Lecture22-Energy

# Lecture22-Energy - EE141 1 EE141 EECS141 1 Lecture#22 EE141...

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Unformatted text preview: EE141 1 EE141 EECS141 1 Lecture #22 EE141 EECS141 2 Lecture #22 Midterm 2 over – grades by next Wednesday DO NOT FORGET THE PROJECT! Due on Wednesday April 14 Extra office hours of TAs on Mo and Tu (during lab hours) in 353 Cory Project Phase 1 has been graded EE141 2 EE141 EECS141 3 Lecture #22 Last lecture Technology Scaling Midterm Today’s lecture Adders Reading (Ch 5, Ch 11) EE141 EECS141 4 Lecture #22 Grading Policy Approach and Correctness (40%) Results (30%) Creativity (10%) Report (20%) 0 3 7 3 4 0 50 60 70 80 90 100 Project Phase 1 - Distribution average: 80.4 stdev: 10.4 You will receive individual feedback. EE141 3 EE141 EECS141 5 Lecture #22 0 1 2 3 4 5 125-150 150-175 175-200 200-225 225-250 250-275 # Delay (psec) EE141 EECS141 6 Lecture #22 Starting from Optimal # of Stages Correct Hand Calculations Optimized Logic Network EE141 4 EE141 EECS141 7 Lecture #22 Worst Case Input Pattern Analysis Noise Margin Simulation Well-Organized Report EE141 EECS141 8 Lecture #22 EE141 5 EE141 EECS141 9 Lecture #22 Energy consumed in N cycles, E N : E N = C L • V DD 2 • n → 1 n → 1 – number of 0 → 1 transitions in N cycles EE141 EECS141 10 Lecture #22 EE141 6 EE141 EECS141 11 Lecture #22 A B Out 0 0 1 0 1 0 1 0 0 1 1 0 Example: Static 2-input NOR Gate Assume signal probabilities p A =1 = 1/2 p B =1 = 1/2 Then transition probability p → 1 = p Out =0 x p Out =1 = 3/4 x 1/4 = 3/16 α →...
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Lecture22-Energy - EE141 1 EE141 EECS141 1 Lecture#22 EE141...

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