PATENT CLAIM ANALYSIS

Application Number: 15934911
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["708", "498000"]

Abstract:
Embodiments of the present disclosure include a tininess prediction and handler engine for handling numeric underflow while streamlining the data path for handling normal range cases, thereby avoiding flushes, and reducing the complexity of a scheduler with respect to how dependent operations are handled. A preemptive tiny detection logic section can detect a potential tiny result for the function or operation that is being performed, and can produce a pessimistic tiny indicator. The tininess prediction and handler engine can further include a subnormal post-processing pipe, which can denormalize and round one or more subnormal operations while in a post-processing mode. A schedule modification logic section can reschedule in-flight operations. The schedule modification logic section can issue dependent operations optimistically assuming that a producing operation will not produce a tiny result, and so will not incur extra latency associated with fixing the tiny result in the post-processing pipe.

Claim (Index 15):
The method of  claim 14 , further comprising:\n producing, by the pre-emptive tiny detection logic section of the functional pipe, a pessimistic tiny indicator responsive to predicting the subnormal result associated with the one or more floating point operations; and receiving, by the scheduler modification logic section of the scheduler, the pessimistic tiny indicator from the pre-emptive tiny detection logic section of the functional pipe; and causing, by the scheduler modification logic section of the scheduler, the post-processing mode to be entered responsive to the pessimistic tiny indicator.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.8046
- Patent Class: 708.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15067159', '10328572', '14996216', '12533800', '15646543']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3826037321132903
- 35 USC 102 Novelty (BERT): 0.6451187470565045
- Combined Prediction Score: 0.4088552336076118
- Mean Citation Score: 231.047056
- Max Citation Score: 605.9673
- Similarity Product: 577.9408876218437

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

Dataset: test