PATENT CLAIM ANALYSIS

Application Number: 15869484
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["716", "100000"]

Abstract:
Systems and methods for selecting die and package parasitic for an input-output (IO) power domain are described. In one embodiment, the method includes determining a minimum on-die decoupling capacitance based at least in part on a product of a number of simultaneously switching IOs of the die and a maximum instantaneous current of an IO; determining a maximum package inductance based at least in part on a maximum operating frequency of an IC and a target impedance of a power delivery network of the die, the IC package, and a printed circuit board (PCB); and determining a maximum die resistance based at least in part on preventing the maximum die resistance from exceeding a maximum static IR drop of the die.

Claim (Index 14):
The computer system of  claim 13 , wherein the one or more processors are further configured to:\n upon determining the system performance is met and the voltage fluctuations are within the predetermined limit, or the peak resonance satisfies the target impedance, or both, implement a current value of the on-die decoupling capacitance, a current value of the package inductance, and a current value of the die resistance; and upon determining the system performance is not met, or the voltage fluctuations are outside the predetermined limit and the peak resonance fails to satisfy the target impedance, or both, shift the operating frequency back to the first range and implement an alternate process to mitigate the peak resonance.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.0
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11523270', '09625578', '15869542', '13428403', '11382668']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3217293395801278
- 35 USC 102 Novelty (BERT): 0.4871378573583852
- Combined Prediction Score: 0.3382701913579535
- Mean Citation Score: 191.44015800000005
- Max Citation Score: 193.86746
- Similarity Product: 121.29393680532336

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test