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 12):
The tininess prediction and handler engine of  claim 11 , wherein:\n the scheduler modification logic section of the scheduler is configured to cause one or more time bubbles responsive to the pessimistic tiny indicator; and the subnormal trombone post-processing pipe is configured to process the one or more internal format results and pass through the one or more normal results during time slots corresponding to the one or more time bubbles.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.8046
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15067159', '10328572', '14996216', '12533800', '15646543']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.41415068526854
- 35 USC 102 Novelty (BERT): 0.6394654454880391
- Combined Prediction Score: 0.43668216129049
- Mean Citation Score: 231.047056
- Max Citation Score: 605.9673
- Similarity Product: 549.783220739472

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