk2,,xn))
  • Ashenhurst Decomposition (1959)
  • Roth-Karp Decomposition (1962)
  • Recent improvement using Binary Decision Diagram
    (BDD)

5
mPL produced best result at ISPD2006 Placement
Contest
6
Multilevel Optimization Framework
  • Successful in many applications
  • Originally developed for partial differential
    equations (PDEs)
  • Recent success in VLSI CAD partitioning,
    placement, routing
  • Collaboration of Tony Chan (UCLA Math)

7
How to Best Leverage Basic Research ?
  • Inter-discipline research is very important
  • Are we aware whats going on in basic research?
  • How and who will bridge the gap?
  • A broad education of students is very important
  • Be able to understand and appreciate basic
    research

8
Short-Term vs. Long-Term Applied Research
  • Need to focus on long-term applied research
  • 5 -15 years beyond immediate application
  • Pre-competitive
  • Example the invention of Internet
  • 1st node of arpa-net built at UCLA in 1969
  • It is not easy to identify long-term research in
    an exponential growing field
  • Law of exponential power Every generation of
    advancement is larger than the sum of all
    previous generations
  • What takes to do long-term applied research
  • Vision and good taste
  • Sufficient funding
  • Reward and understanding of risk taking
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