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Decoders and Trees

מבנה המחשב + מבוא למחשבים ספרתיים תרגול 4#. Decoders and Trees. Decoder’( n ). Decoder( n ) design shown and proven in class:. Decoder(1). for k = n-1 :. Decoder’( n ). Decoder’( n ) is a private case of Decoder( n ) design. ( k = n-1 or k = 1 ).

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Decoders and Trees

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  1. מבנה המחשב + מבוא למחשבים ספרתייםתרגול 4# Decoders and Trees

  2. Decoder’(n)

  3. Decoder(n) design shown and proven in class:

  4. Decoder(1) for k = n-1: Decoder’(n)

  5. Decoder’(n) is a private case of Decoder(n) design. (k = n-1 or k = 1) Decoder’(n) is a correct implementation of a decoder. Cost analysis: Solving the recurrence: asymptotics

  6. Delay analysis: Solving the recurrence: Linear Delay!!!

  7. Decoder(n) for k = n/2

  8. Consider the top two recursion steps: • each AND-gate in the “AND-gates array” of the second recursion step, i.e. Decoder(n/2), feeds 2n/2 AND-gates in the “AND-gates array” of the primary recursion step, i.e. Decoder(n).

  9. Cost Delay

  10. OR OR-Tree(n/2) OR-Tree(n/2) Balanced Trees Logarithmic Delay Lower Bound Theorem: Let C = < G , N > denote a combinational circuit that implements a non-constant Boolean function f: {0,1}n → {0,1}. If the fan-in of every gate in G is at most c, then the delay of C is at least logc|cone(f)|. cone(ORn) = n Delay of the balanced tree is minimized. delay(ORn) ≥ log2(n)·d(OR) fan-in ≤ 2

  11. Recursive algorithm for computing an OR-tree(n) 1. The case that n ≤ 2 is trivial. 2. If n > 2, then let a, b be any pair of positive integers such that (i) n = a + b and (ii) max{log2a , log2b} ≤ log2n - 1. 3. Compute an OR-tree(a) and an OR-tree(b). Connect their outputs to an OR-gate to obtain an OR-tree(n). Claim: the above algorithm computes a minimum delay OR-tree.

  12. Proof: We first show that for every n > 2 there exist a pair of positive numbers a, b such that: Note that this is the most unbalanced partition of n, and still we get the minimal delay.

  13. We prove by induction on n that the delay of the computed OR-tree is log2n ·d(OR) to obtain delay minimality. Induction basis:n = 1 or n = 2 are trivial cases. Induction hypothesis: Induction step: we prove the claim for n,

  14. Buffers A balanced tree structure minimizes the delay and cost. The tree is a binary tree due to fan-out limitations. Notice: * The leaves of the tree feed the gate outputs. * The root of the tree is fed by the gate input. * The first branching is free → no need for a “root” gate.

  15. 1-buf-trees Fanout limitation effect on design Cost analysis:

  16. 1-buf-trees Delay analysis:

  17. 1-buf-trees Cost analysis: Delay analysis:

  18. Cost Decoder(n), Fanout<=2: n=1: 1 n=2: 10 n=4: 68 n=8: 1096 n=16: 263312 n=32: 1.71801e+010 n=64: 7.3787e+019 n=128: 1.36113e+039 Cost Decoder(n): n=1: 1 n=2: 10 n=4: 52 n=8: 616 n=16: 132304 n=32: 8.5902e+009 n=64: 3.68935e+019 n=128: 6.80565e+038 Cost Decoder‘(n): n=1: 1 n=2: 10 n=4: 60 n=8: 1024 n=16: 262152 n=32: 1.71799e+010 n=64: 7.3787e+019 n=128: 1.36113e+039 Cost Decoder‘(n), Fanout<=2: n=1: 1 n=2: 11 n=4: 79 n=8: 1511 n=16: 393175 n=32: 2.57698e+010 n=64: 1.1068e+020 n=128: 2.04169e+039

  19. Delay Decoder(n): n=1: 1 n=2: 3 n=4: 5 n=8: 7 n=16: 9 n=32: 11 n=64: 13 n=128: 15 Delay Decoder(n), Fanout<=2: n=1: 1 n=2: 3 n=4: 6 n=8: 11 n=16: 20 n=32: 37 n=64: 70 n=128: 135 Delay Decoder‘(n): n=1: 1 n=2: 3 n=4: 7 n=8: 15 n=16: 31 n=32: 63 n=64: 127 n=128: 255 Delay Decoder‘(n), Fanout<=2: n=1: 1 n=2: 4 n=4: 8 n=8: 16 n=16: 32 n=32: 64 n=64: 128 n=128: 256

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