Guide-linked quiz · Medium Level

AI in Chip Floorplanning and Design Quiz

Explore learned chip placement, with netlist graphs, sequential macros, proxy objectives, standard-cell placement, feasibility, and HPWL arithmetic.

Question 1 of 8

What physical decision does chip floorplanning or placement make?

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Answers and explanations appear as you take the quiz.

  1. What physical decision does chip floorplanning or placement make?
    • Only the chip’s retail selling price
    • Only its package color
    • Only the company name on the box
    • Where circuit components occupy locations on the chip canvas
  2. How should the cited paper’s report of competitive floorplans produced in hours be interpreted?
    • As a result for its studied setup, netlists and comparisons
    • As proof that every chip can be fully signed off in the same time
    • As a guarantee of global optimality for all circuits
    • As an architecture-independent law about every design tool
  3. How does the AI frame the placement problem?
    • As a single one-shot guess
    • As a sequential decision: place one block, observe, then place the next
    • As a cooking recipe
    • As a spreadsheet sort
  4. What is the 'netlist' that a graph neural network learns from?
    • A list of network passwords
    • A fishing net design
    • The graph of components and how they are connected
    • The internet routing table
  5. Which fast objective signals are documented by the cited Circuit Training project?
    • Proxy wirelength, congestion and density
    • A proof of all manufacturing and timing requirements
    • Only the product’s market price
    • Only a mandatory social-media popularity score
  6. In Google’s cited 2020 method description, what places standard-cell clusters after the RL macro placements?
    • Only an unchanged alphabetical component sort
    • Only a user-interface screenshot
    • A guarantee that no standard cells remain
    • A force-directed procedure
  7. For pins at (0,0),(4,0),(4,3), what is the half-perimeter wirelength estimate in coordinate units?
    • 14
    • 12
    • 7
    • 4
  8. What does the documented can_place_node check evaluate for a proposed grid location?
    • Whether the entire chip is globally optimal
    • Whether the node can be placed there under relevant location constraints
    • Whether every final routed timing path passes signoff
    • Whether the model’s prediction is a factual-confidence probability

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