PATENT CLAIM ANALYSIS

Application Number: 16006495
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["716", "109000"]

Abstract:
A method for tailoring a bespoke processor includes generating first gate-level activity information of a general purpose processor design for all possible executions of a first target application for any possible inputs to the first target application. The method includes gate cutting and stitching based on the first gate-level activity information to remove unusable gates from the general purpose processor design and reconnect cut connections between the remaining gates of the general purpose processor design to generate a bespoke processor design for the first target application.

Claim (Index 5):
The method of  claim 1 , further comprising:\n generating a list of unusable gates based on the first gate-level activity information, wherein performing gate cutting and stitching comprises:\n removing each gate on the list of unusable gates from a gate-level netlist of the general purpose processor design; \n tying fanout locations that were connected to the output net of each removed gate to a static voltage corresponding to the constant output value of the gate observed while generating the first gate-level activity information; \n re-synthesizing the gate-level netlist after removing unusable gates; and \n placing and routing the re-synthesized netlist to produce the bespoke processor design.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 94.0
- Lexical Diversity: 2.0
- Patent Class: 716.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11054904', '15464808', '15791620', '13455789', '13104573']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3084200035441049
- 35 USC 102 Novelty (BERT): 0.4413344087173745
- Combined Prediction Score: 0.3217114440614319
- Mean Citation Score: 122.404074
- Max Citation Score: 134.34856000000002
- Similarity Product: 102.4238228896618

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

Dataset: test