PATENT CLAIM ANALYSIS

Application Number: 15991653
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["711", "130000"]

Abstract:
This disclosure is directed to the problem of paralleling random read access within a reasonably sized block of data for a vector SIMD processor. The invention sets up plural parallel look up tables, moves data from main memory to each plural parallel look up table and then employs a look up table read instruction to simultaneously move data from each parallel look up table to a corresponding part a vector destination register. This enables data processing by vector single instruction multiple data (SIMD) operations. This vector destination register load can be repeated if the tables store more used data. New data can be loaded into the original tables if appropriate. A level one memory is preferably partitioned as part data cache and part directly addressable memory. The look up table memory is stored in the directly addressable memory.

Claim (Index 11):
The method of data processing of  claim 9 , wherein:\n the vector destination register includes sixteen data slots; and upon selecting a number of tables equal to two, the step of storing each recalled element in the vector destination register at a location stores a first recalled element in a first data slot and a second recalled element in a ninth data slot.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 93.0
- Lexical Diversity: 1.85
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14920298', '15384580', '15204243', '15971875', '14579641']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5312476755720446
- 35 USC 102 Novelty (BERT): 0.5157067949832832
- Combined Prediction Score: 0.5296935875131684
- Mean Citation Score: 268.54571400000003
- Max Citation Score: 284.76724
- Similarity Product: 202.3555720656585

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

Dataset: test