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How to Really Review Papers

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Prvulovic: CORD. 2. Paper Reviewing Algorithm. Read the paper ... Prvulovic: CORD. 11 ... Prvulovic: CORD. 12. Always the big picture. Don't focus on ... – PowerPoint PPT presentation

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Title: How to Really Review Papers


1
How to Really Review Papers
  • CS 8803 AIC

2
Paper Reviewing Algorithm
  • Read the paper
  • Think about it
  • Take a look at related work
  • Leave it alone for a few days
  • Read it again
  • Write the review

3
Thinking about it
  • What is the paper trying to do
  • Observation/Motivation
  • Programs often do X
  • In the future, Y wont work
  • Implementation
  • Heres how to exploit this observation
  • Evaluation
  • We get great perf/power/reliaility/ improvement,
    or
  • It didnt work and heres why

4
Contributions
  • Did you gain an important insight
  • A new problem?
  • A new way to look at a problem?
  • Counter-intuitive or unexpected?
  • Did it propose a good solution to a problem?
  • Explanation why solution should work
  • Explanation why its a better solution
  • Did it provide a good quantitative evaluation
  • Should work in real processors?
  • Should it gain or lose relevance in the future?
  • Should work on real applications?

5
Summary
  • Like a paper abstract
  • Short and self-contained (no undefined acronyms)
  • Short high-level description of contribution
  • But without the sales pitch
  • Avoid quoting numbers
  • What is really the contribution

6
Good points
  • Successful contributions
  • If you learned something, thats a good thing
  • If could be useful for real systems, thats good
  • List the most important things
  • If you only list Well written, paper is really
    bad
  • There are ALWAYS good points ?

7
Bad points
  • Motivation problems
  • Unclear whether there is a problem
  • Unclear why its an important problem
  • Implementation problems
  • Unclear why solve the problem this way
  • Unclear what tradeoffs are
  • Evaluation problems
  • We all know about these
  • Organization problems
  • Difficult to follow?
  • List the most important bad points
  • If difficult to read is the only problem, its
    a great paper

8
Questions to answer
  • Important questions only
  • If answer cant change your recommendationdont
    ask the question here (see next slide)
  • Can it be answered in a few days?
  • If lots of work needed to answer, dont ask here
  • Unsure if you got something right?
  • If decision depends on something, andyou are not
    sure if your understanding is correctDO ask it
    here

9
General Comments Section
  • Help the authors improve the paper
  • Always be constructive
  • Even if paper is hopelessThe problem of cache
    conflicts in 1024-way set associative caches is
    not very important, and the authors should focus
    on lower-associativity caches
  • All grammar/writing/organizationissues go here!

10
Confidential Comments
  • Only put things that are importantand would
    disclose your identity
  • My group did this already in 1999 andwe
    published it in ISCA that year

11
Scoring (numbers)
  • Compare to other papers in the same
    journal/conference/class
  • So, compare to other papers in this class
  • Weak accept
  • Similar in quality to lower half of accepted
    papers
  • Strong accept
  • Similar to upper half of accepted papers
  • Neutral/Undecided
  • Would be in bottom 10 of accepted papers
  • Strong reject
  • You would argue against accepting it

12
Always the big picture
  • Dont focus on minor issues
  • Very easy to find lots of these
  • Focus on make-or-break issues
  • If X wasnt there, it would be a much worse paper
  • If X done right, it would be a much better paper
  • Always consider the space
  • Dont ask for it if you dont think something
    else should be removed or made shorter
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